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Lopes, M. A., Martins, H. & Correia, T. (2024). Artificial intelligence and the future in health policy, planning and management. International Journal of Health Planning and Management. 39 (1), 3-8

M. A. Lopes et al.,  "Artificial intelligence and the future in health policy, planning and management", in Int. Journal of Health Planning and Management, vol. 39, no. 1, pp. 3-8, 2024

@null{lopes2024_1782872950861,
	year = "2024",
	url = "https://onlinelibrary.wiley.com/journal/10991751"
}

TY  - GEN
TI  - Artificial intelligence and the future in health policy, planning and management
T2  - International Journal of Health Planning and Management
VL  - 39
AU  - Lopes, M. A.
AU  - Martins, H.
AU  - Correia, T.
PY  - 2024
SP  - 3-8
SN  - 0749-6753
DO  - 10.1002/hpm.3709
UR  - https://onlinelibrary.wiley.com/journal/10991751
AB  - Acknowledging the advantages and risks of Artificial Intelligence (AI) in health is necessary to make effective and timely AI-based digital solutions available to policymakers and financers so more lives can be saved, quality of care improved, and an exhausted and shrinking workforce relieved.
Given the significant amount of funding, data integration and societal mobilisation AI calls for, political leadership is as needed as evidence-based policies. This need is even more critical in the health sector due to the economic, legal, and political implications of health-related issues and risks posed to governments, regulators and scientists by rapid, baseless decisions. Therefore, a too-restrictive regulatory environment or unbalanced scientific discourses of distrust and concern about AI (see the international call for the stop in AI research by AI researchers themselves) are likely to bias the willingness of relevant actors to think of expanding in healthcare AI-based solutions, notwithstanding several of these tools are being used for several years, and others are likely to be implemented shortly.
ER  -