Hambatan Implementasi Rekam Medis Elektronik Dengan Metode HOT-Fit di RST Tk.II dr. Soedjono Magelang

Background: Implementation of Electronic Medical Records (EMR) still has many obstacles faced by hospitals. There is a need for a comprehensive EMR evaluation to identify specific problems so that they can be used as a basis for decision making aimed at improving EMR. Purpose: The aim of this research is to exploring barriers to EMR implementation using the Hot-Fit model at RST Tk.II dr. Soedjono Magelang. Method: This research was used the qualitative study type of research with a cross sectional approach. The selected informants were 7 people consisting of the head of the medical records unit, reporting officer, coding officer, registration officer, IT team leader, doctor and nurse and 1 informant as source triangulation, namely the head of medical services. The data analysis approach uses thematic analysis and the reduction approach uses inductive. Result: This research found 9 themes related to barriers to implementing RME at RST Tk.II dr. Soedjono Magelang, namely officer performance, features and modules, data security, infrastructure, officer behavior, EMR data integration, ease of EMR, information accuracy, and developer/system developer response. Conclusion: There are still identified obstacles to EMR implementation from various aspects. The hospital has made improvements to date so that staff recruitment can increase.

Authors

Institutions

Publication Details

Journal
Jurnal Indonesia Sehat
Published
2024-08-10
DOI
https://doi.org/10.58353/jurinse.v3i2.211
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hambatan Implementasi Rekam Medis Elektronik Dengan Metode HOT-Fit di RST Tk.II dr. Soedjono Magelang

Ratna Prahesti, Suryo Nugroho Markus, Tika Sari Dewi
Jurnal Indonesia Sehat
Decision Support System Applications
article

Hambatan Implementasi Rekam Medis Elektronik Dengan Metode HOT-Fit di RST Tk.II dr. Soedjono Magelang

Ratna Prahesti, Suryo Nugroho Markus, Tika Sari Dewi
article en

Abstract

Background: Implementation of Electronic Medical Records (EMR) still has many obstacles faced by hospitals. There is a need for a comprehensive EMR evaluation to identify specific problems so that they can be used as a basis for decision making aimed at improving EMR. Purpose: The aim of this research is to exploring barriers to EMR implementation using the Hot-Fit model at RST Tk.II dr. Soedjono Magelang. Method: This research was used the qualitative study type of research with a cross sectional approach. The selected informants were 7 people consisting of the head of the medical records unit, reporting officer, coding officer, registration officer, IT team leader, doctor and nurse and 1 informant as source triangulation, namely the head of medical services. The data analysis approach uses thematic analysis and the reduction approach uses inductive. Result: This research found 9 themes related to barriers to implementing RME at RST Tk.II dr. Soedjono Magelang, namely officer performance, features and modules, data security, infrastructure, officer behavior, EMR data integration, ease of EMR, information accuracy, and developer/system developer response. Conclusion: There are still identified obstacles to EMR implementation from various aspects. The hospital has made improvements to date so that staff recruitment can increase.

Jurnal Indonesia SehatVol. 3(2)
Universitas Jenderal Achmad Yani (ID)
Openalex Percentile: Top 53%
Decision Support System Applications
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.