IMPLEMENTASI DIGITALISASI EWS DAN MEWS: KELENGKAPAN DATA DAN KESESUAIAN ESKALASI DI RUANG ALAMANDA RSUP DR. HASAN SADIKIN TAHUN 2022

Maternal mortality and morbidity in hospitals mostly occur in preventable cases. The early warning system, as one of the prevention efforts based on clinical findings, has not been implemented comprehensively. The large number of incomplete data and the inconsistency of the early warning system escalation are the basis for the development of electronic technology solutions. With an electronic system, it is expected that management can be carried out earlier, preventing life-threatening conditions because patients will be treated faster so that the expected output is better. Objective: This study aims to analyze the differences in the completeness of data entry and the appropriateness of the early warning system escalation before and after the digitalization of EWS and MEWS in the Alamanda Room of Dr. Hasan Sadikin Hospital, Bandung. Method: This study is a quantitative study using a pre-experimental design with a one-group pre-post test approach. The sampling technique with a total sampling of 648 datas, both before and after digitalization. Secondary data was taken from all data from the results of the filling responses that had been collected. Data analysis used univariate frequency distribution analysis and bivariate analysis using the Chi-Square and Fisher's Exact tests. Results: Based on the results of the study, it was found that according to the hospital's Standard Operating Procedure, the completeness of EWS data filling after the intervention increased to 97.2%, the appropriate EWS data escalation after the intervention became 56.61%. MEWS data also increased after the intervention to 91.2%, the appropriate MEWS data escalation after the intervention became 63.6%. The results of the bivariate data analysis showed a significant difference in the completeness of data filling and the appropriateness of escalation before and after digitalization with a p-value of 0.000. Conclusion: Digitalization can improve the completeness of data filling based on SOP and the appropriateness of the hospital's early warning system escalation. The appropriateness of escalation and rapid clinical response has an impact on the quality of maternal care, patient safety, and the quality of hospital services.

Authors

Institutions

Publication Details

Journal
Jurnal Kesehatan An-Nuur
Published
2025-09-15
DOI
https://doi.org/10.71023/jukes.v2i2.29
Primary Topic
Public Health and Nutrition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IMPLEMENTASI DIGITALISASI EWS DAN MEWS: KELENGKAPAN DATA DAN KESESUAIAN ESKALASI DI RUANG ALAMANDA RSUP DR. HASAN SADIKIN TAHUN 2022

Rycco Darmareja, Sani Widianti Kuswara
Jurnal Kesehatan An-Nuur
Public Health and Nutrition
article

IMPLEMENTASI DIGITALISASI EWS DAN MEWS: KELENGKAPAN DATA DAN KESESUAIAN ESKALASI DI RUANG ALAMANDA RSUP DR. HASAN SADIKIN TAHUN 2022

Rycco Darmareja, Sani Widianti Kuswara
article en

Abstract

Maternal mortality and morbidity in hospitals mostly occur in preventable cases. The early warning system, as one of the prevention efforts based on clinical findings, has not been implemented comprehensively. The large number of incomplete data and the inconsistency of the early warning system escalation are the basis for the development of electronic technology solutions. With an electronic system, it is expected that management can be carried out earlier, preventing life-threatening conditions because patients will be treated faster so that the expected output is better. Objective: This study aims to analyze the differences in the completeness of data entry and the appropriateness of the early warning system escalation before and after the digitalization of EWS and MEWS in the Alamanda Room of Dr. Hasan Sadikin Hospital, Bandung. Method: This study is a quantitative study using a pre-experimental design with a one-group pre-post test approach. The sampling technique with a total sampling of 648 datas, both before and after digitalization. Secondary data was taken from all data from the results of the filling responses that had been collected. Data analysis used univariate frequency distribution analysis and bivariate analysis using the Chi-Square and Fisher's Exact tests. Results: Based on the results of the study, it was found that according to the hospital's Standard Operating Procedure, the completeness of EWS data filling after the intervention increased to 97.2%, the appropriate EWS data escalation after the intervention became 56.61%. MEWS data also increased after the intervention to 91.2%, the appropriate MEWS data escalation after the intervention became 63.6%. The results of the bivariate data analysis showed a significant difference in the completeness of data filling and the appropriateness of escalation before and after digitalization with a p-value of 0.000. Conclusion: Digitalization can improve the completeness of data filling based on SOP and the appropriateness of the hospital's early warning system escalation. The appropriateness of escalation and rapid clinical response has an impact on the quality of maternal care, patient safety, and the quality of hospital services.

Jurnal Kesehatan An-NuurVol. 2(2)
Universitas Patria Artha (ID)
Openalex Percentile: Top 64%
Public Health and Nutrition
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.