Assessment of digital transformation levels in hospitals: A case study of Hanoi, Vietnam


Authors

  • Dang Thi Ha VNU University of Economics and Business
  • Hoang Xuan Vinh VNU University of Economics and Business
  • Hoang Mai Huyen VNU University of Economics and Business
  • Bui Quang Phong VNU University of Economics and Business
DOI: https://doi.org/10.57110/vnu-jeb.v4i6.347

Keywords:

Digital transformation, level of digital transformation, hospital, digital transformation in hospitals

Abstract

This study assesses the level of digital transformation in hospitals in Hanoi, Vietnam, providing a comprehensive overview of the current state of digital technology adoption in healthcare. The results indicate that most hospitals are at the “Practitioner” level, reflecting progress in technology implementation but still facing many shortcomings and inconsistencies. The evaluation model is based on five key factors: “Strategy,” “Customer experience,” “Information Systems and technological infrastructure,” “People and culture,” and “Operations”. The “Strategy” factor has the greatest impact, highlighting the importance of leadership awareness, strategic integration, and investment in IT infrastructure in driving digital transformation. Following this are the factors of “Information systems and technology,” “People and culture,” “Customer experience,” and “Operations.” The study also identifies gaps in technology infrastructure and workforce training, providing solutions to improve the level of digital transformation and enhance the quality of healthcare services to meet development needs in the context of globalization.

References

Aagaard, A. (2019). Digital Business Models: Driving Transformation and Innovation. Palgrave Macmillan. https://doi.org/10.1007/978-3-319-96902-2

Ash, C., & Burn, J. (2003). A model of e-business transformation. In Proceedings of IRMA 2003: Information Technology and Organizations: Trends, Issues, Challenges, and Solutions. Philadelphia.

Balaraman, P., & Kosalram, K. (2013). E-hospital management & hospital information systems-changing trends. International Journal of Information Engineering and Electronic Business, 5(1), 50. https://doi.org/10.5815/ijieeb.2013.01.06

Bialas, C., Bechtsis, D., Aivazidou, E., Achillas, C., & Aidonis, D. (2023). Digitalization of the healthcare supply chain through the adoption of Enterprise Resource Planning (ERP) systems in hospitals: An empirical study on influencing factors and cost performance. Sustainability, 15(4), 3163. https://doi.org/10.3390/su15043163

Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. MIT Press. https://doi.org/10.7551/mitpress/9963.001.0001

Bretthauer, K. (2015). Patient-centric healthcare management in the age of analytics. Production and Operations Management, 24(10), 1673-1673. https://doi.org/10.1111/poms.12382

Bukowski, M., Farkas, R., Beyan, O., Moll, L., Hahn, H., Kiessling, F., & Schmitz-Rode, T. (2020). Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: Are we ready from an international perspective? European Radiology, 30, 5510-5524. https://doi.org/10.1007/s00330-020-06874-x

Butler, T. W., Leong, G. K., & Everett, L. N. (1996). The operations management role in hospital strategic planning. Journal of Operations Management, 14(2), 137-156. https://doi.org/10.1016/0272-6963(95)00041-0

Communist Party of Vietnam. (2017). Resolution No. 20-NQ/TW of the 6th Plenary of the 12th Central Committee on strengthening the protection, care, and improvement of people’s health in the new situation. Hanoi.

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(1), 94-98. https://doi.org/10.7861/futurehosp.6-2-94

Dörner, O., & Rundel, S. (2021). Organizational learning and digital transformation: A theoretical framework. In D. Ifenthaler, S. Hofhues, M. Egloffstein, & C. Helbig (Eds.), Digital Transformation of Learning Organizations (pp. 61-75). Springer. https://doi.org/10.1007/978-3-030-55878-9_4

Feldman, S. S., Buchalter, S., & Hayes, L. W. (2018). Health information technology in healthcare quality and patient safety: A literature review. JMIR Medical Informatics, 6(2), e10264. https://doi.org/10.2196/10264

Gjellebæk, C., Svensson, A., Bjørkquist, C., Fladeby, N., & Grundén, K. (2020). Management challenges for future digitalization of healthcare services. Futures, 124, 102636. https://doi.org/10.1016/j.futures.2020.102636

Guha, S., & Kumar, S. (2018). Emergence of big data research in operations management, information systems, and healthcare: Past contributions and future roadmap. Production and Operations Management, 27(9), 1724-1735. https://doi.org/10.1111/poms.12833

Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K. S. (2015). The Internet of Things for healthcare: A comprehensive survey. IEEE Access, 3, 678-708. https://doi.org/10.1109/ACCESS.2015.2437951

Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review and Deloitte University Press, 6(4), 1-25. https://sloanreview.mit.edu/article/strategy-not-technology-drives-digital-transformation/

Kitsios, F., & Kamariotou, M. (2020). Mapping new service development: A review and synthesis of literature. Services Industries Journal, 40(9-10), 682-704. https://doi.org/10.1080/02642069.2018.1561876

Koch, C., Hansen, G. K., & Jacobsen, K. (2019). Missed opportunities: Two case studies of digitalization of FM in hospitals. Facilities, 37(9), 381-394. https://doi.org/10.1108/F-01-2018-0014

Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N., & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. International Journal of Information Management, 63, 102466. https://doi.org/10.1016/j.ijinfomgt.2021.102466

Kruse, C. S., Krowski, N., Rodriguez, B., Tran, L., Vela, J., & Brooks, M. (2017). Telehealth and patient satisfaction: A systematic review and narrative analysis. BMJ Open, 7(8), e016242. https://doi.org/10.1136/bmjopen-2017-016242

Li, L. X., Benton, W. C., & Leong, G. K. (2002). The impact of strategic operations management decisions on community hospital performance. Journal of Operations Management, 20(4), 389-408. https://doi.org/10.1016/S0272-6963(02)00002-5

Liu, W., Zhang, W., Dutta, B., Wu, Z., & Goh, M. (2020). Digital twinning for productivity improvement opportunities with robotic process automation: Case of greenfield hospital. International Journal of Mechanical Engineering and Robotics Research, 9(2), 258-263. https://doi.org/10.18178/ijmerr.9.2.258-263

Maki, O., Alshaikhli, M., Gunduz, M., Naji, K. K., & Abdulwahed, M. (2022). Development of digitalization roadmap for healthcare facility management. IEEE Access, 10, 14450-14462. https://doi.org/10.1109/ACCESS.2022.3146341

Mbunge, E., Muchemwa, B., & Batani, J. (2021). Sensors and healthcare 5.0: Transformative shift in virtual care through emerging digital health technologies. Global Health Journal, 5(6), 169-177. https://doi.org/10.1016/j.glohj.2021.11.008

McLeod, A., & Dolezel, D. (2018). Cyber-analytics: Modeling factors associated with healthcare data breaches. Healthcare Management Review, 43(1), 31-41. https://doi.org/10.1016/j.dss.2018.02.007

Merdin, D., Ersöz, F., & Taskin, H. (2022). Digital transformation: Digital maturity model for Turkish businesses. Gazi University Journal of Science, 36(1). https://doi.org/10.35378/gujs.982772

Ministry of Information and Communications. (2020). National digital transformation program to 2025, with orientation to 2030. Hanoi.

Neylon, C., & Wu, S. (2009). Open science: An overview. Journal of Science Communication, 14(04), 171-173. https://doi.org/10.22323/2.14040302

OECD. (2015). Making Open Science a Reality. OECD Publishing.

OECD. (2022). Digital Transformation Maturity Model. OECD Publishing.

Pianykh, O. S., Guitron, S., Parke, D., Zhang, C., Pandharipande, P., Brink, J., & Rosenthal, D. (2020). Improving healthcare operations management with machine learning. Nature Machine Intelligence, 2(5), 266-273. https://doi.org/10.1038/s42256-020-0176-3

Prime Minister. (2021). Decision No. 1619/QD-TTg dated September 24, 2021 on the establishment of the National Committee on Digital Transformation. Hanoi.

Rossmann, A. (2018). Digital maturity: Conceptualization and measurement model. In Proceedings of the Thirty-Ninth International Conference on Information Systems, San Francisco, 2, 13-16.

Tao, C. (2022). Can digital transformation promote enterprise performance? From the perspective of public policy and innovation. Journal of Innovation & Knowledge, 7(3), 100198. https://doi.org/10.1016/j.jik.2022.100198

Ulas, D. M. (2019). Digital transformation process and SMEs. Procedia Computer Science, 158, 662-671. https://doi.org/10.1016/j.procs.2019.09.101

Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52(4), 161-166. https://doi.org/10.1016/j.procir.2016.07.040

Sharma, L., Chandrasekaran, A., Boyer, K. K., & McDermott, C. M. (2016). The impact of health information technology bundles on hospital performance: An econometric study. Journal of Operations Management, 2014(1), 25-41. https://doi.org/10.5465/AMBPP.2014.84

Sicari, S., Rizzardi, A., Grieco, L. A., & Coen-Porisini, A. (2015). Security, privacy, and trust in Internet of Things: The road ahead. Computer Networks, 76, 15. https://doi.org/10.1016/j.comnet.2014.11.008

Tenopir, C., Allard, S., Douglass, K., Aydinoglu, A. U., Wu, L., Read, E., ... & King, D. W. (2011). Data sharing by scientists: Practices and perceptions. PLoS ONE, 6(6), e21101. https://doi.org/10.1371/journal.pone.0021101

The Politburo. (2019). Resolution No. 52-NQ/TW dated September 27, 2019, on several policies for proactive participation in the Fourth Industrial Revolution. Hanoi.

Thordsen, T., Murawski, M., & Bick, M. (2020). How to measure digitalization? A critical evaluation of digital maturity models. In Lecture Notes in Computer Science (pp. 358-369). https://doi.org/10.1007/978-3-030-44999-5_30

Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. https://doi.org/10.1038/s41591-018-0300-7

Tornatzky, L. G., & Fleischer, M. (1990). The Processes of Technological Innovation. Lexington Books.

Trenerry, B. (2021). Preparing workplaces for digital transformation: An integrative review and framework of multi-level factors. Frontiers in Psychology, 12, 620-766. https://doi.org/10.3389/fpsyg.2021.620766

Wang, Q., Su, M., Zhang, M., & Li, R. (2021). Integrating digital technologies and public health to fight Covid-19 pandemic: Key technologies, applications, challenges and outlook of digital healthcare. International Journal of Environmental Research and Public Health, 18(11), 6053. https://doi.org/10.3390/ijerph18116053

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25-12-2024

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Dang Thi Ha, Hoang Xuan Vinh, Hoang Mai Huyen, & Bui Quang Phong. (2024). Assessment of digital transformation levels in hospitals: A case study of Hanoi, Vietnam. VNU University of Economics and Business, 4(6), 32. https://doi.org/10.57110/vnu-jeb.v4i6.347

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