Healthcare · 2024 · 248 citations · 20 references
ComputingComputer ScienceHealth InformaticsArtificial IntelligenceHealth Care RegulationHealthcare PolicyArtificial Intelligence AdoptionArtificial Intelligence PolicyDigital Health Device RegulationDigital Health SystemsHealthcare RegulationAi-based PracticeArtificial Intelligence-assisted DiagnosisHealthcare AutomationHealthcare Process AutomationHealthcare Workforce Shortages
The healthcare sector faces workforce shortages and rising chronic disease burdens, and while AI‑enabled digital health interventions are seen as promising solutions, their autonomous, adaptive nature raises regulatory risks that current frameworks may not adequately address. The study aims to promote global regulatory convergence for AI in healthcare to improve patient outcomes, population health, and professional well‑being. The authors conducted a literature review of AI regulatory frameworks in developed nations. The review found that AI applications in healthcare are extensive and can assist, automate, and augment services, while most global regulations focus on Software as a Medical Device under digital health product categories.
The healthcare sector is faced with challenges due to a shrinking healthcare workforce and a rise in chronic diseases that are worsening with demographic and epidemiological shifts. Digital health interventions that include artificial intelligence (AI) are being identified as some of the potential solutions to these challenges. The ultimate aim of these AI systems is to improve the patient’s health outcomes and satisfaction, the overall population’s health, and the well-being of healthcare professionals. The applications of AI in healthcare services are vast and are expected to assist, automate, and augment several healthcare services. Like any other emerging innovation, AI in healthcare also comes with its own risks and requires regulatory controls. A review of the literature was undertaken to study the existing regulatory landscape for AI in the healthcare services sector in developed nations. In the global regulatory landscape, most of the regulations for AI revolve around Software as a Medical Device (SaMD) and are regulated under digital health products. However, it is necessary to note that the current regulations may not suffice as AI-based technologies are capable of working autonomously, adapting their algorithms, and improving their performance over time based on the new real-world data that they have encountered. Hence, a global regulatory convergence for AI in healthcare, similar to the voluntary AI code of conduct that is being developed by the US-EU Trade and Technology Council, would be beneficial to all nations, be it developing or developed.
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