https://journal.achsm.org.au/index.php/achsm/issue/feedAsia Pacific Journal of Health Management2026-05-14T12:34:59+00:00Yaping Liuyaping.liu@achsm.org.auOpen Journal Systems<p>The Asia Pacific Journal of Health Management (APJHM) is a peer-reviewed journal for managers of organisations offering healthcare and aged care services. The APJHM aims to promote the discipline of health management throughout the region by facilitating the transfer of knowledge among readers by widening the evidence base for management practices.<br /><br />*Print 1(1);2006 - 5(1);2010 Online 4(2);2009 - current<br />*ISSN 2204-3136 (online); ISSN 1833-3818 (print)</p>https://journal.achsm.org.au/index.php/achsm/article/view/6094Readiness for Artificial Intelligence in Hospital Management: Determinants from a Cross-Sectional Survey of Healthcare Professionals2026-05-14T12:34:59+00:00Daniela Milanova-Ilievadaniela.milanova@mu-plovdiv.bg<p><strong>Objective: </strong>To investigate factors associated with healthcare professionals’ expectations regarding the future role of artificial intelligence (AI) in hospital management.</p> <p><strong>Design: </strong>Cross-sectional quantitative survey study.</p> <p><strong>Setting: </strong>Hospital healthcare professionals working in clinical and administrative settings.</p> <p><strong>Main outcome measures: </strong>Expectations regarding the future role of AI in hospital management and factors associated with stronger expectations toward AI integration.</p> <p><strong>Results: </strong>A total of 232 healthcare professionals participated in the study. The questionnaire assessed professional characteristics, use of digital systems, perceived institutional digitalization, perceived impact of digital technologies, familiarity with AI applications, and expectations regarding future AI integration. Univariable and multivariable logistic regression analyses were performed. Greater familiarity with AI applications was independently associated with stronger expectations regarding the future role of AI in hospital management, whereas lower familiarity was associated with significantly reduced odds of positive expectations. Broader indicators of digitalization, including perceived institutional digitalization, workflow facilitation, efficiency, and quality improvement, did not demonstrate independent associations after adjustment. The regression model demonstrated acceptable discriminatory ability (AUC = 0.695) and good calibration according to the Hosmer–Lemeshow goodness-of-fit test (p = 0.911). Findings from ordinal logistic regression analyses were consistent with the binary regression model.</p> <p><strong>Conclusions: </strong>Readiness for AI integration in hospital management appears to depend primarily on AI-specific familiarity rather than on general digitalization alone. These findings highlight the importance of targeted educational strategies and AI-focused competency development among healthcare professionals to support successful implementation of AI technologies in healthcare organizations.</p>Copyright (c) https://journal.achsm.org.au/index.php/achsm/article/view/6093Medical Record Documentation Quality and National Health Insurance Claim Payments: A Mixed-Methods Study2026-05-14T09:06:18+00:00DINA RAHMANdr.dinarahman1911@gmail.comDanial Rasyiddanial.rasyid@yarsi.ac.idDicky Budimandickybudiman71@gmail.com<p><strong>ABSTRACT</strong></p> <p><strong>Objective: </strong>To examine the association between medical record documentation quality and BPJS claim payment smoothness in the inpatient unit of an Indonesian district public hospital.</p> <p><strong>Design: </strong>A sequential explanatory mixed-methods study was conducted. Quantitative data were analyzed using descriptive statistics, Pearson correlation, and moderated regression analysis. Qualitative data were obtained through observation, interviews, focus group discussions, and document review.</p> <p><strong>Setting: </strong>The inpatient unit of a district public hospital in Central Kalimantan, Indonesia.</p> <p><strong>Main outcome measures: </strong>Medical record documentation quality, assessed through completeness, accuracy, consistency, and timeliness; and BPJS claim payment smoothness, assessed through paid, pending, returned, audited, and disputed claims.</p> <p><strong>Results: </strong>Of 331 eligible inpatient BPJS medical records and claim files, 323 were included in the final analysis after excluding eight outliers. Documentation quality and claim payment smoothness were generally classified as good, although timeliness of medical record completion and pending claims remained key issues. Documentation quality was significantly associated with claim payment smoothness (p < 0.001), and the moderated regression model showed a strong model fit (R = 0.944; R² = 0.892). Qualitative findings supported these results, showing that delayed documentation, coding discrepancies, workload, submission deadlines, and differing interpretations with BPJS verifiers contributed to claim delays.</p> <p><strong>Conclusions: </strong>Medical record documentation quality is strongly associated with BPJS claim payment smoothness. Timely completion of medical resumes is a key managerial priority to reduce pending claims and improve hospital reimbursement performance.</p> <p><strong>KEYWORDS: </strong>medical record documentation, BPJS claims, national health insurance, hospital reimbursement, mixed methods</p>Copyright (c)