Optimizing Filling Completeness Of Electronic Medical Records With Work Engagement As Mediator

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Eka Wilda Faida, Stefanus Supriyanto, Setya Haksama, Hari Basuki Notobroto, Ratna Dwi Wulandari, Dewi Retno Suminar, Wihasto Suryaningtyas, Hosizah


Background: In order to meet the 2030 Sustainable Development Goals (SDGs) on the third point of health and welfare, the Soetomo General and Teaching Hospital, as an East Java provincial government hospital that provides national referral health services as well as a tertiary hospital, has a known number of fillings completes EMR has not met the government's aim of 100 % completion by 2020. This is contrary to the Ministry of Health's strategic plan for 2020-2024, which will have an impact on SDG attainment. Purpose This study aimed to develop a model for filling in the EMR completeness by the Specialist Medicine Academic Program at the Soetomo General and Teaching Hospital in Surabaya based on the Unified Theory of Acceptance and Use of Technology (UTAUT) through the addition of a work engagement variable as a mediator. Method: This was an observational study with a cross sectional research design. A sample of 195 was drawn from a population of 390 physicians of Specialist Physician Education Program using the proportionate random sampling technique. SPSS software can be used to test the validity and reliability. SEM PLS software is used to test the analysis. Results: Performance expectancy, effort expectancy, social influence, and facilitating conditions all have an indirect effect on technology use via work engagement, which subsequently had an effect on behavioral intention. Meanwhile, behavioural intention and facilitating conditions had a direct impact on technology use. Conclusion: Performance expectancy, effort expectancy, social influence, and facilitating conditions may explain 64% of work engagement, work engagement can explain 70% of behavioral intention, and behavioral intention can explain 61% of technology use.

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