Title |
Open Issues in Intelligent Personal Health Record – An Updated Status Report for 2012
|
---|---|
Published in |
Journal of Medical Systems, April 2013
|
DOI | 10.1007/s10916-013-9943-6 |
Pubmed ID | |
Authors |
Gang Luo |
Abstract |
To improve the capability and usability of the personal health record (PHR) as a tool to empower consumers in the management of their own health, we have proposed the concept of an intelligent PHR (iPHR) and built a prototype iPHR system with four functions. These four functions use various health knowledge and computer science techniques to automatically provide users with personalized healthcare information to facilitate their well-being. This paper discusses several open issues in iPHR, including two enhancements to an existing function and two potential new functions. The two enhancements are for automatically compiling relevant self-care activities for each health issue and automatically identifying contraindicated self-care activities, respectively. One potential new function is personalized search for individual healthcare providers. Another potential new function is personalized local search for health-related services to help maintain patients in their homes. We include some preliminary thoughts on how to address these open issues with the hope to stimulate future research work on iPHR. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Argentina | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
United States | 2 | 3% |
Malaysia | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 67 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 23% |
Student > Master | 14 | 19% |
Researcher | 10 | 14% |
Other | 5 | 7% |
Student > Doctoral Student | 4 | 5% |
Other | 14 | 19% |
Unknown | 9 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 22% |
Computer Science | 15 | 21% |
Nursing and Health Professions | 10 | 14% |
Social Sciences | 7 | 10% |
Engineering | 5 | 7% |
Other | 7 | 10% |
Unknown | 13 | 18% |