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Journal : Science Midwifery

Evaluating electronic medical records in inpatient psychiatric services using the PIECES framework Mayasqa, Nur Aini; Pamungkas, Canggih Ajika
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1898

Abstract

This study evaluated the implementation of Electronic Medical Records (EMR) in inpatient psychiatric services at RSJ Mutiara Sukma using the PIECES framework. Employing a qualitative approach, data were collected through in-depth interviews and observations involving twelve informants from various healthcare professions. Thematic analysis identified systemic challenges across six domains: performance, information, economy, control, efficiency, and service. Key issues included slow system response times, fragmented data presentation, dual documentation, limited audit trails, inefficient workflows, and gaps in user training. Despite having an EMR infrastructure, its utilization remained suboptimal due to usability and integration barriers. The study underscores the need for user-centered design, continuous training, and institutional support to optimize EMR systems in psychiatric settings. These insights are essential for enhancing digital health strategies in mental health care.
Evaluation of supporting document completeness in outpatient claims to prevent BPJS claim returns at charitas Hospital Palembang Miliana, Elta; Pamungkas, Canggih Ajika
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1900

Abstract

This study examined the completeness of outpatient claim documents and how it affected the return of claims by the national health insurance agency at Charitas Hospital Palembang. Incomplete documents often delay claim verification and lead to financial loss for healthcare providers. The research used a quantitative approach and analyzed 206 outpatient claim files submitted between February and June 2025. Data were collected through observation checklists and structured questionnaires distributed to administrative staff. The findings revealed that most returned claims were caused by missing laboratory or radiology results, incomplete referral documents, and inconsistent medical records. Statistical analysis showed a strong correlation between document completeness and the frequency of returned claims. Factors such as coordination between hospital units, staff competence, and the effectiveness of hospital information systems were found to significantly influence the completeness of claim files. The study concluded that improving internal communication, enhancing staff training, and optimizing electronic record systems can reduce the risk of claim rejection and improve financial sustainability.