Evidence map›Paper›PMID 40025050›Full record

ArticleScientific reports2025

Understanding patient perception of digital value co-creation in electronic health record through clustering approach.

Ilma Nurul Rachmania, Gatot Yudoko, Mursyid Hasan Basri, Santi Setyaningsih

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ilma Nurul RachmaniaSchool of Business and Management, Bandung Institute of Technology, Bandung, 40116, Indonesia. ilma.nurul@sbm-itb.ac.id.
Gatot YudokoSchool of Business and Management, Bandung Institute of Technology, Bandung, 40116, Indonesia.
Mursyid Hasan BasriFaculty of Economy and Business, Bangka Belitung University, Bangka Belitung, 33172, Indonesia.
Santi SetyaningsihSchool of Regional Sciences and Business Administration, Széchenyi István University, Győr, 9026, Hungary.

Funding

Lembaga Pengelola Dana Pendidikan KET-5013/LPDP.4/2022
6 · The paper itself

Abstract

Patients are central to healthcare services, and comprehending their perceptions is crucial for fostering effective value co-creation. This study aimed to investigate the user characteristics and perceptions of value co-creation within the context of Mobile Electronic Health Records (EHR). Using a questionnaire collected from 422 patients, the study employed the K-modes clustering algorithm in R-Studio to group users based on shared characteristics and perceptions of value co-creation. The analysis revealed three distinct user clusters, which are high familiarity-positive perception, low familiarity-positive perception and high familiarity-neutral to negative perception. These clusters characterized by unique attributes such as socio-economic, history of medical visit, intention to use, technological familiarity, and different perception of value co-creation in Mobile EHR systems. Descriptive statistics were used to further interpret the clusters, revealing differences in user characteristics and perception across cluster. The findings emphasize the importance of alignment between user expectations and system interactions. Effective alignment fosters value co-creation through resource access, sharing, integration, and recombination, while misalignment may result in value destruction. This study highlights the need to design and implement Mobile EHR systems that align with the diverse characteristics and of their users to enhance engagement and promote value co-creation.

Indexed as

Electronic Health RecordsPerceptionAdultAgedCluster AnalysisFemaleHumansMaleMiddle AgedSurveys and QuestionnairesCo-creationCo-destructionElectronic health recordHealthcare servicePatient perception

Identifiers

PMID40025050
PMCPMC11873182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.