| Title |
Development of a Multi-Agent m-Health Application Based on Various Protocols for Chronic Disease Self-Management
|
|---|---|
| Published in |
Journal of Medical Systems, November 2015
|
| DOI | 10.1007/s10916-015-0401-5 |
| Pubmed ID | |
| Authors |
Hyun Sang Park, Hune Cho, Hwa Sun Kim |
| Abstract |
The purpose of this study was to develop and evaluate a mobile health application (Self-Management mobile Personal Health Record: "SmPHR") to ensure the interoperability of various personal health devices (PHDs) and electronic medical record systems (EMRs) for continuous self-management of chronic disease patients. The SmPHR was developed for Android 4.0.3, and implemented according to the optimized standard protocol for each interface of healthcare services adopted by the Continua Health Alliance (CHA). That is, the Personal Area Network (PAN) interface between the application and PHD implements ISO/IEEE 11073-20,601, 10,404, 10,407, 10,415, 10,417, and Bluetooth Health Device Profile (HDP), and EMRs with a wide area network (WAN) interface implement HL7 V2.6; the Health Record Network (HRN) interface implements Continuity of Care Document (CCD) and Continuity of Care Record (CCR). Also, for SmPHR, we evaluated the transmission error rate between the interface using four PHDs and personal health record systems (PHRs) from previous research, with 611 users and elderly people after receiving institutional review board (IRB) approval. In the evaluation, the PAN interface showed 15 (2.4 %) errors, and the WAN and HRN interface showed 13 (2.1 %) errors in a total of 611 transmission attempts. Also, we received opinions regarding SmPHR from 15 healthcare professionals who took part in the clinical trial. Thus, SmPHR can be provided as an interconnected PHR mobile health service to patients, allowing 'plug and play' of PHDs and EMRs through various standard protocols. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 136 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 17% |
| Student > Ph. D. Student | 21 | 15% |
| Student > Bachelor | 17 | 12% |
| Researcher | 9 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 28 | 20% |
| Unknown | 32 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 27 | 20% |
| Medicine and Dentistry | 21 | 15% |
| Computer Science | 16 | 12% |
| Engineering | 9 | 7% |
| Social Sciences | 6 | 4% |
| Other | 21 | 15% |
| Unknown | 38 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2016.
All research outputs
#17,777,370
of 22,833,393 outputs
Outputs from Journal of Medical Systems
#765
of 1,149 outputs
Outputs of similar age
#188,934
of 281,503 outputs
Outputs of similar age from Journal of Medical Systems
#22
of 37 outputs
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