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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Jul 25, 2025
Date Accepted: May 27, 2026

The final, peer-reviewed published version of this preprint can be found here:

Implementation and Evaluation of a Social Networking Service–Based Mobile Patient-Generated Health Data System With Direct Electronic Medical Record Integration: Prospective Observational Study

Choi E, Jeon J, Lee S, Kim EJ

Implementation and Evaluation of a Social Networking Service–Based Mobile Patient-Generated Health Data System With Direct Electronic Medical Record Integration: Prospective Observational Study

JMIR Med Inform 2026;14:e81317

DOI: 10.2196/81317

PMID: 42335468

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • Eunjoung Choi; 
  • Jinsung Jeon; 
  • Sunki Lee; 
  • Eung Ju Kim

ABSTRACT

Background:

Patient-generated health data (PGHD) can make consultations more patient-centered and enhance patient disease awareness and visit preparedness.

Objective:

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.

Methods:

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.

Results:

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<.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<.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 <10 minutes. Both cardiologists and eight of the nine nurses supported continued use of the system, citing workflow efficiency gains.

Conclusions:

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. Clinical Trial: Clinical Research Information Service of the Korea Disease Control and Prevention Agency number PRE20250218-002; https://cris.nih.go.kr.


 Citation

Please cite as:

Choi E, Jeon J, Lee S, Kim EJ

Implementation and Evaluation of a Social Networking Service–Based Mobile Patient-Generated Health Data System With Direct Electronic Medical Record Integration: Prospective Observational Study

JMIR Med Inform 2026;14:e81317

DOI: 10.2196/81317

PMID: 42335468

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