Technology Readiness and Acceptance Model (TRAM) Pada Pengguna Rekam Medis Elektronik

Abstract

Proporsi terbanyak implementasi rekam medis elektronik (RME) di Indonesia berada pada level 3. Mayoritas hanya digunakan untuk administratif. Padahal RME dapat membantu manajemen pelayanan pasien dengan lebih baik. RME wajib digunakan untuk dokumentasi pelayanan pasien di RSJD dr. Arif Zainudin Surakarta. Pihak RS belum pernah melakukan evaluasi RME secara menyeluruh. Kesiapan teknologi dan penerimaan pengguna penting sebagai bahan evaluasi untuk mengembangkan RME yang efektif dan efisien. Studi ini bertujuan menganalisis pola interaksi kesiapan teknologi terhadap penerimaan pengguna RME berdasarkan model Technology Readiness and Acceptance Model (TRAM). Penelitian ini merupakan jenis penelitian analitik kuantitatif dengan desain cross sectional. Data dikumpulkan melalui pengguna RME dengan menggunakan kuesioner terstruktur. Analisis data dilakukan dengan analisis statistik deskriptif dan analisis SEM-PLS. Variabel yang memengaruhi adopsi RME, yaitu technology readiness berpengaruh terhadap perceived ease of use, perceived usefulness, dan use intention; perceived ease of use berpengaruh terhadap perceived usefulness. Perceived ease of use dan perceived usefulness tidak berpengaruh terhadap use intention. Untuk meningkatkan penerimaan pengguna, maka dibutuhkan pengembangan RME dengan menu dan fitur yang lebih mudah dan lebih praktis.The highest proportion of electronic medical records (EMR) implementation in Indonesia is level 3. It is just used for administration. EMR can improve patient care management. EMR is used to record patient services at RSJD Dr. Arif Zainudin Surakarta. An evaluation was never carried out to assess the EMR system. Technology readiness and user acceptance are important for developing an effective and efficient EMR. This study aimed to analyze the interaction of technology readiness and user acceptance of EMR based on the Technology Readiness and Acceptance Model (TRAM). This was an analitic-quantitative research with a cross-sectional design study. Data from EMR users was collected with a structured questionnaire. Data was analyzed using descriptive statistical analysis and SEM-PLS. The finding showed that technology readiness has significant positive effects on perceived ease of use, perceived usefulness, and use intention; perceived ease of use has significant positive effects on perceived usefulness. Perceived ease of use and perceived usefulness do not have significant effects on use intention. To improve EMR acceptance, it is necessary to develop easier and more practical features.