An Empirical Study on the Educational Effects of Doctors for Performance Ability Improvement of Electronic Medical Records (전자의무기록의 수행능력 향상을 위한 의료진 교육효과에 대한 실증 연구)

이성란

An Empirical Study on the Educational Effects of Doctors for Performance Ability Improvement of Electronic Medical Records

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2012, 7(6), pp.21-27
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : December 31, 2012

이성란 ¹

¹공주대학교

Accredited

ABSTRACT

The study conducted an empirical study on the educational effects of doctors for performance ability improvement of electronic medical records. The records of 214 patients among a total of 4,667 patients, who had been discharged during a month from two general hospitals in metropolitan area from May 7 to August 10 2012, were reviewed to examine incomplete recording rate in electronic medical records. On the other hand, based on the examination result, six clinical departments, which revealed the highest incomplete medical recording rates, were selected from two hospitals. Then researchers were performed during one month for education of 82 residents for performance ability improvement in electronic medical record. The results of this study were as follows; First, incomplete recording rates were significantly decreased in A hospital(45.27±16.82) and B hospital(31.94±16.25), respectively after 10 days of education(p<.05). Second, non-surgical department of A hospital was higher education effect than surgical department until 45 days, but it sharply dropped education effect than surgical department by 14% after 60 days of education. Therefore, in order to maintain persistent education effect, it is very important to determine the adequate education period and develop various education programs in clinical departments circumstance.

KEYWORDS

Electronic medical records, Performance ability, Improvement, Doctors, Education effects

Citation status

* References for papers published after 2023 are currently being built.

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Journal Central

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89