Hospital workflow compliance and timeliness of inpatient medical record return: Evidence from a cross-sectional study in indonesia

Authors

  • Nelly Mandasari Department of Public Health, Universitas Tamalatea Makassar, South Sulawesi, Indonesia, Indonesia

DOI:

https://doi.org/10.61099/jih.v2i4.556

Keywords:

health personnel, medical records, patient discharge, standard operating procedures, workload

Abstract

Introduction: Timely return of inpatient medical records is essential for continuity of care, hospital reporting, coding, insurance claims, and administrative efficiency. This study aimed to examine factors associated with timely inpatient medical-record return at Andi Makkasau Regional Hospital, Parepare, Indonesia.

Research Methodology: A quantitative cross-sectional study was conducted among 40 nurses working afternoon and night shifts, selected using total sampling. Data were collected using questionnaires and observation checklists. Staff attitude, workload, and compliance with standard operating procedures (SOPs) were examined in relation to timely record return using Chi-square analysis.

Results: Of 40 respondents, 16 (40.0%) returned inpatient medical records on time, whereas 24 (60.0%) did not. Staff attitude was not significantly associated with timeliness (*p*=0.638), nor was workload (*p*=0.681). In contrast, SOP compliance showed a significant association (*p*<0.001). Among respondents with good SOP compliance, 14 of 21 returned records on time, compared with 2 of 19 among those with poor compliance, corresponding to a calculated crude OR of 17.00 (95% CI: 3.03–95.26).

Conclusion: SOP compliance was the principal factor associated with timely inpatient medical-record return. Strengthening procedural adherence, routine monitoring, and documentation accountability may improve medical-record workflow and hospital service efficiency.

Keywords: health personnel; medical records; patient discharge; standard operating procedures; workload

Downloads

Download data is not yet available.

References

1. Andina ME, Nelde A, Nolte CH, et al. Datawarehouse-enabled quality control of atrial fibrillation detection in the stroke unit setting. Heliyon. 2023;9(8):e18432. doi:10.1016/j.heliyon.2023.e18432

2. Attari MYN, Ghadim AA, Ala A, Simic V, Tinka D, Pamucar D. Application of healthcare data mining techniques to planning for nursing length of stay in surgical departments. Syst Soft Comput. 2026;9:200535. doi:10.1016/j.sasc.2026.200535

3. Berardinelli A, Howell K, Allen M, Engler L, Rajbhandari P, Goldstein D. Improved Documentation of a Pediatric Phase II Postanesthesia Discharge Scoring Tool: A Quality Improvement Project. J PeriAnesthesia Nurs. 2026;41(1):10-17. doi:10.1016/j.jopan.2025.05.009

4. Cesare M, Nurchis MC, D’Agostino F, et al. Variability of nursing complexity within medically homogeneous diagnosis-related groups: A retrospective analysis of pediatric electronic health records. J Pediatr Nurs. 2026;90:418-428. doi:10.1016/j.pedn.2026.07.002

5. Clipper B. Evolving Virtual Nursing Care Models. Nurse Lead. 2025;23(6):102536. doi:10.1016/j.mnl.2025.102536

6. Fang L, Chen L, Wu B, Xu Y, Chen L. Using Clinical-based Discharge Criteria to Discharge Patients After Endoscopy Procedures Under Drug-induced Intravenous Sedation in the Outpatient Care Unit: An Observational Study. J PeriAnesthesia Nurs. 2024;39(5):859-866.e1. doi:10.1016/j.jopan.2023.12.023

7. Gorell K, Stephenson C, Smyth A, et al. “This was a good transition”: Piloting a standardised, comprehensive discharge documentation and medication package for hospital-to-nursing home. Geriatr Nurs (Minneap). 2026;73:104206. doi:10.1016/j.gerinurse.2026.104206

8. Hakim CB, Pornomo J, Aryani IN, Wijayanti TD. Evaluation of electronic medical records risk management in Kudus hospitals: A comparative qualitative study. Intell Hosp. 2026;2(2):100056. doi:10.1016/j.inhs.2026.100056

9. Garg R, Talwar Y, Garg N. Application of lean management after audit of Medical Records Department in a COVID19 dedicated center during the COVID pandemic. Med J Armed Forces India. 2024;80(1):91-97. doi:10.1016/j.mjafi.2022.04.015

10. Gorbenko K, Bailon M, Randall J, et al. Virtual Nursing Pilot in the Inpatient Setting: Qualitative Evaluation. JMIR Nurs. 2026;9:e76994-e76994. doi:10.2196/76994

11. Han D, Clarke-Deelder E, McConnell M. Workload and team performance in health care: Evidence from Kenya. J Health Econ. 2026;107:103138. doi:10.1016/j.jhealeco.2026.103138

12. Huang AP-H, Lee Y-C, Wu M-S. Quality and resilience of health care from a medical center perspective. J Formos Med Assoc. 2024;123:S194-S199. doi:10.1016/j.jfma.2024.09.014

13. Kwon MS, KIM MJA, Baek MS, Jang JH, Heo YJ. Post-discharge experiences with home-based medical aid services among medical aid recipients: a hermeneutic phenomenological study. Asian Nurs Res (Korean Soc Nurs Sci). Published online August 2026. doi:10.1016/j.anr.2026.08.003

14. Nielsen MS, Jepsen DB, Frihagen F, Viberg BL, Jensen CM. Implementing an early supported discharge intervention to nursing homes and respite care centers after hip fracture: A qualitative study of staff experiences and field observations. Int J Orthop Trauma Nurs. 2026;62:101301. doi:10.1016/j.ijotn.2026.101301

15. Nurfazirah N, Ihsan Kamaruddin M, Andre Mangaya Takke J. Professional self-awareness and medical record data integrity: A phenomenological study among health information management personnel in indonesian primary care. J Interdiscip Heal. 2026;2(3):136-151. doi:10.61099/jih.v2i3.485

16. Raghu R, Nalaie K, Ayala I, et al. Harnessing the Power of Technology to Transform Delirium Severity Measurement in the Intensive Care Unit: Protocol for a Prospective Cohort Study. JMIR Res Protoc. 2025;14:e62912. doi:10.2196/62912

17. Rahmawati S, Setyawati A, Tahir T. The experience of infection prevention and control nurse (IPCN) in conducting post-discharge surveillance (PDS) of surgical site infections (SSI): A qualitative study. Infect Dis Heal. 2024;29(4):218-226. doi:10.1016/j.idh.2024.05.001

18. Sadel J, Grant NV, Burkhardt H, Kunze C. Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study. JMIR Form Res. 2026;10:e81824-e81824. doi:10.2196/81824

19. Saul T, Gallegos C, Husa R, et al. Early implementation study of a co-caring and virtual nursing model. Nurs Outlook. 2026;74(1):102613. doi:10.1016/j.outlook.2025.102613

20. Skowronsky C, Osborne K, Ball T, et al. Predicting aggressive or violent patient behavior on acute care medical-surgical inpatient units. Adv Medical-Surgical Nurs. 2026;2(2):100055. doi:10.1016/j.amsn.2026.100055

21. Suprapto, Yuriatson, Menga MK, et al. Strategies to improve health service quality in Indonesia: a qualitative study. BMC Health Serv Res. Published online June 18, 2026. doi:10.1186/s12913-026-14221-x

22. Spierings J, Willinge G, Kokke M, et al. Health Care Professionals’ Experiences With a Mobile Self-Care Solution for Low Complex Orthopedic Injuries: Mixed Methods Study. JMIR mHealth uHealth. 2024;12:e51510. doi:10.2196/51510

23. Strumann C, Pfau L, Wahle L, Schreiber R, Steinhäuser J. Designing and Implementation of a Digitalized Intersectoral Discharge Management System and Its Effect on Readmissions: Mixed Methods Approach. J Med Internet Res. 2024;26:e47133. doi:10.2196/47133

24. Suprapto S. Analysis of nursing workforce policy impacts on healthcare quality and equity using a prospective cohort study design. JAKESPOL J Heal Policy Anal. 2026;1(2):39-47. doi:10.61099/jakespol.v1i2.382

25. Tian Y, Shen Z, Zhao Y, et al. Design of an emergency medical information system for mass gatherings. Heliyon. 2024;10(20):e39061. doi:10.1016/j.heliyon.2024.e39061

26. Torroba-Sanz B, De Lorenzo-Pinto A, Giménez-Manzorro Á, et al. PharmaCenter: Impact of post-discharge pharmaceutical carea consultation on medication-related problems in the emergenc department: A comprehensive analysis. Res Soc Adm Pharm. 2026;22(2):311-316. doi:10.1016/j.sapharm.2025.10.010

27. Ware A, Blumke T, Hoover P, Arreola D. Calculating Optimal Patient to Nursing Capacity: Comparative Analysis of Traditional and New Methods. JMIR Nurs. 2024;7:e59619-e59619. doi:10.2196/59619

28. Warwick H, Salehi N, Kugelman DN, Yakkanti R, Krueger CA, Courtney PM. The Shift to Outpatient Total Hip and Knee Arthroplasty: Perioperative Work Has Not Changed. J Arthroplasty. 2026;41(9):2583-2587. doi:10.1016/j.arth.2025.12.035

Cover Image

Downloads

Published

2026-11-01

How to Cite

Nelly Mandasari. (2026). Hospital workflow compliance and timeliness of inpatient medical record return: Evidence from a cross-sectional study in indonesia. Journal Interdisciplinary Health, 2(4), 205–215. https://doi.org/10.61099/jih.v2i4.556

Citation Check

Similar Articles

<< < 1 2 3 4 

You may also start an advanced similarity search for this article.