Skip to main content Skip to main navigation menu Skip to site footer

Role of leadership management and organizational work culture on electronic medical records in the Indonesian health service sector

  • Eka Wilda Faida ,
  • Titin Wahyuni ,
  • Lilis Masyfufah ,
  • Alfina Aisatus Saadah ,
  • Diah Wijayanti Sutha ,
  • Anif Prasetyorini ,


Introduction An international trend in health care is the use of information technology, particularly electronic medical records (EMR). Electronic medical records are increasingly being filled out incorrectly, which does not reflect a standard implementation. In the meantime, the number of pandemic victims increases each month. The goal of this study was to examine the importance of human resources, infrastructure, leadership, governance, and organizational work culture in the implementation of electronic medical records.

Methods: This study was a cross-sectional study utilizing a quantitative descriptive methodology and was statistically evaluated using the Partial Least Square technique (PLS), a part of variant-based Structural Equation Modeling (SEM). Convergent and discriminant validity of the indicators and composite reliability for indicator blocks were used to evaluate the measurement or Outer Model with reflecting indicators.

Results: The findings showed that positive EMR readiness was primarily associated with male officers who were 36 to 42 years old, had a university degree, and had been employed for more than five years. T-statistic values for organizational work culture and leadership management are 3.077 and 2.218, respectively, with means greater than 1.96. Meanwhile, the means for infrastructure and human resources are 1.96 and 0.942, respectively.

Conclusion: Organizational work culture and leadership management have a significant effect on EMR readiness in hospitals compared to human resources and infrastructure with opposite results.


  1. Ayatollahi H, Bath PA, Goodacre S. Factors influencing the use of IT in the emergency department: A qualitative study. Health Informatics J. 2010;16(3):189–200. DOI:
  2. Erawantini F, Farlinda S, Suryana AL. Design electronic medical records with clinical decision support system (CDSS) to prevent interaction of drug content in outpatient department. Bali Med J. 2022;11(2):651–9. DOI:
  3. Kementerian Kesehatan Republik Indonesia. Keputusan Menteri Kesehatan Republik Indonesia Nomor HK.01.07/Menkes/1559/2022 Tentang Penerapan Sistem Pemerintahan Berbasis Elektronik Bidang Kesehatan Dan Strategi Transformasi Digital Kesehatan. 2022;96. Available from:
  4. Giaedi T. The Impact of Electronic Medical records on improvement of health care delivery. Libyan J Med. 2008;3(1):4–4. DOI:
  5. Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, et al. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff. 2005;24(5):1103–17. DOI:
  6. Al-Azmi SF, Al-Enezi N, Chowdhury RI. Users’ attitudes to an electronic medical record system and its correlates: A multivariate analysis. Heal Inf Manag J. 2009;38(2):33–40. DOI:
  7. Boonstra A, Broekhuis M. Barriers to accept EMR. BMC Health Serv Res. 2010;10(231). DOI:
  8. Ghazisaeidi M, Ahmadi M, Sadoughi F, Safdari R. An assessment of readiness for pre-implementation of electronic health record in Iran: A practical approach to implementation in general and teaching hospitals. Acta Med Iran. 2014;52(7):532–44.
  9. Ajami S, Ketabi S, Isfahani S, Heidari A. Readiness Assessment of Electronic Health Records Implementation. Acta Inform Medica. 2011;19(4):224. DOI:
  10. KP. Kaiser Permanente : The Electronic Health Record Journey. 2019;(July):1–4.
  11. Carayon P, Smith P, Hundt AS, Kuruchittham V, Li Q. Implementation of an electronic health records system in a small clinic: The viewpoint of clinic staff. Behav Inf Technol. 2009;28(1):5–20. DOI:
  12. Lium JT. Jan Tore Lium Use of Electronic Medical Records and the road towards paperless hospitals in Norway : A socio-technical perspective [Internet]. 2007.
  13. Peek STM, Wouters EJM, van Hoof J, Luijkx KG, Boeije HR, Vrijhoef HJM. Factors influencing acceptance of technology for aging in place: A systematic review. Int J Med Inform. 2014;83(4):235–48. DOI:
  14. Biruk S, Yilma T, Andualem M, Tilahun B. Health Professionals’ readiness to implement electronic medical record system at three hospitals in Ethiopia: A cross sectional study. BMC Med Inform Decis Mak. 2014;14(1):1–8. DOI:
  15. Ali Salem Khalil Mohamed Arraid. Information needs and information seeking behaviour of Libyan doctors working in Libyan hospitals. Loughbrgh Univ Institutional Repos. 2011;350.
  16. Miller RH, Sim I. Physicians’ use of electronic medical records: Barriers and solutions. Health Aff. 2004;23(2):116–26. DOI:
  17. Ketikidis P, Dimitrovski T, Lazuras L, Bath PA. Acceptance of health information technology in health professionals: An application of the revised technology acceptance model. Health Informatics J. 2012;18(2):124–34. DOI:
  18. Venkatesh V, Thong JYL, Xu X. Unified theory of acceptance and use of technology: A synthesis and the road ahead. J Assoc Inf Syst. 2016;17(5):328–76. DOI: 10.17705/1jais.00428.

How to Cite

Faida, E. W., Titin Wahyuni, Lilis Masyfufah, Alfina Aisatus Saadah, Diah Wijayanti Sutha, & Anif Prasetyorini. (2023). Role of leadership management and organizational work culture on electronic medical records in the Indonesian health service sector. Bali Medical Journal, 12(3), 3241–3245.




Search Panel

Eka Wilda Faida
Google Scholar
BMJ Journal

Titin Wahyuni
Google Scholar
BMJ Journal

Lilis Masyfufah
Google Scholar
BMJ Journal

Alfina Aisatus Saadah
Google Scholar
BMJ Journal

Diah Wijayanti Sutha
Google Scholar
BMJ Journal

Anif Prasetyorini
Google Scholar
BMJ Journal