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Nevin Manimala Statistics

Impact analysis of the driver’s license-type scoring system in the quality management of hospital medical records: An observational study

Medicine (Baltimore). 2024 Oct 18;103(42):e40101. doi: 10.1097/MD.0000000000040101.

ABSTRACT

The purpose of this study was to analyze the impact of implementing a driver’s license-type scoring system on the quality management of hospital medical records. We collected relevant medical record quality control data before (from April to November 2021) and after (from April to November 2022) the use of the driver’s license-type scoring management in the medical record quality management of a Grade-A tertiary general hospital in a prefecture-level city (“R Hospital” for short). We evaluated the impact by statistically analyzing the data using the χ2 test and t test with the SPSSAU online statistical analysis software. Compared with before the implementation of the new system, the filling rate of discharge medical records within 2 days, logical rate of day diagnosis and treatment medical records, logical rate of day surgery medical records, and clinical tumor-node-metastasis staging evaluation rate before tumor treatment significantly increased, and the difference was statistically significant (P < .05); the rate of errors or omissions on the first page of inpatient medical records significantly decreased, and the difference between before and after implementation of the new system was statistically significant (P < .05). We found that the driver’s license-type scoring management adapted for use in the quality management of hospital medical records was effective in regulating the medical record writing behavior of physicians and improved the quality of medical records, thus meriting wide promotion.

PMID:39432653 | DOI:10.1097/MD.0000000000040101

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