Do data security measures, privacy regulations, and communication standards impact the interoperability of patient health information? A cross-country investigation

2021 ◽  
Vol 148 ◽  
pp. 104401
Author(s):  
Utkarsh Shrivastava ◽  
Jiahe Song ◽  
Bernard T. Han ◽  
Doug Dietzman
Author(s):  
Bashayer Al-Ahmadi Bashayer Al-Ahmadi

Remote Patient Monitoring system is an approach of a health care system that enables the patient-user of performing a remote periodical check-up. Unfortunately, these types of systems usually don't provide the advantages of securely sharing the patient health information among different health providers. Many types of research aimed to solve this issue by applying the blockchain technique to the existing patient health information records at hospitals. However; none was found regarding the remote patient monitoring system's generated data. Therefore, this proposal aims to integrate the advantages of blockchain and the Remote Patient Monitoring (RPM) system by building a secure blockchain based RPM system.


2020 ◽  
Vol 26 (6) ◽  
pp. 466
Author(s):  
Timothy Monaghan ◽  
Jo-Anne Manski-Nankervis ◽  
Rachel Canaway

Research utilising de-identified patient health information extracted from electronic medical records (EMRs) from general practices has steadily grown in recent years in response to calls to increase use of health data for research and other secondary purposes in Australia. Little is known about the views of key primary care personnel on this issue, which are important, as they may influence whether practices agree to provide EMR data for research. This exploratory qualitative study investigated the attitudes and beliefs of general practitioners (GPs), practice managers (PMs) and practice nurses (PNs) around sharing de-identified EMR patient health information with researchers. Semi-structured interviews were conducted with 11 participants (6 GPs, 3 PMs and 2 PNs) recruited via purposive sampling from general practices in Victoria, Australia. Transcripts were coded and thematically analysed. Participants were generally enthusiastic about research utilising de-identified health information extracted from EMRs for altruistic reasons, including: positive effects on primary care research, clinical practice and population health outcomes. Concerns raised included patient privacy and data breaches, third-party use of extracted data and patient consent. These findings can provide guidance to researchers and policymakers in designing and implementing projects involving de-identified health information extracted from EMRs.


2006 ◽  
Vol 48 (4) ◽  
pp. 426-432 ◽  
Author(s):  
Jason S. Shapiro ◽  
Joseph Kannry ◽  
Mark Lipton ◽  
Eric Goldberg ◽  
Paul Conocenti ◽  
...  

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