Governance of Transformative Value‐Based Healthcare Services in the Digital Era — A Policy and Research Agenda
Open accessAbstract
Governance of healthcare services is worldwide predominantly pursued in competitive quality-sensitive markets, which are nowadays drastically influenced by strong digitalization trends. This paper explores a value-based approach to enhancing healthcare delivery through the integration of emerging advanced digital technology access and the use of customized strategic decision and policy frameworks. The study begins by addressing the urgent policy and societal need for value-based healthcare systems, particularly in response to global or urgent health crises like the COVID-19 pandemic. The novel integrated healthcare intelligence framework, proposed in our study, aims to enhance healthcare management by leveraging cross-cutting digital approaches, strategic performance management, and big data analytics. This study addresses, in a systematic way, a collection of three elected key contextual conditions, including a mind mapping presentation, smart wellbeing conditions, and institutional corporate challenges. Each section in this paper examines consistently various specific operational strategies and digital technologies aimed at improving healthcare policy outcomes and setting a global benchmark for service innovation in the healthcare sector. The study presents at the end the contours of an integrated digitally-inspired early warning system for quality enhancement in the healthcare sector. The concluding section proposes operational anchor points for innovative healthcare service delivery, showcasing sustainable and equitable healthcare solutions through illustrative AI-driven pilot projects, practical capacity building, and public health engagement initiatives.
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Governance frameworks identify big data analytics as essential for improving outcomes in resource-constrained environments.
“Governance frameworks identify big data analytics as essential for improving outcomes in resource‐constrained environments [13].”
From Artificial Intelligence and Machine Learning for Identifying Social Determinants of Health in Low‐Income Populations Within United States Health Systems: A Scoping Review (2026) · cites this paper as [13]
Section 6 (Lessons and guidelines for policy; page unavailable) calls a framework incorporating analytics of vast healthcare datasets essential to improving healthcare decision-making and delivery. Section 4.2 (Research challenges; page unavailable) links data analytics to better resource use and clinical outcomes. Neither passage specifically addresses resource-constrained environments, so that qualification is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measuredGovernance frameworks for digital healthcare integrate big data analytics with value-based care principles to protect low-income populations during health crises.
“Governance frameworks for digital healthcare integrate big data analytics with value‐based care principles to protect low‐income populations during health crises [13].”
From Artificial Intelligence and Machine Learning for Identifying Social Determinants of Health in Low‐Income Populations Within United States Health Systems: A Scoping Review (2026) · cites this paper as [13]
The Abstract proposes a value-based healthcare framework using big data analytics in response to crises such as COVID-19. The Introduction says the pandemic disproportionately affected vulnerable and underserved communities and calls for more equitable, information-driven care. Neither passage specifically identifies low-income populations or establishes that the proposed framework protects them during crises. (LLM, conf=0.86)
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Research works printed but not linked: 7
- Balajee, A., Salyer, S.J., Greene-Cramer, B., Sadek, M. and Mounts, A.W., 'The Practice of Event-Based Surveillance: Concept and Methods', 2021, Global Security: Health, Science and Policy, vol. 6, no. 1, pp. 1-9, DOI: 10.1080/23779497.2020.1848444. · DOI
- Ferrinho, P., Daniel-Ribeiro, C.T., Ferrinho, R. and Fronteira, I., 'Building-Blocks to Develop One Health Systems', 2023, One Health, vol. 17, art. no. 100624, DOI: 10.1016/j.onehlt.2 023.100624. · DOI
- Morr, C., Ozdemir, D., Asdaah, Y. et al., 'AI-Based Epidemic and Pandemic Early Warning Systems: A Systematic Scoping Review', 2024, Health Informatics Journal, vol. 30, no. 3, DOI: 10.1177/14604582241275. · DOI
- O'Shea, J., 'Digital Disease Detection: A Systematic Review of Event-Based Internet Biosurveillance Systems', 2017, International Journal of Medical Informatics, vol. 101, pp. 15-22, DOI: 10.1016/j.ijmedinf.2017.01.019. · DOI
- Porter, M.E. and Lee, T.H., 'The Strategy that Will Fix Health Care', 2013, Harvard Business Review, vol. 91, no. 10, pp. 50-70.
- Porter, M.E. and Teisberg, E.O., Redefining Health Care: Creating Value-Based Competition on Results, Harvard Business School Press, 2006.
- Reddy, S., Fox, J. and Purohit, M.P., 'Artificial Intelligence-Enabled Healthcare Delivery', 2018, Journal of the Royal Society of Medicine, vol. 112, no. 1, pp. 22-28, DOI: 10.1177/014 10768188155. · DOI
Cited by
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Razzano, A. V. (2026) · Health Science Reports · doi:10.1002/hsr2.73083
- Authors
- Department of Information Science, O. U., BAGHERI, S., KOURTIT, K., Management Department, O. U., NIJKAMP, P., & Erasmus University Rotterdam, R.
- Affiliations
- Open University of the Netherlands (NL)
- Erasmus University Rotterdam (NL)
- Venue
- Transylvanian Review of Administrative Sciences
- Publisher
- Babes-Bolyai University Cluj-Napoca
- Published
- 2025-12-16
- Issue
- 2025 Special Issue
- Pages
- 5-21
- ISSN
- 1842-2845 (ISSN-L)
- 2247-8310
- OpenAlex
- W4417511992
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Transylvanian Review of Administrative Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace (Open University in the Netherlands) (submittedVersion, other-oa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Healthcare Systems and Practices
- Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
- Health Sciences › Health Professions › General Health Professions › Health Services Management and Policy
- Keywords
- value-based care, health care governance, digitalization of healthcare, healthcare policy, big data analytics, strategic performance management, early warning systems, quality of care, COVID-19 pandemic, health equity, capacity building, public health engagement
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