Enhancing tertiary healthcare education through 3D MUVE-based simulations
- Miller, Charlynn, Lee, Mark, Rogers, Luke, Peck, Blake
- Authors: Miller, Charlynn , Lee, Mark , Rogers, Luke , Peck, Blake
- Date: 2011
- Type: Text , Book chapter
- Relation: Teaching through multi-user virtual environments: applying dynamic elements to the modern classroom p. 341-364
- Full Text: false
- Reviewed:
- Description: This chapter focuses specifically on the use of three-dimensional multi-user virtual environments (3D MUVEs) for simulation-based teaching and learning in tertiary-level healthcare education. It draws on a broad range of extant research conducted over the past three decades, synthesizing this with newer developments and examples that have emerged since the advent and proliferation of the “3D Web.” The chapter adopts and advocates a research-informed approach to surveying and examining current initiatives and future directions, backed by relevant literature in the areas of online learning, constructivist learning theory, and simulations. Both opportunities and challenges are discussed, with the aim of making a contribution to the development of best practice in the field.
- Description: 2003008456
- Anderson, Amanda, Cant, Robyn, Hood, Kerry
- Authors: Anderson, Amanda , Cant, Robyn , Hood, Kerry
- Date: 2014
- Type: Text , Journal article
- Relation: Nurse Education in Practice Vol. 14, no. 5 (2014), p. 518-524
- Full Text: false
- Reviewed:
- Description: Pre-professional healthcare courses, including nursing, are increasingly focused on interprofessional learning and experimentation with clinical education in ‘training wards’. This involves students from at least two disciplines who, under supervision, are responsible for patients' care. There is no consensus on how students' clinical learning experiences in this context are evaluated. We report the development and testing of the Interprofessional Clinical Placement Learning Environment Inventory (ICPLEI) in the Australian context. A question set was developed to measure student's perceptions of key variables in an interprofessional clinical learning environment: orientation, supervision, roles, learning and autonomy. An expert nursing panel rated items for a Content Validity Index of .93. Reliability was tested with 38 students. After a 2-week interprofessional ward placement nursing, medical and allied health students (n = 38) rated their learning environment highly, with median responses 4 or 5 of five (mean total 83%). The scale was reliable with a Cronbach alpha of .80 and moderate item-to-total correlations for 22/26 items. The Interprofessional Clinical Placement Learning Environment Inventory is a reliable, feasible, fast to complete tool, suitable for use with pre-registration healthcare students in this setting. Further testing of the tool's psychometric properties is recommended.
- Balasubramanian, Venki, Hoang, Doan, Zia, Tanveer
- Authors: Balasubramanian, Venki , Hoang, Doan , Zia, Tanveer
- Date: 2011
- Type: Text , Conference proceedings
- Relation: 21st International Conference on Systems Engineering, ICSEng 2011; Las Vegas, NV; United States; 16th-18th Aug, published in Proceedings - ICSEng 2011: International Conference on Systems Engineering; p. 416-421
- Full Text: false
- Reviewed:
- Description: In-house healthcare monitoring applications are continuous time-critical applications often built upon Body Area Wireless Sensor Networks (BAWSNs). Our Assistive Care Loop Framework (ACLF) is an in-house healthcare application capable of monitoring the health conditions of aged/patients over a dedicated period of time by deploying the BAWSN as the monitoring component. However, the wireless medium used in the BAWSN for communications is prone to vulnerabilities that could open a door to attackers tampering with or compromising the user's data privacy. Hence, it is imperative to maintain the privacy and integrity of the data to gain the confidence and hence, the acceptance of the users of the healthcare applications. Furthermore, in time-critical applications, the vital health conditions must be monitored at regular intervals within their specified critical time. Therefore, the security model proposed for the BAWSN must not incur undue overheads when meeting the critical time requirements of the application. In this paper, we propose and implement a secure adaptive triple-key scheme (aTKS) for the BAWSN to achieve the privacy and integrity of the monitored data with minimal overheads. We then present the performance results of our scheme for the BAWSN, using real-time test-bed implementations and simulations. © 2011 IEEE.
- Description: Proceedings - ICSEng 2011: International Conference on Systems Engineering
Group decision making in health care : A case study of multidisciplinary meetings
- Sharma, Vishakha, Stranieri, Andrew, Burstein, Frada, Warren, Jim, Daly, Sharon, Patterson, Louise, Yearwood, John, Wolff, Alan
- Authors: Sharma, Vishakha , Stranieri, Andrew , Burstein, Frada , Warren, Jim , Daly, Sharon , Patterson, Louise , Yearwood, John , Wolff, Alan
- Date: 2016
- Type: Text , Journal article
- Relation: Journal of Decision Systems Vol. 25, no. (2016), p. 476-485
- Full Text:
- Reviewed:
- Description: Abstract: Recent studies have demonstrated that Multi-Disciplinary Meetings (MDM) practiced in some medical contexts can contribute to positive health care outcomes. The group reasoning and decision-making in MDMs has been found to be most effective when deliberations revolve around the patient’s needs, comprehensive information is available during the meeting, core members attend and the MDM is effectively facilitated. This article presents a case study of the MDMs in cancer care in a region of Australia. The case study draws on a group reasoning model called the Reasoning Community model to analyse MDM deliberations to illustrate that many factors are important to support group reasoning, not solely the provision of pertinent information. The case study has implications for the use of data analytics in any group reasoning context. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
- Authors: Sharma, Vishakha , Stranieri, Andrew , Burstein, Frada , Warren, Jim , Daly, Sharon , Patterson, Louise , Yearwood, John , Wolff, Alan
- Date: 2016
- Type: Text , Journal article
- Relation: Journal of Decision Systems Vol. 25, no. (2016), p. 476-485
- Full Text:
- Reviewed:
- Description: Abstract: Recent studies have demonstrated that Multi-Disciplinary Meetings (MDM) practiced in some medical contexts can contribute to positive health care outcomes. The group reasoning and decision-making in MDMs has been found to be most effective when deliberations revolve around the patient’s needs, comprehensive information is available during the meeting, core members attend and the MDM is effectively facilitated. This article presents a case study of the MDMs in cancer care in a region of Australia. The case study draws on a group reasoning model called the Reasoning Community model to analyse MDM deliberations to illustrate that many factors are important to support group reasoning, not solely the provision of pertinent information. The case study has implications for the use of data analytics in any group reasoning context. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
A biometric based authentication and encryption Framework for Sensor Health Data in Cloud
- Sharma, Surender, Balasubramanian, Venki
- Authors: Sharma, Surender , Balasubramanian, Venki
- Date: 2014
- Type: Text , Conference proceedings
- Full Text:
- Description: Use of remote healthcare monitoring application (HMA) can not only enable healthcare seeker to live a normal life while receiving treatment but also prevent critical healthcare situation through early intervention. For this to happen, the HMA have to provide continuous monitoring through sensors attached to the patient's body or in close proximity to the patient. Owing to elasticity nature of the cloud, recently, the implementation of HMA in cloud is of intense research. Although, cloud-based implementation provides scalability for implementation, the health data of patient is super-sensitive and requires high level of privacy and security for cloud-based shared storage. In addition, protection of real-time arrival of large volume of sensor data from continuous monitoring of patient poses bigger challenge. In this work, we propose a self-protective security framework for our cloud-based HMA. Our framework enable the sensor data in the cloud from (1) unauthorized access and (2) self-protect the data in case of breached access using biometrics. The framework is detailed in the paper using mathematical formulation and algorithms. © 2014 IEEE.
- Authors: Sharma, Surender , Balasubramanian, Venki
- Date: 2014
- Type: Text , Conference proceedings
- Full Text:
- Description: Use of remote healthcare monitoring application (HMA) can not only enable healthcare seeker to live a normal life while receiving treatment but also prevent critical healthcare situation through early intervention. For this to happen, the HMA have to provide continuous monitoring through sensors attached to the patient's body or in close proximity to the patient. Owing to elasticity nature of the cloud, recently, the implementation of HMA in cloud is of intense research. Although, cloud-based implementation provides scalability for implementation, the health data of patient is super-sensitive and requires high level of privacy and security for cloud-based shared storage. In addition, protection of real-time arrival of large volume of sensor data from continuous monitoring of patient poses bigger challenge. In this work, we propose a self-protective security framework for our cloud-based HMA. Our framework enable the sensor data in the cloud from (1) unauthorized access and (2) self-protect the data in case of breached access using biometrics. The framework is detailed in the paper using mathematical formulation and algorithms. © 2014 IEEE.
Cybersecurity indexes for eHealth
- Burke, Wendy, Oseni, Taiwo, Jolfaei, Alireza, Gondal, Iqbal
- Authors: Burke, Wendy , Oseni, Taiwo , Jolfaei, Alireza , Gondal, Iqbal
- Date: 2019
- Type: Text , Conference proceedings
- Relation: 2019 Australasian Computer Science Week Multiconference, ACSW 2019; Sydney, Australia; 29th-31st January 2019 p. 1-8
- Full Text: false
- Reviewed:
- Description: This study aimed to explore the cybersecurity landscape to identify cybersecurity indexes that may be relevant to the health industry. While the healthcare sector poses security concerns regarding patients' records, cybersecurity in the healthcare sector has not been given much consideration. Cybersecurity indexes are a survey that measures security preparedness and capabilities of a country or organisation. An index is made up of a series of questions, often broken into categories. These categories target areas such as law, technical responses, organisational threats, capacity building and social context. Some indexes provide ranking capabilities against other countries, while others directly evaluate what it means to be cyber-ready. In this paper, cybersecurity indexes were reviewed regarding the level of assessment (country level/organisation level), and their consideration of the wider community, the health sector, and their appearance in academic literature. Results from this study found that there was no consistency between the indexes investigated, with each index having a diverse number of categories and indicators. Some indexes resulted in a score; others did not rank their results in league tables. Evidence to calculate the level of adherence was often obtained from secondary sources, with four of the country indexes using both primary and secondary sources. Eight (out of fourteen) indexes measured wider community indicators and only one index specifically measured eHealth services. Findings from the initial systematic review suggest that hardly any peer-reviewed journal articles exist on the topic of cybersecurity indexes. The paper concludes that most of the indexes studied are broad and do not consider the eHealth sector specifically. Each index relies on a different process to gauge cybersecurity, with little to no academic rigour. It is expected that this research will contribute to the current (limited) literature addressing cybersecurity indexes.
- Description: ACM International Conference Proceeding Series
Continuous patient monitoring with a patient centric agent : A block architecture
- Uddin, Ashraf, Stranieri, Andrew, Gondal, Iqbal, Balasubramanian, Venki
- Authors: Uddin, Ashraf , Stranieri, Andrew , Gondal, Iqbal , Balasubramanian, Venki
- Date: 2018
- Type: Text , Journal article
- Relation: IEEE Access Vol. 6, no. (2018), p. 32700-32726
- Full Text:
- Reviewed:
- Description: The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including continuous remote patient monitoring (RPM). However, the complexity of RPM architectures, the size of data sets generated and limited power capacity of devices make RPM challenging. In this paper, we propose a tier-based End to End architecture for continuous patient monitoring that has a patient centric agent (PCA) as its center piece. The PCA manages a blockchain component to preserve privacy when data streaming from body area sensors needs to be stored securely. The PCA based architecture includes a lightweight communication protocol to enforce security of data through different segments of a continuous, real time patient monitoring architecture. The architecture includes the insertion of data into a personal blockchain to facilitate data sharing amongst healthcare professionals and integration into electronic health records while ensuring privacy is maintained. The blockchain is customized for RPM with modifications that include having the PCA select a Miner to reduce computational effort, enabling the PCA to manage multiple blockchains for the same patient, and the modification of each block with a prefix tree to minimize energy consumption and incorporate secure transaction payments. Simulation results demonstrate that security and privacy can be enhanced in RPM with the PCA based End to End architecture.
- Authors: Uddin, Ashraf , Stranieri, Andrew , Gondal, Iqbal , Balasubramanian, Venki
- Date: 2018
- Type: Text , Journal article
- Relation: IEEE Access Vol. 6, no. (2018), p. 32700-32726
- Full Text:
- Reviewed:
- Description: The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including continuous remote patient monitoring (RPM). However, the complexity of RPM architectures, the size of data sets generated and limited power capacity of devices make RPM challenging. In this paper, we propose a tier-based End to End architecture for continuous patient monitoring that has a patient centric agent (PCA) as its center piece. The PCA manages a blockchain component to preserve privacy when data streaming from body area sensors needs to be stored securely. The PCA based architecture includes a lightweight communication protocol to enforce security of data through different segments of a continuous, real time patient monitoring architecture. The architecture includes the insertion of data into a personal blockchain to facilitate data sharing amongst healthcare professionals and integration into electronic health records while ensuring privacy is maintained. The blockchain is customized for RPM with modifications that include having the PCA select a Miner to reduce computational effort, enabling the PCA to manage multiple blockchains for the same patient, and the modification of each block with a prefix tree to minimize energy consumption and incorporate secure transaction payments. Simulation results demonstrate that security and privacy can be enhanced in RPM with the PCA based End to End architecture.
Supervision in healthcare : a critical review of the role, function and capacity for training
- Terry, Daniel, Nguyen, Hoang, Perkins, Alicia, Peck, Blake
- Authors: Terry, Daniel , Nguyen, Hoang , Perkins, Alicia , Peck, Blake
- Date: 2020
- Type: Text , Journal article
- Relation: Universal Journal of Public Health Vol. 8, no. 1 (2020), p. 1-14
- Full Text:
- Reviewed:
- Description: This paper examines the notion of clinical supervision and takes a close look at what it means from the perspective of both the supervisee and the supervisor, considering how it can be of benefit to the learner, the teacher and the patient. Clinical supervision has been shown to be vital for the development and consolidation of undergraduate and postgraduate education, while having a positive impact on patient outcomes and as such is a fundamental component in healthcare education. Central to supervision is achieving the best outcomes for the supervisee, and effective supervision ensures the development of confidence, professional identity, and the consolidation of therapeutic knowledge. Clinical supervision provides a platform for extending the supervisor-supervisee relationship beyond the student-teacher model to one of mutual personal development in contemporary knowledge and skills for clinical practice. Despite the perceived importance of clinical supervision for healthcare more broadly, there is evidence to suggest that few supervisors are adequately prepared with the theory and practice of clinical supervision to adequately fulfill the expectations that the role entails. It follows therefore, that in many cases, there is an expectation that the health professionals will supervise without adequate preparation. This paper, although not a panacea, may assist those who are supervising and who seek or require some guidance and support.
- Authors: Terry, Daniel , Nguyen, Hoang , Perkins, Alicia , Peck, Blake
- Date: 2020
- Type: Text , Journal article
- Relation: Universal Journal of Public Health Vol. 8, no. 1 (2020), p. 1-14
- Full Text:
- Reviewed:
- Description: This paper examines the notion of clinical supervision and takes a close look at what it means from the perspective of both the supervisee and the supervisor, considering how it can be of benefit to the learner, the teacher and the patient. Clinical supervision has been shown to be vital for the development and consolidation of undergraduate and postgraduate education, while having a positive impact on patient outcomes and as such is a fundamental component in healthcare education. Central to supervision is achieving the best outcomes for the supervisee, and effective supervision ensures the development of confidence, professional identity, and the consolidation of therapeutic knowledge. Clinical supervision provides a platform for extending the supervisor-supervisee relationship beyond the student-teacher model to one of mutual personal development in contemporary knowledge and skills for clinical practice. Despite the perceived importance of clinical supervision for healthcare more broadly, there is evidence to suggest that few supervisors are adequately prepared with the theory and practice of clinical supervision to adequately fulfill the expectations that the role entails. It follows therefore, that in many cases, there is an expectation that the health professionals will supervise without adequate preparation. This paper, although not a panacea, may assist those who are supervising and who seek or require some guidance and support.
A patient agent controlled customized blockchain based framework for internet of things
- Authors: Uddin, Md Ashraf
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Although Blockchain implementations have emerged as revolutionary technologies for various industrial applications including cryptocurrencies, they have not been widely deployed to store data streaming from sensors to remote servers in architectures known as Internet of Things. New Blockchain for the Internet of Things models promise secure solutions for eHealth, smart cities, and other applications. These models pave the way for continuous monitoring of patient’s physiological signs with wearable sensors to augment traditional medical practice without recourse to storing data with a trusted authority. However, existing Blockchain algorithms cannot accommodate the huge volumes, security, and privacy requirements of health data. In this thesis, our first contribution is an End-to-End secure eHealth architecture that introduces an intelligent Patient Centric Agent. The Patient Centric Agent executing on dedicated hardware manages the storage and access of streams of sensors generated health data, into a customized Blockchain and other less secure repositories. As IoT devices cannot host Blockchain technology due to their limited memory, power, and computational resources, the Patient Centric Agent coordinates and communicates with a private customized Blockchain on behalf of the wearable devices. While the adoption of a Patient Centric Agent offers solutions for addressing continuous monitoring of patients’ health, dealing with storage, data privacy and network security issues, the architecture is vulnerable to Denial of Services(DoS) and single point of failure attacks. To address this issue, we advance a second contribution; a decentralised eHealth system in which the Patient Centric Agent is replicated at three levels: Sensing Layer, NEAR Processing Layer and FAR Processing Layer. The functionalities of the Patient Centric Agent are customized to manage the tasks of the three levels. Simulations confirm protection of the architecture against DoS attacks. Few patients require all their health data to be stored in Blockchain repositories but instead need to select an appropriate storage medium for each chunk of data by matching their personal needs and preferences with features of candidate storage mediums. Motivated by this context, we advance third contribution; a recommendation model for health data storage that can accommodate patient preferences and make storage decisions rapidly, in real-time, even with streamed data. The mapping between health data features and characteristics of each repository is learned using machine learning. The Blockchain’s capacity to make transactions and store records without central oversight enables its application for IoT networks outside health such as underwater IoT networks where the unattended nature of the nodes threatens their security and privacy. However, underwater IoT differs from ground IoT as acoustics signals are the communication media leading to high propagation delays, high error rates exacerbated by turbulent water currents. Our fourth contribution is a customized Blockchain leveraged framework with the model of Patient-Centric Agent renamed as Smart Agent for securely monitoring underwater IoT. Finally, the smart Agent has been investigated in developing an IoT smart home or cities monitoring framework. The key algorithms underpinning to each contribution have been implemented and analysed using simulators.
- Description: Doctor of Philosophy
- Authors: Uddin, Md Ashraf
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Although Blockchain implementations have emerged as revolutionary technologies for various industrial applications including cryptocurrencies, they have not been widely deployed to store data streaming from sensors to remote servers in architectures known as Internet of Things. New Blockchain for the Internet of Things models promise secure solutions for eHealth, smart cities, and other applications. These models pave the way for continuous monitoring of patient’s physiological signs with wearable sensors to augment traditional medical practice without recourse to storing data with a trusted authority. However, existing Blockchain algorithms cannot accommodate the huge volumes, security, and privacy requirements of health data. In this thesis, our first contribution is an End-to-End secure eHealth architecture that introduces an intelligent Patient Centric Agent. The Patient Centric Agent executing on dedicated hardware manages the storage and access of streams of sensors generated health data, into a customized Blockchain and other less secure repositories. As IoT devices cannot host Blockchain technology due to their limited memory, power, and computational resources, the Patient Centric Agent coordinates and communicates with a private customized Blockchain on behalf of the wearable devices. While the adoption of a Patient Centric Agent offers solutions for addressing continuous monitoring of patients’ health, dealing with storage, data privacy and network security issues, the architecture is vulnerable to Denial of Services(DoS) and single point of failure attacks. To address this issue, we advance a second contribution; a decentralised eHealth system in which the Patient Centric Agent is replicated at three levels: Sensing Layer, NEAR Processing Layer and FAR Processing Layer. The functionalities of the Patient Centric Agent are customized to manage the tasks of the three levels. Simulations confirm protection of the architecture against DoS attacks. Few patients require all their health data to be stored in Blockchain repositories but instead need to select an appropriate storage medium for each chunk of data by matching their personal needs and preferences with features of candidate storage mediums. Motivated by this context, we advance third contribution; a recommendation model for health data storage that can accommodate patient preferences and make storage decisions rapidly, in real-time, even with streamed data. The mapping between health data features and characteristics of each repository is learned using machine learning. The Blockchain’s capacity to make transactions and store records without central oversight enables its application for IoT networks outside health such as underwater IoT networks where the unattended nature of the nodes threatens their security and privacy. However, underwater IoT differs from ground IoT as acoustics signals are the communication media leading to high propagation delays, high error rates exacerbated by turbulent water currents. Our fourth contribution is a customized Blockchain leveraged framework with the model of Patient-Centric Agent renamed as Smart Agent for securely monitoring underwater IoT. Finally, the smart Agent has been investigated in developing an IoT smart home or cities monitoring framework. The key algorithms underpinning to each contribution have been implemented and analysed using simulators.
- Description: Doctor of Philosophy
Workplace based assessment program for international medical graduates : an evaluation of an Australian trial site
- Terry, Daniel, Peck, Blake, Gazula, Swapnali
- Authors: Terry, Daniel , Peck, Blake , Gazula, Swapnali
- Date: 2020
- Type: Text , Journal article
- Relation: Universal Journal of Public Health Vol. 8, no. 6 (2020), p. 198-206
- Full Text:
- Reviewed:
- Description: There is a need to understand Workplace Based Assessment programs in Australia to improve future offerings. This paper evaluates the efficacy of a Workplace Based Assessment program at a single regional Australian healthcare location using a mixed-method approach to collect data from three sources. Tools included Mini-Clinical Evaluation Exercise, case-based discussion and in-training assessment, and structured face-to-face interviews with eighteen key-stakeholders. The Workplace Based Assessment program itself was evaluated against a number of indicators, including the psychometric properties assessed by each of the tools used. In addition, the adequacy of the current program and specifically the tools used within it to determine the clinical competence and safety of International Medical Graduates was examined. Lastly, satisfaction of key-stakeholders with program preparation and usability of tools was investigated. The results indicate that the tools currently used within the Workplace Based Assessment program continue to be reliable, and assessors are assessing International Medical Graduates with a high degree of consistency across the program. In addition, this study found that both International Medical Graduates and assessors remain satisfied with regard to confidence, usability and user perception of the current Workplace Based Assessment methods to provide a more meaningful experience for those being assessed. Overall, this evaluation provides insights into the current Workplace Based Assessment program and makes recommendations for future improvements. These include clearer program guidelines; greater opportunities for support of International Medical Graduates, feedback for and further training of assessors. Copyright © 2020 by authors, all rights reserved.
- Authors: Terry, Daniel , Peck, Blake , Gazula, Swapnali
- Date: 2020
- Type: Text , Journal article
- Relation: Universal Journal of Public Health Vol. 8, no. 6 (2020), p. 198-206
- Full Text:
- Reviewed:
- Description: There is a need to understand Workplace Based Assessment programs in Australia to improve future offerings. This paper evaluates the efficacy of a Workplace Based Assessment program at a single regional Australian healthcare location using a mixed-method approach to collect data from three sources. Tools included Mini-Clinical Evaluation Exercise, case-based discussion and in-training assessment, and structured face-to-face interviews with eighteen key-stakeholders. The Workplace Based Assessment program itself was evaluated against a number of indicators, including the psychometric properties assessed by each of the tools used. In addition, the adequacy of the current program and specifically the tools used within it to determine the clinical competence and safety of International Medical Graduates was examined. Lastly, satisfaction of key-stakeholders with program preparation and usability of tools was investigated. The results indicate that the tools currently used within the Workplace Based Assessment program continue to be reliable, and assessors are assessing International Medical Graduates with a high degree of consistency across the program. In addition, this study found that both International Medical Graduates and assessors remain satisfied with regard to confidence, usability and user perception of the current Workplace Based Assessment methods to provide a more meaningful experience for those being assessed. Overall, this evaluation provides insights into the current Workplace Based Assessment program and makes recommendations for future improvements. These include clearer program guidelines; greater opportunities for support of International Medical Graduates, feedback for and further training of assessors. Copyright © 2020 by authors, all rights reserved.
Exploring interprofessional clinical placements to understand perceptions and outcomes for pre-registration healthcare students
- Authors: Hood, Kerry
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Background There is an ongoing need for preregistration healthcare students to acquire skills that equip them to collaborate with others for patient-centred care and outcomes. Traditional models of university learning and clinical placement seldom offer students the opportunities to experience interprofessional learning or to ‘test the waters’ of collaborative practice. Aims A range of interprofessional learning opportunities were offered to preregistration healthcare students while on clinical placement in a large metropolitan health service. This research evaluated interprofessional learning opportunities for preregistration healthcare students as preparation for collaborative practice. It also explored the perceived value for student learning of these activities and examined the challenges and opportunities accompanying the design and implementation of the student-led beds model. Methods A mixed methods approach was undertaken. In particular, there was a focus on the experiences of students in an immersive two-week interprofessional placement in which interprofessional student teams worked together to lead the care of inpatients in a variety of clinical settings. This experience enabled students to experience authentic collaborative practice in a real clinical setting. The Theory of Planned Behaviour was used to retrospectively evaluate the findings presented in the published papers. Outcomes This research reflects a journey of student experience of clinical interprofessional learning (IPL), from understanding attitudes to IPL to perceptions of clinical workshops and culminating in the experience of an immersive clinical placement. Outcomes included positive learning experiences and a sense of clarity of professional and interprofessional identity. The model of placement was informed by the international literature, most notably the ‘student-led bed’ model pioneered at Karolinska Institute in Sweden. Despite solid evidence of the usefulness and efficacy of this model, it is yet to be embedded in clinical environments across the world. This research demonstrated that the model can be successfully implemented in a metropolitan health service and may contribute to real behavioural change of our future health professionals
- Description: Doctor of Philosophy
- Authors: Hood, Kerry
- Date: 2021
- Type: Text , Thesis , PhD
- Full Text:
- Description: Background There is an ongoing need for preregistration healthcare students to acquire skills that equip them to collaborate with others for patient-centred care and outcomes. Traditional models of university learning and clinical placement seldom offer students the opportunities to experience interprofessional learning or to ‘test the waters’ of collaborative practice. Aims A range of interprofessional learning opportunities were offered to preregistration healthcare students while on clinical placement in a large metropolitan health service. This research evaluated interprofessional learning opportunities for preregistration healthcare students as preparation for collaborative practice. It also explored the perceived value for student learning of these activities and examined the challenges and opportunities accompanying the design and implementation of the student-led beds model. Methods A mixed methods approach was undertaken. In particular, there was a focus on the experiences of students in an immersive two-week interprofessional placement in which interprofessional student teams worked together to lead the care of inpatients in a variety of clinical settings. This experience enabled students to experience authentic collaborative practice in a real clinical setting. The Theory of Planned Behaviour was used to retrospectively evaluate the findings presented in the published papers. Outcomes This research reflects a journey of student experience of clinical interprofessional learning (IPL), from understanding attitudes to IPL to perceptions of clinical workshops and culminating in the experience of an immersive clinical placement. Outcomes included positive learning experiences and a sense of clarity of professional and interprofessional identity. The model of placement was informed by the international literature, most notably the ‘student-led bed’ model pioneered at Karolinska Institute in Sweden. Despite solid evidence of the usefulness and efficacy of this model, it is yet to be embedded in clinical environments across the world. This research demonstrated that the model can be successfully implemented in a metropolitan health service and may contribute to real behavioural change of our future health professionals
- Description: Doctor of Philosophy
Deriving value from health 2.0 : A study of social media use among healthcare providers
- Authors: Ukoha, Chukwuma
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Social media applications are increasingly being used by healthcare providers because of the numerous communication, information, and public relations benefits they offer. Despite the growing adoption of social media in healthcare settings, its specific uses and value propositions are not well understood. To ensure continuous improvement, social media performance must be measured. However, little is known about the tools, techniques and yardsticks used to measure social media performance in healthcare settings. This study adopts qualitative research methods to explore healthcare providers’ perspectives on the value of social media in healthcare settings. Australian healthcare providers, from organizations of different sizes and locations, who use social media, were interviewed and the transcripts thematically analysed. The results demonstrate the uses of social media in health care, as well as the steps and techniques in social media measurement. Based on the findings, it is clear that the ability of social media to support various activities in healthcare settings makes it valuable to healthcare providers. Drawing on Bakhtin’s ‘theories’ and Stevens’s theory of measurement, this study theorises on the value of social media and introduces a protocol for measuring social media performance in healthcare settings. As one of the first studies to apply Bakhtinian ideas to consumer health informatics, this study has the potential to pave a new approach to conceptualizing the role of social media, particularly in healthcare settings. By using Stevens’s theory of measurement to explore the yardsticks suitable for social media measurement, this study provides a more nuanced framework for measuring the value of social media in healthcare settings.
- Description: Doctor of Philosophy
- Authors: Ukoha, Chukwuma
- Date: 2020
- Type: Text , Thesis , PhD
- Full Text:
- Description: Social media applications are increasingly being used by healthcare providers because of the numerous communication, information, and public relations benefits they offer. Despite the growing adoption of social media in healthcare settings, its specific uses and value propositions are not well understood. To ensure continuous improvement, social media performance must be measured. However, little is known about the tools, techniques and yardsticks used to measure social media performance in healthcare settings. This study adopts qualitative research methods to explore healthcare providers’ perspectives on the value of social media in healthcare settings. Australian healthcare providers, from organizations of different sizes and locations, who use social media, were interviewed and the transcripts thematically analysed. The results demonstrate the uses of social media in health care, as well as the steps and techniques in social media measurement. Based on the findings, it is clear that the ability of social media to support various activities in healthcare settings makes it valuable to healthcare providers. Drawing on Bakhtin’s ‘theories’ and Stevens’s theory of measurement, this study theorises on the value of social media and introduces a protocol for measuring social media performance in healthcare settings. As one of the first studies to apply Bakhtinian ideas to consumer health informatics, this study has the potential to pave a new approach to conceptualizing the role of social media, particularly in healthcare settings. By using Stevens’s theory of measurement to explore the yardsticks suitable for social media measurement, this study provides a more nuanced framework for measuring the value of social media in healthcare settings.
- Description: Doctor of Philosophy
Chaos-based robust method of zero-watermarking for medical signals
- Ali, Zulfiqar, Imran, Muhammad, Alsulaiman, Mansour, Shoaib, Muhammad, Ullah, Sana
- Authors: Ali, Zulfiqar , Imran, Muhammad , Alsulaiman, Mansour , Shoaib, Muhammad , Ullah, Sana
- Date: 2018
- Type: Text , Journal article
- Relation: Future Generation Computer Systems Vol. 88, no. (2018), p. 400-412
- Full Text:
- Reviewed:
- Description: The growing use of wireless health data transmission via Internet of Things is significantly beneficial to the healthcare industry for optimal usage of health-related facilities. However, at the same time, the use raises concern of privacy protection. Health-related data are private and should be suitably protected. Several pathologies, such as vocal fold disorders, indicate high risks of prevalence in individuals with voice-related occupations, such as teachers, singers, and lawyers. Approximately, one-third of the world population suffers from the voice-related problems during the life span and unauthorized access to their data can create unavoidable circumstances in their personal and professional lives. In this study, a zero-watermarking method is proposed and implemented to protect the identity of patients who suffer from vocal fold disorders. In the proposed method, an image for a patient's identity is generated and inserted into secret keys instead of a host medical signal. Consequently, imperceptibility is naturally achieved. The locations for the insertion of the watermark are determined by a computation of local binary patterns from the time–frequency spectrum. The spectrum is calculated for low frequencies such that it may not be affected by noise attacks. The experimental results suggest that the proposed method has good performance and robustness against noise, and it is reliable in the recovery of an individual's identity. © 2018 Elsevier B.V.
- Authors: Ali, Zulfiqar , Imran, Muhammad , Alsulaiman, Mansour , Shoaib, Muhammad , Ullah, Sana
- Date: 2018
- Type: Text , Journal article
- Relation: Future Generation Computer Systems Vol. 88, no. (2018), p. 400-412
- Full Text:
- Reviewed:
- Description: The growing use of wireless health data transmission via Internet of Things is significantly beneficial to the healthcare industry for optimal usage of health-related facilities. However, at the same time, the use raises concern of privacy protection. Health-related data are private and should be suitably protected. Several pathologies, such as vocal fold disorders, indicate high risks of prevalence in individuals with voice-related occupations, such as teachers, singers, and lawyers. Approximately, one-third of the world population suffers from the voice-related problems during the life span and unauthorized access to their data can create unavoidable circumstances in their personal and professional lives. In this study, a zero-watermarking method is proposed and implemented to protect the identity of patients who suffer from vocal fold disorders. In the proposed method, an image for a patient's identity is generated and inserted into secret keys instead of a host medical signal. Consequently, imperceptibility is naturally achieved. The locations for the insertion of the watermark are determined by a computation of local binary patterns from the time–frequency spectrum. The spectrum is calculated for low frequencies such that it may not be affected by noise attacks. The experimental results suggest that the proposed method has good performance and robustness against noise, and it is reliable in the recovery of an individual's identity. © 2018 Elsevier B.V.
The impact of employees’ values on role engagement : assessing the moderating effects of distributive justice
- Rice, Bridget, Fieger, Peter, Rice, John, Martin, Nigel, Knox, Kathy
- Authors: Rice, Bridget , Fieger, Peter , Rice, John , Martin, Nigel , Knox, Kathy
- Date: 2017
- Type: Text , Journal article
- Relation: Leadership and Organization Development Journal Vol. 38, no. 8 (2017), p. 1095-1109
- Full Text:
- Reviewed:
- Description: Purpose: The purpose of this paper is to investigate the manner in which employees’ experience of distributive justice (DJ) moderates the impact of intrinsic and extrinsic values on role engagement (RE). RE is especially important in the healthcare setting (examined here) due to the sector’s complexity, changeability and emotionally challenging nature. Design/methodology/approach: Using data collected from a survey of employees from a large government health district in Southeast Queensland (Australia), this study examined the determinants of RE among a group of employees working across three hospital locations. Findings: The focus of the study was on the impact, both directly and in combination, of espoused extrinsic and intrinsic values and perceived DJ on RE. The authors identify strong direct effects from DJ on RE, and complex third-order effects for the combinations of intrinsic (IM) and extrinsic motivation and DJ in predicting RE. Research limitations/implications: As a cross-sectional and attitudinal survey, care must be taken in relation to common-method variance. Post hoc controls were performed in relation to this. Practical implications: DJ is important for all, and is a powerful motivator for engagement of employees reporting highly on IM. There is evidence that the most engaged employees are not those most motivated by extrinsic rewards alone, although employees who are motivated primarily by extrinsic rewards alone can be highly engaged when they experience high levels of DJ. Social implications: For managers seeking to engage their employees, an understanding of the different motivators for intrinsically vs extrinsically inclined employees is important. Taken together, these results suggest that employee RE is driven by a complex set of factors that differ between employees. Managing this complexity is an important consideration for managers. Originality/value: This is the first empirical study to show these interaction effects using these measures. The healthcare context, generally under researched, also features in this study. © 2017, © Emerald Publishing Limited.
- Authors: Rice, Bridget , Fieger, Peter , Rice, John , Martin, Nigel , Knox, Kathy
- Date: 2017
- Type: Text , Journal article
- Relation: Leadership and Organization Development Journal Vol. 38, no. 8 (2017), p. 1095-1109
- Full Text:
- Reviewed:
- Description: Purpose: The purpose of this paper is to investigate the manner in which employees’ experience of distributive justice (DJ) moderates the impact of intrinsic and extrinsic values on role engagement (RE). RE is especially important in the healthcare setting (examined here) due to the sector’s complexity, changeability and emotionally challenging nature. Design/methodology/approach: Using data collected from a survey of employees from a large government health district in Southeast Queensland (Australia), this study examined the determinants of RE among a group of employees working across three hospital locations. Findings: The focus of the study was on the impact, both directly and in combination, of espoused extrinsic and intrinsic values and perceived DJ on RE. The authors identify strong direct effects from DJ on RE, and complex third-order effects for the combinations of intrinsic (IM) and extrinsic motivation and DJ in predicting RE. Research limitations/implications: As a cross-sectional and attitudinal survey, care must be taken in relation to common-method variance. Post hoc controls were performed in relation to this. Practical implications: DJ is important for all, and is a powerful motivator for engagement of employees reporting highly on IM. There is evidence that the most engaged employees are not those most motivated by extrinsic rewards alone, although employees who are motivated primarily by extrinsic rewards alone can be highly engaged when they experience high levels of DJ. Social implications: For managers seeking to engage their employees, an understanding of the different motivators for intrinsically vs extrinsically inclined employees is important. Taken together, these results suggest that employee RE is driven by a complex set of factors that differ between employees. Managing this complexity is an important consideration for managers. Originality/value: This is the first empirical study to show these interaction effects using these measures. The healthcare context, generally under researched, also features in this study. © 2017, © Emerald Publishing Limited.
A scalable framework for healthcare monitoring application using the Internet of Medical Things
- Balasubramanian, Venki, Jolfaei, Alireza
- Authors: Balasubramanian, Venki , Jolfaei, Alireza
- Date: 2021
- Type: Text , Journal article
- Relation: Software - Practice and Experience Vol. 51, no. 12 (2021), p. 2457-2468
- Full Text:
- Reviewed:
- Description: Internet of Things (IoT) is finding application in many areas, particularly in health care where an IoT can be effectively used in the form of an Internet of Medical Things (IoMT) to monitor the patients remotely. The quality of life of the patients and health care outcomes can be improved with the deployment of an IoMT because health care professionals can monitor conditions; access the electronic medical records and communicates with each other. This remote monitoring and consultations might reduce the traditional stressful and costly exercise of frequent hospitalization. Also, the rising costs of health care in many developed countries have influenced the introduction of the Healthcare Monitoring Application (HMA) to their existing health care practices. To materialize the HMA concepts for successful deployment for civilian and commercial use with ease, application developers can benefit from a generic, scalable framework that provides significant components for building an HMA. In this chapter, a generic maintainable HMA is advanced by amalgamating the advantages of event-driven and the layered architecture. The proposed framework is used to establish an HMA with an end-to-end Assistive Care Loop Framework (ACLF) to provide a real-time alarm and assistance to monitor pregnant women. © 2020 John Wiley & Sons, Ltd.
- Authors: Balasubramanian, Venki , Jolfaei, Alireza
- Date: 2021
- Type: Text , Journal article
- Relation: Software - Practice and Experience Vol. 51, no. 12 (2021), p. 2457-2468
- Full Text:
- Reviewed:
- Description: Internet of Things (IoT) is finding application in many areas, particularly in health care where an IoT can be effectively used in the form of an Internet of Medical Things (IoMT) to monitor the patients remotely. The quality of life of the patients and health care outcomes can be improved with the deployment of an IoMT because health care professionals can monitor conditions; access the electronic medical records and communicates with each other. This remote monitoring and consultations might reduce the traditional stressful and costly exercise of frequent hospitalization. Also, the rising costs of health care in many developed countries have influenced the introduction of the Healthcare Monitoring Application (HMA) to their existing health care practices. To materialize the HMA concepts for successful deployment for civilian and commercial use with ease, application developers can benefit from a generic, scalable framework that provides significant components for building an HMA. In this chapter, a generic maintainable HMA is advanced by amalgamating the advantages of event-driven and the layered architecture. The proposed framework is used to establish an HMA with an end-to-end Assistive Care Loop Framework (ACLF) to provide a real-time alarm and assistance to monitor pregnant women. © 2020 John Wiley & Sons, Ltd.
On the value of healthcare social media : exploring users' perspectives
- Authors: Ukoha, Chukwuma
- Date: 2018
- Type: Text , Conference paper
- Relation: 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018
- Full Text: false
- Reviewed:
- Description: A plethora of social media applications are used by healthcare providers. However, despite the proliferation of social media in healthcare, its value remains unclear. This paper explores users' perspectives on the value of social media in healthcare, and how outcomes resulting from its use are ascertained. Preliminary results indicate that healthcare providers see social media as a medium through which they can reach out to their target audience in order to create value that is often intangible and underpinned by benevolence. While many users are clear on the value they desire from the application, the issue of measuring its value is a grey area because many of the available measurement yardsticks have limited applicability. Further research is needed to validate the preliminary findings, and create comprehensive value evaluation criteria for healthcare social media. © PACIS 2018.
Big data analytics for preventive medicine
- Razzak, Muhammad, Imran, Muhammad, Xu, Guandong
- Authors: Razzak, Muhammad , Imran, Muhammad , Xu, Guandong
- Date: 2020
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 32, no. 9 (2020), p. 4417-4451
- Full Text:
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- Description: Medical data is one of the most rewarding and yet most complicated data to analyze. How can healthcare providers use modern data analytics tools and technologies to analyze and create value from complex data? Data analytics, with its promise to efficiently discover valuable pattern by analyzing large amount of unstructured, heterogeneous, non-standard and incomplete healthcare data. It does not only forecast but also helps in decision making and is increasingly noticed as breakthrough in ongoing advancement with the goal is to improve the quality of patient care and reduces the healthcare cost. The aim of this study is to provide a comprehensive and structured overview of extensive research on the advancement of data analytics methods for disease prevention. This review first introduces disease prevention and its challenges followed by traditional prevention methodologies. We summarize state-of-the-art data analytics algorithms used for classification of disease, clustering (unusually high incidence of a particular disease), anomalies detection (detection of disease) and association as well as their respective advantages, drawbacks and guidelines for selection of specific model followed by discussion on recent development and successful application of disease prevention methods. The article concludes with open research challenges and recommendations. © 2019, Springer-Verlag London Ltd., part of Springer Nature.
- Authors: Razzak, Muhammad , Imran, Muhammad , Xu, Guandong
- Date: 2020
- Type: Text , Journal article
- Relation: Neural Computing and Applications Vol. 32, no. 9 (2020), p. 4417-4451
- Full Text:
- Reviewed:
- Description: Medical data is one of the most rewarding and yet most complicated data to analyze. How can healthcare providers use modern data analytics tools and technologies to analyze and create value from complex data? Data analytics, with its promise to efficiently discover valuable pattern by analyzing large amount of unstructured, heterogeneous, non-standard and incomplete healthcare data. It does not only forecast but also helps in decision making and is increasingly noticed as breakthrough in ongoing advancement with the goal is to improve the quality of patient care and reduces the healthcare cost. The aim of this study is to provide a comprehensive and structured overview of extensive research on the advancement of data analytics methods for disease prevention. This review first introduces disease prevention and its challenges followed by traditional prevention methodologies. We summarize state-of-the-art data analytics algorithms used for classification of disease, clustering (unusually high incidence of a particular disease), anomalies detection (detection of disease) and association as well as their respective advantages, drawbacks and guidelines for selection of specific model followed by discussion on recent development and successful application of disease prevention methods. The article concludes with open research challenges and recommendations. © 2019, Springer-Verlag London Ltd., part of Springer Nature.
- Wadud, Md Anwar, Amir-Ul-Haque Bhuiyan, T., Uddin, Md Ashraf, Rahman, Md Motiur
- Authors: Wadud, Md Anwar , Amir-Ul-Haque Bhuiyan, T. , Uddin, Md Ashraf , Rahman, Md Motiur
- Date: 2020
- Type: Text , Conference paper
- Relation: 11th International Conference on Electrical and Computer Engineering, ICECE 2020 p. 194-197
- Full Text: false
- Reviewed:
- Description: Recently, during the COVID-19 situation, the requirement and importance of tracking patients from a remote location have increased significantly. Most patients now prefer to obtain their doctor's care and check their health status through their mobile phone call, Skype, Facebook Messenger, or other online resources. There is, however, a major concern about the privacy of patients when using online resources. Patients usually choose to keep their information confidential, which should be only accessible to authorized individuals. The most current remote patient monitoring system is organization-centric and patient's privacy and security rely on healthcare providers' mercy. Blockchain technologies have attracted the attention of researchers for designing eHealth applications to provide patients with secure and privacy-preserving health services. Blockchain researchers have recently proposed some models for remote patient monitoring systems. However, most of those researchers have applied public blockchains where health data is available to all participants with the property of data tamper-proof. In this paper, we propose a novel remote patient monitoring model using a decentralized private blockchain to protect patient's privacy and increase the system's efficiency. The private blockchain will be implemented on Hyperledger Fabric where a Patient-centric Agents (PCA) manage patient's data and coordinate authorization to form a secure channel to transmit data to the private blockchain. A hybrid consensus by combining Proof of Integrity (PoI) and Proof of Validity (PoV) is used to protect data privacy and integrity when retrieving data from a blockchain-based cloud database. Finally, the Merkle Tree algorithm was used for data processing and authentication when collecting data and uploading it to a cloud database. © 2020 IEEE.
Equity in healthcare resource allocation decision making : a systematic review
- Lane, Haylee, Sarkies, Mitchell, Martin, Jennifer, Haines, Terry
- Authors: Lane, Haylee , Sarkies, Mitchell , Martin, Jennifer , Haines, Terry
- Date: 2017
- Type: Text , Journal article , Review
- Relation: Social Science and Medicine Vol. 175, no. (2017), p. 11-27
- Full Text: false
- Reviewed:
- Description: Objective To identify elements of endorsed definitions of equity in healthcare and classify domains of these definitions so that policy makers, managers, clinicians, and politicians can form an operational definition of equity that reflects the values and preferences of the society they serve. Design Systematic review where verbatim text describing explicit and implicit definitions of equity were extracted and subjected to a thematic analysis. Data sources The full holdings of the AMED, CINAHL plus, OVID Medline, Scopus, PsychInfo and ProQuest (ProQuest Health & Medical Complete, ProQuest Nursing and Allied Health Source, ProQuest Social Science Journals) were individually searched in April 2015. Eligibility criteria for selecting studies Studies were included if they provided an original, explicit or implicit definition of equity in regards to healthcare resource allocation decision making. Papers that only cited earlier definitions of equity and provided no new information or extensions to this definition were excluded. Results The search strategy yielded 74 papers appropriate for this review; 60 of these provided an explicit definition of equity, with a further 14 papers discussing implicit elements of equity that the authors endorsed in regards to healthcare resource allocation decision making. Five key themes emerged i) Equalisation across the health service supply/access/outcome chain, ii) Need or potential to benefit, iii) Groupings of equalisation, iv) Caveats to equalisation, and v) Close enough is good enough. Conclusions There is great inconsistency in definitions of equity endorsed by different authors. Operational definitions of equity need to be more explicit in addressing these five thematic areas before they can be directly applied to healthcare resource allocation decisions. © 2016 Elsevier Ltd
A systematic review of Lean in healthcare : a global prospective
- Antony, Jiju, Sunder, Vijaya, Sreedharan, Raja, Chakraborty, Ayon, Gunasekaran, Angappa
- Authors: Antony, Jiju , Sunder, Vijaya , Sreedharan, Raja , Chakraborty, Ayon , Gunasekaran, Angappa
- Date: 2019
- Type: Text , Journal article , Review
- Relation: International Journal of Quality and Reliability Management Vol. 36, no. 8 (2019), p. 1370-1391
- Full Text:
- Reviewed:
- Description: Purpose: Fostered by a rapid spread beyond the manufacturing sector, Lean philosophy for continuous improvement has been widely used in service organizations, primarily in the healthcare sector. However, there is a limited research on the motivating factors, challenges and benefits of implementing Lean in healthcare. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors, limitations or challenges of Lean deployment, benefits of Lean in healthcare and key gaps in the literature as an agenda for future research. Design/methodology/approach: The authors used the secondary data from the literature (peer-reviewed journal articles) published between 2000 and 2016 to understand the state of the art. The systematic review identified 101 articles across 88 journals recognized by the Association of Business Schools ranking guide 2015. Findings: The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for Lean in healthcare. A bouquet of motivating factors, challenges/limitations and benefits of Lean in healthcare are presented. Practical implications: The implications of this work include directions for managers and healthcare professionals in healthcare organizations to embark on a focused Lean journey aligned with the strategic objectives. This work could serve as a valuable resource to both practitioners and researchers for learning, investigating and rightly adapting the Lean in the healthcare sector. Originality/value: This study is perhaps one of the comprehensive systematic literature reviews covering an important agenda of Lean in Healthcare. All the text, figures and tables featured here are original work carried by five authors in collaboration (from three countries, namely, India, the USA and the UK). © 2019, Emerald Publishing Limited.
- Authors: Antony, Jiju , Sunder, Vijaya , Sreedharan, Raja , Chakraborty, Ayon , Gunasekaran, Angappa
- Date: 2019
- Type: Text , Journal article , Review
- Relation: International Journal of Quality and Reliability Management Vol. 36, no. 8 (2019), p. 1370-1391
- Full Text:
- Reviewed:
- Description: Purpose: Fostered by a rapid spread beyond the manufacturing sector, Lean philosophy for continuous improvement has been widely used in service organizations, primarily in the healthcare sector. However, there is a limited research on the motivating factors, challenges and benefits of implementing Lean in healthcare. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors, limitations or challenges of Lean deployment, benefits of Lean in healthcare and key gaps in the literature as an agenda for future research. Design/methodology/approach: The authors used the secondary data from the literature (peer-reviewed journal articles) published between 2000 and 2016 to understand the state of the art. The systematic review identified 101 articles across 88 journals recognized by the Association of Business Schools ranking guide 2015. Findings: The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for Lean in healthcare. A bouquet of motivating factors, challenges/limitations and benefits of Lean in healthcare are presented. Practical implications: The implications of this work include directions for managers and healthcare professionals in healthcare organizations to embark on a focused Lean journey aligned with the strategic objectives. This work could serve as a valuable resource to both practitioners and researchers for learning, investigating and rightly adapting the Lean in the healthcare sector. Originality/value: This study is perhaps one of the comprehensive systematic literature reviews covering an important agenda of Lean in Healthcare. All the text, figures and tables featured here are original work carried by five authors in collaboration (from three countries, namely, India, the USA and the UK). © 2019, Emerald Publishing Limited.