Development of Electronic Health Record System Functionality through the Creation of a Central Surgery Module

Electronic Health Records Central Surgery Module Medical Record Management Surgery

Authors

  • Dary Rahman Department of Informatics Engineering, Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Indonesia
  • Teddie Darmizal Department of Informatics Engineering, Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Indonesia
  • Muhammad Affandes Department of Informatics Engineering, Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Indonesia
  • Pizaini Department of Informatics Engineering, Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Indonesia
June 20, 2024
June 21, 2024

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 With the advancement of health technology, the use of Electronic Health Records (EHR) systems has become crucial in improving the efficiency and quality of services in various hospital units. However, the adoption of EHR systems is still uneven, especially in developing countries, including Indonesia. At the Pekanbaru Military Hospital, several departments have successfully implemented EHR systems, but the surgical department still uses a paper-based system for medical record keeping. Challenges faced include a lack of infrastructure and technical support. Therefore, the development of a central surgery module within the EHR system at Pekanbaru Military Hospital is necessary to enhance the efficiency and accuracy of medical record-keeping. This study aims to enhance the functionality of the EHR system in managing medical records in the surgical department by developing a central surgery module at the Pekanbaru Military Hospital. The software development methodology used in this study is the Agile model, which includes user requirements analysis, data collection, system implementation, as well as evaluation and validation. The Central Surgery Module that has been developed includes various features such as patient registration for surgery, recording of pre-operative, intra-operative, and post-operative patient data, surgical reports, and integration with laboratory and radiology systems. Through testing conducted using the black box testing technique, the results showed that 93.48% of the system functionality worked well, and using the User Acceptance Testing technique, it was found that 92.5% of the system functionality was acceptable to users.