How lived experience mediated my gold, ribbons, puzzles and morals research motivations : a reflective introspection
- Authors: Stranieri, Andrew
- Date: 2024
- Type: Text , Book chapter
- Relation: Research partners with lived experience : stories from patients and survivors Chapter 15 p. 183-191
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- Description: Studies on factors that motivate researchers conclude that financial rewards, recognition, curiosity and a desire to contribute; the so-called, Gold, Ribbons, Puzzle and Morals motivating factors, combine to explain why individuals start and continue to be researchers. Lived experience with significant, often life-changing events as a patient, carer, victim, or bystander has motivated many, directly or indirectly, including me, to become researchers. In this chapter, I draw on introspection to examine my journey through 25 years of research experience in university settings. I use concepts from dual systems theories that identify intuition and cognition as two processes that come together to explain how key events and situations in life have influenced my decisions. This illustrates how critical events have mediated the Gold, Ribbon, Puzzle and Morals factors that were motivating my research efforts.
Research partners with lived experience : stories from patients and survivors
- Authors: Stranieri, Andrew , Meredith, Grant , Firmin, Sally
- Date: 2024
- Type: Text , Book
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- Description: This book aims to foster collaborations between patients who have intense lived experience with a medical condition or family violence and researchers investigating them. Inviting patients or survivors into the research team is found to have significant advantages, and chapters review the literature on the benefits they can bring to investigative research teams. The collaboration can take place at multiple stages of research from helping to research design, participating in co-investigators, contributing to the interpretation of results, etc. The conditions addressed in this book include medical conditions from anxiety, postural orthostatic tachycardia syndrome, lupus, asthma, chronic kidney disease, etc. The authors are higher degree students, academics, and active research team members who share their experiences. This is be instrumental in helping patients and survivors decide whether to transition to research. It will also support research team leaders in determining how to benefit from the new perspectives researchers with lived experience bring. The personal narratives provide insight into the challenges and rewards of having lived experience while conducting research.
A case for causal loop diagrams to model electronic health records ecosystems
- Authors: Hashmi, Mustafa , McInnes, Angelique , Sahama, Tony , Stranieri, Andrew
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 Australasian Computer Science Week, ACSW 2023, Melbourne, Australia, 31 January-3 February 2023, ACSW '23: Proceedings of the 2023 Australasian Computer Science Week p. 238-239
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- Description: Causal loop diagrams (CLD) that emerged from systems thinking disciplines have been used to simulate complex inter-dependencies between causal factors in diverse phenomena. This paper highlights a process for generating a casual loop diagrams to represent the quality of electronic health record (EHR) ecosystem in a medical context. The quality inherent in the use of electronic health records for specific clinical purposes is taken to depend on factors including data integrity, reliability, relevance, timeliness and completeness. By improving the electronic health record ecosystem quality, health care providers can enhance their data sharing practices, and personalised patient care, while reducing the probabilities of medical errors. Ultimately the CLD can be used to run multiple simulations for several clinical case scenarios to understand the impact of various case phenomena on the quality of the electronic health record ecosystem. © 2023 ACM.
A study into the impact of data breaches of electronic health records
- Authors: Pilla, Ravi , Oseni, Taiwo , Stranieri, Andrew
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 Australasian Computer Science Week, ACSW 2023, Melbourne Australia, 31 January-3 February 2023, ACSW '23: Proceedings of the 2023 Australasian Computer Science Week p. 252-254
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- Description: The research study deals with electronic health records (EHRs) data breaches, their impact., Electronic health records play an important role in digital healthcare services. However, confidentiality and integrity of sensitive EHRs are critical to ensure patient privacy. Although the existing traditional cybersecurity practices provide some protection, they cannot prevent EHRs data breaches. Therefore, this research's primary focus will be critically reviewing the impact of data breaches and current cybersecurity practices. Finally, the paper's key findings highlight the type of cyberattacks and options to reduce them. © 2023 ACM.
Clinically prioritized data visualization in remote patient monitoring
- Authors: Arora, Teena , Balasubramanian, Venki , Stranieri, Andrew , Neupane, Arun
- Date: 2023
- Type: Text , Conference paper
- Relation: 19th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2023, Montreal, Canada, 21-23 June 2023, International Conference on Wireless and Mobile Computing, Networking and Communications Vol. 2023-June, p. 5-12
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- Description: Understanding and integrating physiological data collected from wearable sensors in remote patient monitoring (RPM) is challenging. Data streams may be interrupted due to the sensor's sensitivity, movement, and electromagnetic interference leading to inconsistent, missing, and inaccurate data. Existing approaches to summarize data flows into a single score such as the traditional Modified early warning score (MEWS) is limited. Data visualization approaches have the potential to address this challenge, but few studies have focused on visualization of RPM streams. The study presents a transformation of observed raw RPM physiological data into parameters identified as trust, frequency, slope, and trend. This facilitated visualization and enabled automated assessments of prioritized alerts. Experimental results have shown that the transformations led to the prioritization of clinically significant conditions, and improved visualization has the potential to better support clinical decisions compared with traditional MEWS. © 2023 IEEE.
A process-oriented framework for regulating artificial intelligence systems
- Authors: Stranieri, Andrew , Sun, Zhaohao
- Date: 2022
- Type: Text , Book chapter
- Relation: Handbook of Research on Foundations and Applications of Intelligent Business Analytics p. 96-112
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- Description: Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students. Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.
Deep reinforcement-based conversational ai agent in healthcare system
- Authors: Kulkarni, Pradnya , Stranieri, Andrew , Mahableshwarkar, Ameya , Kulkarni, Mrunalini
- Date: 2022
- Type: Text , Book chapter
- Relation: Studies in Computational Intelligence p. 233-249
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- Description: Conversational AI is a sub-domain of artificial intelligence that deals with speech-based or text-based AI agents that have the capability to simulate and automate conversations and verbal interactions. A Goal Oriented Conversational Agent (GOCA) is a conversational AI agent that attempts to solve a specific problem for the users as per their inputs. The development of Reinforcement Learning algorithms has opened up new opportunities in research related to conversational AI, due to the striking similarity the algorithm bears to the way a conversation takes place. This chapter aims to describe a novel, hybrid conversational AI architecture using Deep Reinforcement Learning that can give state-of-the-art results on the tasks of Intent Classification, Entity Recognition, Dialog Management, State Tracking, Information Retrieval and Natural Language Response Generation. The architecture also consists of external AI modules, focused on carrying out intelligent tasks pertaining to the healthcare sector. The AI tasks that the conversational agent is capable of performing are—Text-based Question Answering, Text Summarization and Visual Question Answering. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Remote patient monitoring for healthcare : a big challenge for big data
- Authors: Stranieri, Andrew , Balasubramanian, Venki
- Date: 2022
- Type: Text , Book chapter
- Relation: Research Anthology on Big Data Analytics, Architectures, and Applications Chapter 50 p. 1054-1070
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- Description: Remote patient monitoring involves the collection of data from wearable sensors that typically requires analysis in real time. The real-time analysis of data streaming continuously to a server challenges data mining algorithms that have mostly been developed for static data residing in central repositories. Remote patient monitoring also generates huge data sets that present storage and management problems. Although virtual records of every health event throughout an individual’s lifespan known as the electronic health record are rapidly emerging, few electronic records accommodate data from continuous remote patient monitoring. These factors combine to make data analytics with continuous patient data very challenging. In this chapter, benefits for data analytics inherent in the use of standards for clinical concepts for remote patient monitoring is presented. The openEHR standard that describes the way in which concepts are used in clinical practice is well suited to be adopted as the standard required to record meta-data about remote monitoring. The claim is advanced that this is likely to facilitate meaningful real time analyses with big remote patient monitoring data. The point is made by drawing on a case study involving the transmission of patient vital sign data collected from wearable sensors in an Indian hospital. © 2022 by IGI Global. All rights reserved.
A secured real-time IoMT application for monitoring isolated COVID-19 patients using edge computing
- Authors: Balasubramanian, Venki , Sulthana, Rehena , Stranieri, Andrew , Manoharan, G. , Arora, Teena , Srinivasan, Ram , Mahalakshmi, K. , Menon, Varun
- Date: 2021
- Type: Text , Conference paper
- Relation: 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2021, Shenyang, China, 20-22 October 2021, Proceedings - 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2021 p. 1227-1234
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- Description: Internet of Medical Things (IoMT) is an emerging technology whose capabilities to self-organize itself on-the-fly, to monitor the patient's vital health data without any manual entry and assist early human intervention gave birth to smart healthcare applications. The smart applications can be used to remotely monitor isolated patients during this COVID-19 pandemic. Remote patient monitoring provides an opportunity for COVID-19 patients to have vital signs and other indicators recorded regularly and inexpensively to provide rapid and early warning of conditions that require medical attention using secured edge and cloud computing. However, to gain the confidence of the users over these applications, the performance of healthcare applications should be evaluated in real-time. Our real-time implementation of IoMT based remote monitoring application using edge and cloud computing, along with empirical evaluation, show that COVID-19 patients can be monitored effectively not only with mobility but also helps the health care professionals to generate consolidated health data of the patient that can guide them to obtain medical attention. © 2021 IEEE.
An Exploratory Study on the Employers' Perceptions of ICT Graduate work-readiness
- Authors: Faisal, Nadia , Chadhar, Mehmood , Goriss-Hunter, Anitra , Stranieri, Andrew
- Date: 2021
- Type: Conference paper
- Relation: Pacific Asia Conference on Information Systems (PACIS 2021) 12th to 14th July 2021
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- Description: Drawing on information gathered from scoping interviews with graduate recruiters and industry experts in Australia, this study extends our understanding of how employers, rather than researchers, describe the desired work-ready skills for graduate/entry level roles in the Australian information and communication technology (ICT) industry. Contrary to the developing literature on work-readiness, the findings showed that the skills which contribute to work-readiness should not be limited to field-specific knowledge, skills and cognitive skills, but that they should be extended to include affective skills or personal attributes and behaviors, such as selfefficacy, willingness to learn, disposition, tolerance and integrity. Results have practical implications for developing academic programs aimed at enhancing cognitive and affective skills among IT graduates for employment potential and successful transition into work.
Non-invasive smartphone use monitoring to assess cognitive impairment
- Authors: Thang, Nguyen , Oatley, Giles , Stranieri, Andrew , Walker, Darren
- Date: 2021
- Type: Text , Conference paper
- Relation: 13th International Conference on Computer and Automation Engineering, ICCAE 2021 p. 64-67
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- Description: Background: There are many tests for the early detection of Mild Cognitive Impairment (MCI) to prevent or delay the development of dementia, particularly amongst the elderly. However, many tests are complex and are required to be performed repeatedly. Cognitive assessment apps for a smartphone have emerged, but like other tests, they require the user to perform complex tasks like drawing time on a clock. Few studies have explored non-invasive ways of tracking and assessing MCI without having the user perform specific tests. Objective: This research ultimately aims to develop an app that runs in the background and collects smartphone usage data that correlates well with MCI test results. The focus of this preliminary study was to develop an app that collects usage data and common MCI questionnaires to see if usage data between people varied, and to establish associations between phone usage and cognitive tests results. Method: An android application was developed to gather data over three weeks by three volunteers (authors). Usage data collected included: SMS and call log, accelerometer, location, app usage, self-report. Cognitive tests implemented were Stroop, Go/No Go tests and absent-mindedness questionnaires. Due to the small sample size and Covid-19 restrictions (October 2020), location data was not reliable. SMS text was not collected for privacy reasons. Results: App categories can differentiate people, but the app usage cannot be used to distinguish people. © 2021 IEEE.
On the value of social media in health care
- Authors: Ukoha, Chukwuma , Stranieri, Andrew
- Date: 2021
- Type: Text , Journal article
- Relation: Journal of technology in behavioral science Vol. 6, no. 2 (2021), p. 419-426
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- Description: The advent and diffusion of modern technologies have triggered the widespread adoption of social media by hospitals and medical clinics. Despite the increasing use of social media, its use cases in health care settings and the value proposition of each use case are yet to be explicated. To address this issue, this qualitative study explores the value of social media in health care. Relevant data were collected through semi-structured interviews with participants at 11 Australian hospitals and medical clinics. Common themes expressed by participants were identified through a thematic analysis of the transcripts. The findings revealed nine use cases of social media in health care: engaging in professional networking, harnessing patient feedback, promoting public health, educating professionals, educating patients, engaging with the public, crowdsourcing, conducting research, and patient collaboration. Furthermore, this study found that hospitals and medical clinics are not passive users of social media; rather, they make conscious decisions regarding whether, when, and how to use social media. Although social media can likely support various activities in health care settings, its value proposition for hospitals and medical clinics varies depending on the use case. Understanding such use cases and the value proposition in each use case will help more hospitals and medical clinics to incorporate social media strategically.
Rethinking IS Graduates Work-readiness: Employers' perspectives
- Authors: Faisal, Nadia , Chadhar, Mehmood , Goriss-Hunter, Anitra , Stranieri, Andrew
- Date: 2021
- Type: Text , Conference paper
- Relation: 27th Annual Americas Conference on Information Systems (AMCIS)
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- Description: Being a significant stakeholder in the graduates' employment outcomes, it is vital to understand employers' perceptions of graduates' work-readiness. However, existing information systems (IS) literature focuses mainly on the perceptions of students or universities. This paper aims to fill this gap by analysing scoping interviews conducted with graduate recruiters and industry experts in Australia regarding attributes that can improve graduates' employment prospects in the information and communication technology industry. A preliminary investigation based on grounded theory identified three emergent themes from the data: behaviors, skills, and knowledge levels. Based on the findings, this study proposes an IS graduate work-readiness framework that can help universities to develop academic programs aimed at enhancing desirable skills and attitudes among IS graduates' employment.
The design of a smartbrush oral health installation for aged care centres in Australia
- Authors: Grzegorz Broda, Lukasz , Oseni, Taiwo , Stranieri, Andrew , Marino, Rodrigo , Robinson, Jodie , Yates, Mark
- Date: 2021
- Type: Text , Conference paper
- Relation: 5th International Conference on Medical and Health Informatics, ICMHI 2021 p. 176-180, virtual online, 14-16 May 2021, ICMHI '21: Proceedings of the 5th International Conference on Medical and Health Informatics
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- Description: The oral health of residents in aged care centres in Australia is poor, contributing to infections, hospital admissions, and increased suffering. Although the use of electric toothbrushes has been deployed in many centres, smartbrushes that record and transmit information about brushing patterns and duration are not routinely deployed. Yet, the use of smartbrushes for aged care residents promises better oral care. Thus, a study aimed at investigating the appropriateness and suitability of a smartbrush for aged care residents is currently underway. Due to the peculiarity of the aged care setting, the incorporation of smartbrushes into residents' care does require careful planning and design considerations. This paper describes an initial design process undertaken through the use of an actor to understand the important elements to be incorporated whilst installing a smartbrush for use in aged care settings. The design covers configuration settings of the brush and app, including ergonomic factors related to brush and smartphone placement. A design science approach led to an installation re-design and a revised protocol for the planned study, the ultimate aim being to design installations to enhance perceived usefulness, ease of use, and attitudes towards the incorporation of smartbrushes for improving oral health care for aged care residents. © 2021 ACM.
Understanding the gap between academics and game developers : an analysis of gamasutra blogs
- Authors: Greenwood, Jordan , Achterbosch, Leigh , Stranieri, Andrew , Meredith, Grang
- Date: 2021
- Type: Conference paper
- Relation: 15th International Conference on Interfaces and Human Computer Interaction, IHCI 2021 and 14th International Conference on Game and Entertainment Technologies, GET 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021 p. 141-148
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- Description: Communication between industry and academia in the fields of game development to date has been limited to the detriment of both groups. This lack of communication is more commonly known as the academia-industry divide. Blogs have been advanced as a good medium to reduce the divide because they allow academics to practice presenting their knowledge to different audiences and allows them to get suggestions and feedback from game developers. This study analyzed all blogs posted by members of Gamasutra.com in a 13-month span between March 2020 and April 2021. Forty-four of the 767 blogs were found to be referencing academic sources. Using Walton and Krabbe’s dialogue types, we discovered how academia was trying to communicate their knowledge relevant to game development and report on the extent to which academia had tried to influence game design and development. Results showed that the divide is real and that access to research information for the public is still quite difficult. The results also illustrate that academia only have had a small influence on the gaming industry and that only a small amount of gaming researchers were communicating their theories of game development. © MCCSIS 2021.All right reserved.
Dynamically recommending repositories for health data : a machine learning model
- Authors: Uddin, Md Ashraf , Stranieri, Andrew , Gondal, Iqbal , Balasubramanian, Venki
- Date: 2020
- Type: Text , Conference proceedings
- Relation: 2020 Australasian Computer Science Week Multiconference, ACSW 2020
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- Description: Recently, a wide range of digital health record repositories has emerged. These include Electronic Health record managed by the government, Electronic Medical Record (EMR) managed by healthcare providers, Personal Health Record (PHR) managed directly by the patient and new Blockchain-based systems mainly managed by technologies. Health record repositories differ from one another on the level of security, privacy, and quality of services (QoS) they provide. Health data stored in these repositories also varies from patient to patient in sensitivity, and significance depending on medical, personal preference, and other factors. Decisions regarding which digital record repository is most appropriate for the storage of each data item at every point in time are complex and nuanced. The challenges are exacerbated with health data continuously streamed from wearable sensors. In this paper, we propose 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 model maps health data to be stored in the repositories. The mapping between health data features and characteristics of each repository is learned using a machine learning-based classifier mediated through clinical rules. Evaluation results demonstrate the model's feasibility. © 2020 ACM.
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Gestalt based evaluation of health information diagrams
- Authors: Sharma, Vishakha , Stranieri, Andrew , Burstein, Frada , Warren, Jim , Firmin, Sally
- Date: 2020
- Type: Text , Conference paper
- Relation: 24th International Conference Information Visualisation, IV 2020 Vol. 2020-September, p. 195-201
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- Description: Diagrams for four different health care settings have been proposed: Snapshot Diagram, Diagnosis Diagram, Strength of Evidence Diagram and Patient Pathway Diagram The availability of large amount of digital health care data and potential to utilize its benefits led to the development of these diagrams. This paper presents an analysis of the diagrams based on the selection of a subset of Gestalt principles deemed relevant for each diagram. Although Gestalt and human-computer interaction principles are advanced to apply to all diagrams or user interfaces, in practice a sub-set of principles must be selected to evaluate a diagram or interface The selection of a subset of principles to use on a diagram has not been widely studied. This paper presents an approach for identifying a subset of relevant Gestalt principles tailored for each of the four diagrams advanced for health care settings. © 2020 IEEE.
The delicate balance of communicational interests : a Bakhtinian view of social media in health care
- Authors: Ukoha, Chukwuma , Stranieri, Andrew
- Date: 2020
- Type: Text , Journal article
- Relation: Journal of Information, Communication and Ethics in Society Vol. 19, no. 2 (2020), p. 236-248
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- Description: Purpose: This paper aims to use the writings of Mikhail Bakhtin to reveal new insights into the role and impact of social media in health-care settings. Design/methodology/approach: With the help of Bakhtin’s constructs of dialogism, polyphony, heteroglossia and carnival, the power and influences of the social media phenomenon in health-care settings, are explored. Findings: It is apparent from the in-depth analysis conducted that there is a delicate balance between the need to increase dialogue and the need to safeguard public health, in the use of social media for health-related communication. Bakhtin‘s constructs elucidate this delicate balance and highlight the need for health-care providers that use social media to find the right balance between these competing communicational priorities. Originality/value: This paper advances a nascent theoretical approach to social media research. By applying Bakhtinian ideas to consumer health informatics, this paper has the potential to open a new approach to theorizing the role of social software in health-care settings. Stakeholders in digital health will find this paper useful, as it opens up dialogue to further discuss the role of social media in health care. © 2020, Emerald Publishing Limited.
Towards smart online dispute resolution for medical disputes
- Authors: Bellucci, Emilia , Stranieri, Andrew , Venkatraman, Sitalakshmi
- Date: 2020
- Type: Text , Conference proceedings , Conference paper
- Relation: Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2020); Melbourne, Australia; 3rd-7th February 2020. p. 1-5
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- Description: With the advancements in technologies, digitization of health records in the healthcare industry is undertaking a rapid revolution. This is further fueled with the entrance of Internet of Things (IoT), where mobile health devices have resulted in an explosion of health data and increased accessibility via wireless communications and sensor networks. With the introduction of an Electronic Health Record (EHR) system as an important venture for the general health and wellbeing of a country's citizens, privacy issues and medical disputes are expected to rise. In addition to critical health information being documented and shared electronically, integrating data from diverse smart medical IoT devices are leading towards increasingly more complex disputes that require immense time and effort to resolve. Online dispute resolution (ODR) programs have been successfully applied to cost-effectively help disputants resolve commercial, insurance and other legal disputes, but as yet have not been applied to healthcare. This paper takes a modest step in this direction, firstly to identify the drivers of medical disputes that include patient empowerment and technology advancements and trends. Secondly, we explore dispute resolution models and identify the status and limitations of current ODR systems.
- Description: This work was funded by the University of Ballarat Deakin University Collaborative Fund. 160134
A Decentralized Patient Agent Controlled Blockchain for Remote Patient Monitoring
- Authors: Uddin, Ashraf , Stranieri, Andrew , Gondal, Iqbal , Balasubramanian, Venki
- Date: 2019
- Type: Text , Conference proceedings
- Relation: 15th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2019 Vol. 2019-October, p. 207-214
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- Description: Blockchain emerging for healthcare provides a secure, decentralized and patient driven record management system. However, the storage of data generated from IoT devices in remote patient management applications requires a fast consensus mechanism. In this paper, we propose a lightweight consensus mechanism and a decentralized patient software agent to control a remote patient monitoring (RPM) system. The decentralized RPM architecture includes devices at three levels; 1) Body Area Sensor Network-medical sensors typically on or in patient's body transmitting data to a Smartphone, 2) Fog/Edge, and 3) Cloud. We propose that a Patient Agent(PA) software replicated on the Smartphone, Fog and Cloud servers processes medical data to ensure reliable, secure and private communication. Performance analysis has been conducted to demonstrate the feasibility of the proposed Blockchain leveraged, distributed Patient Agent controlled remote patient monitoring system. © 2019 IEEE.
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