Application of Personal Health Data Recording System Using Optical Card to Health Care of University Staff

BACKGROUND The recent surge in clinical and nonclinical health-related data has been accompanied by a concomitant increase in personal health data (PHD) research across multiple disciplines such as medicine, computer science, and management. There is now a need to synthesize the dynamic knowledge of PHD in various disciplines to spot potential research hotspots. OBJECTIVE The aim of this study was to reveal the knowledge evolutionary trends in PHD and detect potential research hotspots using bibliometric analysis. METHODS We collected 8281 articles published between 2009 and 2018 from the Web of Science database. The knowledge evolution analysis (KEA) framework was used to analyze the evolution of PHD research. The KEA framework is a bibliometric approach that is based on 3 knowledge networks: reference co-citation, keyword co-occurrence, and discipline co-occurrence. RESULTS The findings show that the focus of PHD research has evolved from medicine centric to technology centric to human centric since 2009. The most active PHD knowledge cluster is developing knowledge resources and allocating scarce resources. The field of computer science, especially the topic of artificial intelligence (AI), has been the focal point of recent empirical studies on PHD. Topics related to psychology and human factors (eg, attitude, satisfaction, education) are also receiving more attention. CONCLUSIONS Our analysis shows that PHD research has the potential to provide value-based health care in the future. All stakeholders should be educated about AI technology to promote value generation through PHD. Moreover, technology developers and health care institutions should consider human factors to facilitate the effective adoption of PHD-related technology. These findings indicate opportunities for interdisciplinary cooperation in several PHD research areas: (1) AI applications for PHD; (2) regulatory issues and governance of PHD; (3) education of all stakeholders about AI technology; and (4) value-based health care including “allocative value,” “technology value,” and “personalized value.”

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Privacy and Security: Are Your Health Information Systems up to Standard?

Health Information Management ◽

10.1177/183335839702600409 ◽

1996 ◽

Vol 26 (4) ◽

pp. 197-201 ◽

Cited By ~ 1

Author(s):

Tina Magennis ◽

Jennifer Mitchell

Keyword(s):

Health Care ◽

Information Systems ◽

Health Information ◽

Health Information Systems ◽

Health Data ◽

Human Behaviour ◽

Personal Health ◽

Privacy And Security ◽

Patient Health ◽

Privacy And Confidentiality

As electronic patient health information systems become more fully developed and widespread, there are persistent concerns about the privacy and confidentiality of the personal health data being stored and disseminated. Standards Australia has released two Standards which provide useful guidelines for the organisational, technological and human behaviour solutions required to protect privacy and confidentiality in health care organisations. The major requirements of these Standards are outlined and the implications of the Standards for health information managers are discussed.

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Managing Privacy and Effectiveness of Patient-Administered Authorization Policies

International Journal of Computational Models and Algorithms in Medicine ◽

10.4018/jcmam.2012040103 ◽

2012 ◽

Vol 3 (2) ◽

pp. 43-62

Author(s):

Thomas Trojer ◽

Basel Katt ◽

Ruth Breu ◽

Thomas Schabetsberger ◽

Richard Mair

Keyword(s):

Health Care ◽

Information System ◽

Access Control ◽

Data Privacy ◽

Evaluation Criteria ◽

Control Policy ◽

Health Data ◽

Personal Health ◽

Access Control Policy ◽

Authorization Policies

A central building block of data privacy is the individual right of information self-determination. Following from that when dealing with shared electronic health records (SEHR), citizens, as the identified individuals of such records, have to be enabled to decide what medical data can be used in which way by medical professionals. In this context individual preferences of privacy have to be reflected by authorization policies to control access to personal health data. There are two potential challenges when enabling patient-controlled access control policy authoring: First, an ordinary citizen neither can be considered a security expert, nor does she or he have the expertise to fully understand typical activities and workflows within the health-care domain. Thus, a citizen is not necessarily aware of implications her or his access control settings have with regards to the protection of personal health data. Both privacy of citizen’s health-data and the overall effectiveness of a health-care information system are at risk if inadequate access control settings are in place. This paper refers to scenarios of a case study previously conducted and shows how privacy and information system effectiveness can be defined and evaluated in the context of SEHR. The paper describes an access control policy analysis method which evaluates a patient-administered access control policy by considering the mentioned evaluation criteria.

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Consumers’ Intentions to Adopt Blockchain-Based Personal Health Records and Data Sharing: Focus Group Study (Preprint)

10.2196/preprints.21995 ◽

2020 ◽

Author(s):

Chang Lu ◽

Danielle Batista ◽

Hoda Hamouda ◽

Victoria Lemieux

Keyword(s):

Health Care ◽

Focus Group ◽

Data Sharing ◽

Health Data ◽

Personal Health Records ◽

Third Party ◽

Personal Health ◽

Health Records ◽

The Third ◽

The Third Party

BACKGROUND Although researchers are giving increased attention to blockchain-based personal health records (PHRs) and data sharing, the majority of research focuses on technical design. Very little is known about health care consumers’ intentions to adopt the applications. OBJECTIVE This study aims to explore the intentions and concerns of health care consumers regarding the adoption of blockchain-based personal health records and data sharing. METHODS Three focus groups were conducted, in which 26 participants were shown a prototype of a user interface for a self-sovereign blockchain-based PHR system (ie, a system in which the individual owns, has custody of, and controls access to their personal health information) to be used for privacy and secure health data sharing. A microinterlocutor analysis of focus group transcriptions was performed to show a descriptive overview of participant responses. NVivo 12.0 was used to code the categories of the responses. RESULTS Participants did not exhibit a substantial increase in their willingness to become owners of health data and share the data with third parties after the blockchain solution was introduced. Participants were concerned about the risks of losing private keys, the resulting difficulty in accessing care, and the irrevocability of data access on blockchain. They did, however, favor a blockchain-based PHR that incorporates a private key recovery system and offers a health wallet hosted by government or other positively perceived organizations. They were more inclined to share data via blockchain if the third party used the data for collective good and offered participants nonmonetary forms of compensation and if the access could be revoked from the third party. CONCLUSIONS Health care consumers were not strongly inclined to adopt blockchain-based PHRs and health data sharing. However, their intentions may increase when the concerns and recommendations demonstrated in this study are considered in application design.

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Consumers’ Intentions to Adopt Blockchain-Based Personal Health Records and Data Sharing: Focus Group Study

JMIR Formative Research ◽

10.2196/21995 ◽

2020 ◽

Vol 4 (11) ◽

pp. e21995

Author(s):

Chang Lu ◽

Danielle Batista ◽

Hoda Hamouda ◽

Victoria Lemieux

Keyword(s):

Health Care ◽

Focus Group ◽

Data Sharing ◽

Health Data ◽

Personal Health Records ◽

Third Party ◽

Personal Health ◽

Health Records ◽

The Third ◽

The Third Party

Background Although researchers are giving increased attention to blockchain-based personal health records (PHRs) and data sharing, the majority of research focuses on technical design. Very little is known about health care consumers’ intentions to adopt the applications. Objective This study aims to explore the intentions and concerns of health care consumers regarding the adoption of blockchain-based personal health records and data sharing. Methods Three focus groups were conducted, in which 26 participants were shown a prototype of a user interface for a self-sovereign blockchain-based PHR system (ie, a system in which the individual owns, has custody of, and controls access to their personal health information) to be used for privacy and secure health data sharing. A microinterlocutor analysis of focus group transcriptions was performed to show a descriptive overview of participant responses. NVivo 12.0 was used to code the categories of the responses. Results Participants did not exhibit a substantial increase in their willingness to become owners of health data and share the data with third parties after the blockchain solution was introduced. Participants were concerned about the risks of losing private keys, the resulting difficulty in accessing care, and the irrevocability of data access on blockchain. They did, however, favor a blockchain-based PHR that incorporates a private key recovery system and offers a health wallet hosted by government or other positively perceived organizations. They were more inclined to share data via blockchain if the third party used the data for collective good and offered participants nonmonetary forms of compensation and if the access could be revoked from the third party. Conclusions Health care consumers were not strongly inclined to adopt blockchain-based PHRs and health data sharing. However, their intentions may increase when the concerns and recommendations demonstrated in this study are considered in application design.

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