Evidence map›Paper›PMID 42335468›Full record

Observational studyJMIR medical informatics2026

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

Eunjoung Choi, Sunki Lee, Jinsung Jeon, Eung Ju Kim

Abstract readObservational Study
In one paragraph

Observational study in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eunjoung Choi *Cardiovascular center, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea, 82 02-2626-3022, 82 02-2626-2024.ORCID 0000-0002-3229-5128
Sunki Lee *Cardiovascular center, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea, 82 02-2626-3022, 82 02-2626-2024.ORCID 0000-0002-5247-7981
Jinsung JeonDepartment of Cardiology, Asan Medical Center, Seoul, Republic of Korea.ORCID 0009-0001-9465-3656
Eung Ju KimCardiovascular center, Korea University Guro Hospital, 148 Gurodong-ro, Guro-gu, Seoul, 08308, Republic of Korea, 82 02-2626-3022, 82 02-2626-2024.ORCID 0000-0003-2322-6267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient-generated health data (PGHD) can enhance patient-centered care by improving disease awareness and preparedness for clinical encounters. However, automated incorporation of PGHD into electronic medical records (EMRs), which is a prerequisite for broader clinical implementation, remains technically and administratively challenging. Objective: This study describes the development of Miri-Alimi, a PGHD collection platform that delivers mobile social networking service-based previsit questionnaires with automated transfer of structured patient responses into the EMR, and evaluates patient participation, EMR documentation quality, and user satisfaction in a cardiology outpatient clinic. Methods: This single-center observational study was conducted between August and November 2024 and included 751 consecutive cardiology outpatients, comprising 282 first-visit patients and 469 patients attending follow-up visits for heart failure. All eligible patients received a previsit electronic questionnaire link via KakaoTalk or multimedia messaging service prior to their scheduled visit. The primary outcomes were the overall survey response rate among all enrolled patients and EMR documentation completeness among follow-up patients with heart failure. Documentation quality was evaluated based on 3 prespecified parameters relevant to routine heart failure care-dyspnea, peripheral edema, and medication adherence status-and was quantified using an EMR completeness score ranging from 0 to 3. Secondary outcomes included patient and provider satisfaction assessed using postvisit 5-point Likert-scale surveys. Firth penalized logistic regression was used to evaluate the association between survey response status and EMR completeness, with adjustment for age and sex. Results: The response rate was 38.5% (289/751), including 48.9% (138/282) of new patients and 32.2% (151/469) of follow-up patients with heart failure. Responders were younger than nonresponders (mean 62.0, SD 15.7 years vs mean 69.8, SD 12.5 years; P<.001). Among the follow-up patients with heart failure, EMR completeness was higher among responders (median score 3, IQR 3-3) than among nonresponders (median score 0, IQR 0-1; P<.001). Patient satisfaction was high: 82.9% (63/76) to 92.1% (70/76) agreed that the system was appropriate, easy to use, and helpful, and 78.9% (60/76) completed the survey in <10 minutes. Both cardiologists and 7 of the 8 participating nurses supported continued use of the system, citing workflow efficiency gains. Conclusions: Miri-Alimi enabled patient-friendly PGHD collection without requiring log-ins or a dedicated app and demonstrated direct transfer of patient responses into the EMR. Its use was associated with effective transfer and structured integration of PGHD into the EMR, as well as high satisfaction among survey respondents and participating staff. Further studies should evaluate sustainability and associations with long-term clinical outcomes across diverse care settings.

Indexed as

Electronic Health RecordsPatient Generated Health DataSocial NetworkingAgedDigital HealthFemaleHeart FailureHumansMaleMiddle AgedPatient SatisfactionProspective StudiesSurveys and Questionnairesdocumentationelectronic medical recordsheart failuremobile healthoutpatientpatient engagementpatient-generated health datapatient satisfaction

Identifiers

PMID42335468
PMCPMC13290106

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.