Exploring Refined Pathways for Medical Record Management Based on Quality Control

This study investigated the impact of quality control (QC) on medical record management. We analyzed 300 medical records from January 2023 to August 2024, divided into two groups: a control group (n=150) managed conventionally and an observation group (n=150) where QC measures were implemented. Both groups were managed by 20 medical staff. Our findings indicate that the observation group, utilizing QC, achieved significantly higher scores across various management aspects, including regular inventory checks, location-based management, organization and archiving, disease coding, medical record registration, and content verification (P<0.05). While baseline assessments of assessment systems, information entry, and quality supervision showed no significant differences between groups (P>0.05), post-management scores were significantly higher in the observation group (P<0.05). Furthermore, the observation group demonstrated a markedly lower incidence of adverse events (2.00%) compared to the control group (14.00%) (P<0.05). These results suggest that implementing quality control measures significantly enhances the quality of medical record management and substantially reduces adverse events, highlighting its value for widespread adoption in healthcare settings.

Publication Details

Journal
Academic Journal of Medicine & Health Sciences
Published
2025-01-01
DOI
https://doi.org/10.25236/ajmhs.2025.060501
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.81
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article

Exploring Refined Pathways for Medical Record Management Based on Quality Control

1 citations
Academic Journal of Medicine & Health Sciences
Biomedical Text Mining and Ontologies
0.81
article

Exploring Refined Pathways for Medical Record Management Based on Quality Control

article en
1 citations

Abstract

This study investigated the impact of quality control (QC) on medical record management. We analyzed 300 medical records from January 2023 to August 2024, divided into two groups: a control group (n=150) managed conventionally and an observation group (n=150) where QC measures were implemented. Both groups were managed by 20 medical staff. Our findings indicate that the observation group, utilizing QC, achieved significantly higher scores across various management aspects, including regular inventory checks, location-based management, organization and archiving, disease coding, medical record registration, and content verification (P<0.05). While baseline assessments of assessment systems, information entry, and quality supervision showed no significant differences between groups (P>0.05), post-management scores were significantly higher in the observation group (P<0.05). Furthermore, the observation group demonstrated a markedly lower incidence of adverse events (2.00%) compared to the control group (14.00%) (P<0.05). These results suggest that implementing quality control measures significantly enhances the quality of medical record management and substantially reduces adverse events, highlighting its value for widespread adoption in healthcare settings.

Academic Journal of Medicine & Health SciencesVol. 6(5)
Openalex Percentile: Top 26%
Biomedical Text Mining and Ontologies
0.81
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