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All Journal Formosa Journal of Multidisciplinary Research (FJMR)
Rokhman Handoyo
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Social Sciences

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Health Retention: Health Regulations and Archive Management Lilik Afifah; Rokhman Handoyo; Kalia Labitta Putri Alivia
Formosa Journal of Multidisciplinary Research Vol. 3 No. 6 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i6.9463

Abstract

Medical records are documents containing patient identification data, examinations, treatments, actions, and other services provided to patients. The storage of medical records, which includes the creation and archiving of medical information, is considered crucial for improving service quality. In managing medical records, the destruction of medical records becomes one of the most important elements. Conventional medical record files are no longer efficient to use; therefore, the destruction of these medical record files is necessary. This study aims to analyze the legal aspects of destroying conventional medical record files in accordance with applicable regulations. The method used is descriptive qualitative with a normative legal research type, referring to the applicable regulatory approach. Results: Retention implementation according to health regulations and archive management still needs to be carried out to prevent accumulation and improve the quality of health services in hospitals. Conclusion: In the health ministerial regulations, laws, and archive regulations, there is an emphasis on the storage of medical records up to the retention activities. However, regulations regarding the retention of conventional medical record files are still limited or not detailed in the current regulations. Therefore, a clearer and more explicit regulation related to the retention or destruction of conventional medical records and their legal protection is needed.
Technology Design in Health Services: Feature Planning Strategy Filter for HMIS Optimization Agus Widodo; Rokhman Handoyo; Abdul Hakim
Formosa Journal of Multidisciplinary Research Vol. 3 No. 6 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i6.9464

Abstract

Health information management in hospitals requires an efficient and structured system to accurately present patient data. This study aims to develop a filter feature in the Hospital Management Information System (HMIS) to enhance the efficiency of patient coding status management at Muhammadiyah Hospital. The development method involves a software development approach based on the Software Development Life Cycle (SDLC), involving medical record officers and administrative staff as the study population. The results show that the addition of the filter feature in HMIS successfully improves the efficiency of managing patient coding status. The filter feature enables medical record officers to easily identify the filling status of each patient efficiently, enhances the accuracy of health data management, and minimizes the risk of errors.
Mortality Data Management at Muhammadiyah University Hospital Malang Untung Slamet Suharyono; Rokhman Handoyo; Farah Naila Rahmatika Orisa Sativa
Formosa Journal of Multidisciplinary Research Vol. 3 No. 6 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i6.9465

Abstract

Background: Mortality data is an important indicator of hospital performance, used for assessment and policy-making. This study evaluates the processing of mortality data at RSU Universitas Muhammadiyah Malang, including recording, coding, and reporting. Methods: A qualitative study with interviews of coding staff and observation of medical records. Results: The recording of death data is suboptimal due to an inappropriate death certificate format. Coding and reselection of UCOD are not optimal because they are not based on the diagnosis in the death certificate, and the UCOD reselection and MMDS rules have not been used. Reporting is done by calculating GDR and NDR, and documenting the diagnoses of deceased patients and KLB reports. Conclusion: Suboptimal management of death data affects data accuracy. SOP creation, redesign of death certificate forms, and training for relevant staff are needed.
Co-Authors Abdul Hakim Agus Widodo Farah Naila Rahmatika Orisa Sativa Kalia Labitta Putri Alivia Lilik Afifah Untung Slamet Suharyono