The Impact of Information Technology on Administrative Service Quality in Healthcare Institutions

Authors

  • Muhammad Natsir Mallawi Sekolah Tinggi Ilmu Administrasi Yappi
  • Nurasia Natsir Sekolah Tinggi Ilmu Administrasi Yappi

DOI:

https://doi.org/10.61132/digitalinnovation.v3i2.697

Keywords:

Digital Transformation, Health Information Systems, Healthcare Administration, Hospital Management, Information Technology

Abstract

Healthcare institutions worldwide are undergoing digital transformation to improve efficiency and patient experiences. While many studies focus on clinical applications of information technology (IT), its impact on administrative service quality remains limited, even though administrative services are patients’ primary point of contact. This study examines how IT adoption influences administrative service quality in Indonesian healthcare institutions, focusing on relationships between IT implementation levels and service quality dimensions, as well as mediating and moderating factors. Using a mixed-methods sequential explanatory design, quantitative data were collected from 385 patients and 127 administrative staff across 24 hospitals, supported by 32 in-depth interviews. Service quality was measured using SERVQUAL dimensions: tangibles, reliability, responsiveness, assurance, and empathy. The findings show significant positive relationships between IT adoption and all service quality dimensions, with the strongest effects on reliability and responsiveness. Staff digital competency and system usability partially mediate these relationships, while implementation quality acts as a key moderating factor. Well-implemented systems yield substantially higher service improvements than poorly implemented ones. Most patients prefer digital services when functioning properly, although many report frustration when systems fail or staff lack competency. This study highlights the importance of effective IT implementation to enhance administrative service quality and offers practical insights for healthcare management.

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References

Aggelidis, V. P., & Chatzoglou, P. D. (2012). Hospital information systems: Measuring end-user computing satisfaction (EUCS). Journal of Biomedical Informatics, 45(3), 566–579. https://doi.org/10.1016/j.jbi.2012.02.009

Al-Abri, R., & Al-Balushi, A. (2014). Patient satisfaction survey as a tool towards quality improvement. Oman Medical Journal, 29(1), 3–7. https://doi.org/10.5001/omj.2014.02

Ash, J. S., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: The nature of patient care information system-related errors. Journal of the American Medical Informatics Association, 11(2), 104–112. https://doi.org/10.1197/jamia.M1471

Babakus, E., & Mangold, W. G. (1992). Adapting the SERVQUAL scale to hospital services: An empirical investigation. Health Services Research, 26(6), 767–786.

Boonstra, A., & Broekhuis, M. (2010). Barriers to the acceptance of electronic medical records by physicians: A literature review and an organizational perspective. Journal of Medical Systems, 34(4), 565–575. https://doi.org/10.1007/s10916-009-9278-4

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Brooke, J. (1996). SUS: A “quick and dirty” usability scale. In P. W. Jordan, B. Thomas, B. A. Weerdmeester, & I. L. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). Taylor & Francis.

Buntin, M. B., Burke, M. F., Hoaglin, M. C., & Blumenthal, D. (2011). The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464–471. https://doi.org/10.1377/hlthaff.2011.0178

Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006). Systematic review: Impact of health information technology on quality, efficiency, and costs of medical care. Annals of Internal Medicine, 144(10), 742–752. https://doi.org/10.7326/0003-4819-144-10-200605160-00125

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

Fung, C. H., Elliott, M. N., Hays, R. D., Kahn, K. L., Kanouse, D. E., McGlynn, E. A., Spranca, M. D., & Shekelle, P. G. (2010). How is patient-centered care associated with patient satisfaction? Journal of General Internal Medicine, 25(6), 145–158. https://doi.org/10.1177/107755871016003004

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). Guilford Press.

Koppel, R., Metlay, J. P., Cohen, A., Abaluck, B., Localio, A. R., Kimmel, S. E., & Strom, B. L. (2005). Role of computerized physician order entry systems in facilitating medication errors. JAMA, 293(10), 1197–1203. https://doi.org/10.1001/jama.293.10.1197

Ministry of Health of Indonesia. (2023). Indonesia health profile 2022. Ministry of Health.

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.

Qian, S., Yu, P., & Hailey, D. M. (2019). The impact of electronic health records on time efficiency of physicians and nurses: A systematic review. Journal of the American Medical Informatics Association, 22(1), 237–244. https://doi.org/10.1093/jamia/ocu026

Ramsaran-Fowdar, R. R. (2008). The relative importance of service dimensions in a healthcare setting. International Journal of Health Care Quality Assurance, 21(1), 104–124. https://doi.org/10.1108/09526860810841192

Shortliffe, E. H., & Cimino, J. J. (Eds.). (2014). Biomedical informatics: Computer applications in health care and biomedicine (4th ed.). Springer. https://doi.org/10.1007/978-1-4471-4474-8

Sitzia, J., & Wood, N. (1997). Patient satisfaction: A review of issues and concepts. Social Science & Medicine, 45(12), 1829–1843. https://doi.org/10.1016/S0277-9536(97)00128-7

Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17. https://doi.org/10.1509/jmkg.68.1.1.24036

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Ware, J. E., Snyder, M. K., Wright, W. R., & Davies, A. R. (1983). Defining and measuring patient satisfaction with medical care. Evaluation and Program Planning, 6(3–4), 247–263. https://doi.org/10.1016/0149-7189(83)90005-8

World Health Organization. (2021). Global strategy on digital health 2020–2025. WHO.

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Published

2026-04-08

How to Cite

Muhammad Natsir Mallawi, & Nurasia Natsir. (2026). The Impact of Information Technology on Administrative Service Quality in Healthcare Institutions. Digital Innovation : International Journal of Management, 3(2), 38–45. https://doi.org/10.61132/digitalinnovation.v3i2.697