A Pathway from Law to Care: How the Artificial Intelligence Act, the Medical Device Regulation, and the Public Procurement Directive Can Contribute to Ensuring Quality in Healthcare.
Jul 2026· Health Care Analysis· 2 citations· 16 references
Medicine
Abstract
Artificial intelligence (AI) is increasingly embedded in healthcare delivery, and when systems are scaled across clinical workflows, errors may have system-wide consequences. The Artificial Intelligence Act (AIA) and the Medical Device Regulation (MDR) establish important safety requirements for AI-based medical devices placed on the EU market, but they do not, in themselves, guarantee that AI tools deliver quality care for patients in real-world clinical settings. This article examines how the EU Public Procurement Directive (PPD) can complement the AIA and MDR to strengthen quality assurance when AI tools are adopted in healthcare systems across EU Member States. The article proposes specific procurement mechanisms as a prerequisite for adoption, thereby translating regulatory safeguards into practice. The article also argues that healthcare providers play a critical role in shaping the quality of AI. Beyond CE-marking, procurement should require evidence of clinical relevance, context-specific documentation, transparency in system design, and clearly defined quality criteria, including diagnostic accuracy and patient outcomes. Embedding legal and ethical requirements in procurement provides a pathway from law to care, ensuring that AI supports safe, equitable, and high-quality healthcare.
A compliance-by-design framework is proposed that translates overlapping legal requirements into a set of auditable governance artefacts covering system classification, regulatory mapping, data governance, validation, human oversight, conformity assessment, post-market monitoring, and change control.
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K. Falayi, Prince Chukwuemeka Ekeocha, Oladayo Mary Akintola et al.· International Journal of Res...· 0 citations
To promote the safe and effective adoption of AI, stronger clinical evidence, structured training programs, and organizational models capable of supporting its implementation are required.
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The delivery of medical services has changed as a result of the quick integration of artificial
intelligence (AI) into global healthcare systems. Still, it has also brought up difficult ethical,
legal, and regulatory issues. This study examined the ramifications in relation to Nigeria's
healthcare system, highlighting...
Getrude Frimpong· International Journal of Hea...· 0 citations
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Research Author· European Journal of Law, Int...· 0 citations
Background: Artificial intelligence (AI) is increasingly being integrated into healthcare
systems to support clinical decision-making, improve patient safety, enhance quality of
care, and optimize healthcare service delivery. Despite rapid technological development,
evidence regarding the real-world impact of AI on hea...
Amani Mahdi Al-Habib, Manal Adnan Alsada, Zahra Ali Al Yagoob et al.· European Journal of Prosthod...· 0 citations
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