Implementation and Evaluation of a Social Networking Service-based Mobile Patient-generated Health Data System with Direct Electronic Medical Record Integration: A Prospective Observational Study (Preprint)

<sec> <title>BACKGROUND</title> Patient-generated health data (PGHD) can make consultations more patient-centered and enhance patient disease awareness and visit preparedness. </sec> <sec> <title>OBJECTIVE</title> We developed “Miri-Alimi,” a mobile, Social Networking Service-delivered previsit questionnaire that automatically transfers results to the electronic medical record (EMR). This study assessed patient participation, documentation quality, and user satisfaction in a cardiology outpatient clinic. </sec> <sec> <title>METHODS</title> This single-center observational study (August–November 2024) included 751 outpatients consisting of 282 first-time cardiovascular patients and 469 heart failure follow-ups who received a previsit questionnaire link via KakaoTalk or a multimedia messaging service (MMS). The primary outcomes were the survey response rate among all patients (including both initial cardiovascular and follow-up heart failure patients) and the completeness of documentation for three heart failure parameters (dyspnea, edema, and medication adherence ≥80%) recorded in the EMRs of follow-up heart failure patients. Secondary outcomes were patient and provider satisfaction, measured using post-visit Likert -scale surveys. </sec> <sec> <title>RESULTS</title> The response rate was 38.5% (289/751); among these, 48.9% (138/282) were first-visit and 32.2% (151/469) were heart failure follow-up patients. Responders were younger than non-responders (mean 62.0, SD 15.7 vs mean 69.8, SD 12.5 years; P&lt;.001). Among the heart failure follow-ups, EMR completeness was higher in responders (median 3, IQR 3–3) than in non-responders (median 0, IQR 0–1; P&lt;.001). Patient satisfaction was high: 82.8% (63/76)–92% (70/76) agreed that the system was appropriate, easy to use, and helpful, and 78.9% (66/76) completed the survey in &lt;10 minutes. Both cardiologists and eight of the nine nurses supported continued use of the system, citing workflow efficiency gains. </sec> <sec> <title>CONCLUSIONS</title> Miri-Alimi facilitates patient-friendly PGHD data collection and seamless EMR integration without requiring logins or apps. This significantly improved documentation completeness and resulted in high satisfaction scores. Future studies should assess long-term sustainability and clinical outcomes across diverse settings. </sec> <sec> <title>CLINICALTRIAL</title> Clinical Research Information Service of the Korea Disease Control and Prevention Agency number PRE20250218-002; https://cris.nih.go.kr. </sec>

Authors

Publication Details

Published
2025-07-25
DOI
https://doi.org/10.2196/preprints.81317
Primary Topic
Innovation in Digital Healthcare Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation and Evaluation of a Social Networking Service-based Mobile Patient-generated Health Data System with Direct Electronic Medical Record Integration: A Prospective Observational Study (Preprint)

Jinsung Jeon, Sunki Lee, Eung Ju Kim, Eun Bok Choi
Innovation in Digital Healthcare Systems
article

Implementation and Evaluation of a Social Networking Service-based Mobile Patient-generated Health Data System with Direct Electronic Medical Record Integration: A Prospective Observational Study (Preprint)

Jinsung Jeon, Sunki Lee, Eung Ju Kim, Eun Bok Choi
article en

Abstract

<sec> <title>BACKGROUND</title> Patient-generated health data (PGHD) can make consultations more patient-centered and enhance patient disease awareness and visit preparedness. </sec> <sec> <title>OBJECTIVE</title> We developed “Miri-Alimi,” a mobile, Social Networking Service-delivered previsit questionnaire that automatically transfers results to the electronic medical record (EMR). This study assessed patient participation, documentation quality, and user satisfaction in a cardiology outpatient clinic. </sec> <sec> <title>METHODS</title> This single-center observational study (August–November 2024) included 751 outpatients consisting of 282 first-time cardiovascular patients and 469 heart failure follow-ups who received a previsit questionnaire link via KakaoTalk or a multimedia messaging service (MMS). The primary outcomes were the survey response rate among all patients (including both initial cardiovascular and follow-up heart failure patients) and the completeness of documentation for three heart failure parameters (dyspnea, edema, and medication adherence ≥80%) recorded in the EMRs of follow-up heart failure patients. Secondary outcomes were patient and provider satisfaction, measured using post-visit Likert -scale surveys. </sec> <sec> <title>RESULTS</title> The response rate was 38.5% (289/751); among these, 48.9% (138/282) were first-visit and 32.2% (151/469) were heart failure follow-up patients. Responders were younger than non-responders (mean 62.0, SD 15.7 vs mean 69.8, SD 12.5 years; P&lt;.001). Among the heart failure follow-ups, EMR completeness was higher in responders (median 3, IQR 3–3) than in non-responders (median 0, IQR 0–1; P&lt;.001). Patient satisfaction was high: 82.8% (63/76)–92% (70/76) agreed that the system was appropriate, easy to use, and helpful, and 78.9% (66/76) completed the survey in &lt;10 minutes. Both cardiologists and eight of the nine nurses supported continued use of the system, citing workflow efficiency gains. </sec> <sec> <title>CONCLUSIONS</title> Miri-Alimi facilitates patient-friendly PGHD data collection and seamless EMR integration without requiring logins or apps. This significantly improved documentation completeness and resulted in high satisfaction scores. Future studies should assess long-term sustainability and clinical outcomes across diverse settings. </sec> <sec> <title>CLINICALTRIAL</title> Clinical Research Information Service of the Korea Disease Control and Prevention Agency number PRE20250218-002; https://cris.nih.go.kr. </sec>

Openalex Percentile: Top 77%
Innovation in Digital Healthcare Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.