scholarly journals Recommended configuration for personal health records by standardized data item sets for diabetes mellitus and associated chronic diseases: A report from Collaborative Initiative by six Japanese Associations

2019 ◽  
Vol 10 (3) ◽  
pp. 868-875 ◽  
Author(s):  
Naoki Nakashima ◽  
Mitsuhiko Noda ◽  
Kohjiro Ueki ◽  
Tatsuhiko Koga ◽  
Michio Hayashi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Chronic Diseases ◽  
Personal Health Records ◽  
Data Item ◽  
Personal Health ◽  
Health Records ◽  
Collaborative Initiative

scholarly journals Practice-Linked Online Personal Health Records for Type 2 Diabetes Mellitus

2008 ◽  
Vol 168 (16) ◽  
pp. 1776 ◽  
Author(s):  
Richard W. Grant ◽  
Jonathan S. Wald ◽  
Jeffrey L. Schnipper ◽  
Tejal K. Gandhi ◽  
Eric G. Poon ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Records

scholarly journals Development of Comprehensive Personal Health Records Integrating Patient-Generated Health Data Directly From Samsung S-Health and Apple Health Apps: Retrospective Cross-Sectional Observational Study (Preprint)

2018 ◽  
Author(s):  
Se Young Jung ◽  
Jeong-Whun Kim ◽  
Hee Hwang ◽  
Keehyuck Lee ◽  
Rong-Min Baek ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Task Force ◽  
Age Groups ◽  
Health Data ◽  
Personal Health Records ◽  
Medical Documentation ◽  
Personal Health ◽  
Cross Sectional ◽  
Health Records ◽  
Health Apps

BACKGROUND Patient-generated health data (PGHD), especially lifelog data, are important for managing chronic diseases. Additionally, personal health records (PHRs) have been considered an effective tool to engage patients more actively in the management of their chronic diseases. However, no PHRs currently integrate PGHD directly from Samsung S-Health and Apple Health apps. OBJECTIVE The purposes of this study were (1) to demonstrate the development of an electronic medical record (EMR)–tethered PHR system (Health4U) that integrates lifelog data from Samsung S-Health and Apple Health apps and (2) to explore the factors associated with the use rate of the functions. METHODS To upgrade conventional EMR-tethered PHRs, a task-force team (TFT) defined the functions necessary for users. After implementing a new system, we enrolled adults aged 19 years and older with prior experience of accessing Health4U in the 7-month period after November 2017, when the service was upgraded. RESULTS Of the 17,624 users, 215 (1.22%) integrated daily steps data, 175 (0.99%) integrated weight data, 51 (0.29%) integrated blood sugar data, and 90 (0.51%) integrated blood pressure data. Overall, 61.95% (10,919/17,624) had one or more chronic diseases. For integration of daily steps data, 48.3% (104/215) of patients used the Apple Health app, 43.3% (93/215) used the S-Health app, and 8.4% (18/215) entered data manually. To retrieve medical documentation, 324 (1.84%) users downloaded PDF files and 31 (0.18%) users integrated their medical records into the Samsung S-Health app via the Consolidated-Clinical Document Architecture download function. We found a consistent increase in the odds ratios for PDF downloads among patients with a higher number of chronic diseases. The age groups of ≥60 years and ≥80 years tended to use the download function less frequently than the others. CONCLUSIONS This is the first study to examine the factors related to integration of lifelog data from Samsung S-Health and Apple Health apps into EMR-tethered PHRs and factors related to the retrieval of medical documents from PHRs. Our findings on the lifelog data integration can be used to design PHRs as a platform to integrate lifelog data in the future.

Personal health records

2011 ◽  
Vol 17 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Deborah Beranek Lafky ◽  
Thomas A. Horan
Keyword(s):  
Personal Health Records ◽  
Personal Health ◽  
Health Records

Secret Sharing-based Personal Health Records Management for the Internet of Health Things

2021 ◽  
pp. 103129
Author(s):  
Parsa Sarosh ◽  
Shabir A. Parah ◽  
G. Mohiuddin Bhat ◽  
Ali Asghar Heidari ◽  
Khan Muhammad
Keyword(s):  
Secret Sharing ◽  
Personal Health Records ◽  
The Internet ◽  
Personal Health ◽  
Records Management ◽  
Health Records
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