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
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- 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.
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
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- 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
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- 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
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- 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
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- 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
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
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- 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:
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- 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.
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:
- 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.
- 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.
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
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- 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.
Navigating interoperability in disaster management : insights of current trends and challenges in Saudi Arabia
- Mani, Zakaria, Sultan, Mohammed, Plummer, Virginia, Goniewicz, Krzysztof
- Authors: Mani, Zakaria , Sultan, Mohammed , Plummer, Virginia , Goniewicz, Krzysztof
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Disaster Risk Science Vol. 14, no. 6 (2023), p. 873-885
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- Description: In this rapid review, we critically scrutinize the disaster management infrastructure in Saudi Arabia, illuminating pivotal issues of interoperability, global cooperation, established procedures, community readiness, and the integration of cutting-edge technologies. Our exploration uncovers a significant convergence with international benchmarks, while pinpointing areas primed for enhancement. We recognize that continual commitments to infrastructural progression and technology adoption are indispensable. Moreover, we underscore the value of robust community involvement and cross-border collaborations as key factors in bolstering disaster response capabilities. Importantly, we spotlight the transformative influence of emerging technologies, such as artificial intelligence and the Internet of Things, in elevating the effectiveness of disaster management strategies. Our review champions in all-encompassing approach to disaster management, which entails harnessing innovative technologies, nurturing resilient communities, and promoting comprehensive disaster management strategies, encapsulating planning, preparedness, response, and recovery. As a result of our analysis, we provide actionable recommendations to advance Saudi Arabia’s disaster management framework. Our insights are timely and crucial, considering the escalating global focus on disaster response in the face of increasing disaster and humanitarian events. © 2023, The Author(s).
- Authors: Mani, Zakaria , Sultan, Mohammed , Plummer, Virginia , Goniewicz, Krzysztof
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Disaster Risk Science Vol. 14, no. 6 (2023), p. 873-885
- Full Text:
- Reviewed:
- Description: In this rapid review, we critically scrutinize the disaster management infrastructure in Saudi Arabia, illuminating pivotal issues of interoperability, global cooperation, established procedures, community readiness, and the integration of cutting-edge technologies. Our exploration uncovers a significant convergence with international benchmarks, while pinpointing areas primed for enhancement. We recognize that continual commitments to infrastructural progression and technology adoption are indispensable. Moreover, we underscore the value of robust community involvement and cross-border collaborations as key factors in bolstering disaster response capabilities. Importantly, we spotlight the transformative influence of emerging technologies, such as artificial intelligence and the Internet of Things, in elevating the effectiveness of disaster management strategies. Our review champions in all-encompassing approach to disaster management, which entails harnessing innovative technologies, nurturing resilient communities, and promoting comprehensive disaster management strategies, encapsulating planning, preparedness, response, and recovery. As a result of our analysis, we provide actionable recommendations to advance Saudi Arabia’s disaster management framework. Our insights are timely and crucial, considering the escalating global focus on disaster response in the face of increasing disaster and humanitarian events. © 2023, The Author(s).
Totally devoted to you : a qualitative study examining the experiences of sacrifice among pharmacists in rural and regional areas
- Terry, Daniel, Peck, Blake, Phan, Hoang
- Authors: Terry, Daniel , Peck, Blake , Phan, Hoang
- Date: 2023
- Type: Text , Journal article
- Relation: Research in Social and Administrative Pharmacy Vol. 19, no. 5 (2023), p. 793-799
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- Reviewed:
- Description: Background: The health of rural and regional communities is routinely identified as poor and access to healthcare services is often limited. Rural and regional pharmacists are well placed to deliver a variety of high-quality services to their community, however there is a limited examination of the complexities of their role in rural contexts. This study seeks to examine the types of personal sacrifices and what impact these may have among pharmacists working in rural and regional communities of Australia. Method: A qualitative approach was adopted to examine the experiences of pharmacists working in public health service and private community pharmacies across 13 rural communities in Australia. Purposive sampling was used to recruit pharmacists as part of a larger study examining the efficacy of a workforce recruitment tool (PharmCAQ). As part of the development of the tool, a one-on-one interview were conducted. Results: A total of 20 participants were recruited. Two major themes emerged: Above all the community and More than just a script monkey that embodies the experiences of pharmacists. Centred around self-sacrifice, the first theme captures the tension that is experienced by these professionals as they tread an unsustainable path for the benefit of the community. The second theme provides some insights into the complex nature of the rural and regional context that is juxtaposed with that of their urban counterparts. Conclusion: Pharmacist in rural and regional areas offer a highly skilled and accessible resource to better address the growing needs of those living in rural and regional areas. Despite the opportunities that exist to expand the role of pharmacists in these areas and to capitalise on their expertise, there is a growing need to find ever better ways to support those who support others. © 2023
- Authors: Terry, Daniel , Peck, Blake , Phan, Hoang
- Date: 2023
- Type: Text , Journal article
- Relation: Research in Social and Administrative Pharmacy Vol. 19, no. 5 (2023), p. 793-799
- Full Text:
- Reviewed:
- Description: Background: The health of rural and regional communities is routinely identified as poor and access to healthcare services is often limited. Rural and regional pharmacists are well placed to deliver a variety of high-quality services to their community, however there is a limited examination of the complexities of their role in rural contexts. This study seeks to examine the types of personal sacrifices and what impact these may have among pharmacists working in rural and regional communities of Australia. Method: A qualitative approach was adopted to examine the experiences of pharmacists working in public health service and private community pharmacies across 13 rural communities in Australia. Purposive sampling was used to recruit pharmacists as part of a larger study examining the efficacy of a workforce recruitment tool (PharmCAQ). As part of the development of the tool, a one-on-one interview were conducted. Results: A total of 20 participants were recruited. Two major themes emerged: Above all the community and More than just a script monkey that embodies the experiences of pharmacists. Centred around self-sacrifice, the first theme captures the tension that is experienced by these professionals as they tread an unsustainable path for the benefit of the community. The second theme provides some insights into the complex nature of the rural and regional context that is juxtaposed with that of their urban counterparts. Conclusion: Pharmacist in rural and regional areas offer a highly skilled and accessible resource to better address the growing needs of those living in rural and regional areas. Despite the opportunities that exist to expand the role of pharmacists in these areas and to capitalise on their expertise, there is a growing need to find ever better ways to support those who support others. © 2023
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