Demystifying the Black Box: A Technical Analysis of Transparency Requirements in Clinical AI Systems DOI Creative Commons
Petros Chavula, Alfred Addy, Fredrick Kayusi

et al.

Published: Nov. 10, 2024

This analysis examines the adequacy of Ghana's current regulatory framework in addressing AI explainability clinical decision support systems. It evaluates existing healthcare laws, derives underlying principles, and assesses their application to governance. The study finds significant gaps regime, including a lack AI-specific provisions, insufficient requirements, inadequate frameworks for liability accountability. While principles provide foundation, they are fully address challenges posed by healthcare. concludes that comprehensive development is needed, regulations, technical standards explainability, enhanced capacity. as it provides roadmap developing effective regulations sector. highlights urgent need evolution ensure safe, ethical, transparent use support, potentially serving model other nations facing similar challenges.

Language: Английский

Digital Physicians: Unleashing Artificial Intelligence in Transforming Healthcare and Exploring the Future of Modern Approaches DOI Creative Commons
Ban Salman Shukur, Mohd Khanapi Abd Ghani, Burhanuddin Mohd Aboobaider

et al.

Mesopotamian Journal of Artificial Intelligence in Healthcare, Journal Year: 2024, Volume and Issue: 2024, P. 28 - 34

Published: Feb. 2, 2024

Growing global awareness that attention to health care is the basis for maintaining citizens' quality of life. Health institutions seek increase interest in electronic services and enhance patient results by integrating artificial intelligence techniques. Artificial tools are indispensable diagnosis, treatment, care. Integrating techniques into development healthcare environment works public disease prevention provide free all citizens. Designing platforms raises society, provides programs initiatives, reaches homes, gardens, schools, universities through applications based on intelligence. The primary purpose this article challenge extent which related medicine its contribution positive negative effects revolutionizing services.

Language: Английский

Citations

7
AI and Medical Negligence DOI Creative Commons
George Mensah

Published: June 14, 2024

This paper examines the legal and ethical implications of artificial intelligence (AI) in medical negligence Ghana, focusing on adequacy existing frameworks addressing unique challenges posed by AI-assisted healthcare delivery. Using IRAC approach, identifies key issues such as blurring lines responsibility, lack transparency interpretability AI systems, potential for bias. The analysis reveals that Ghana's current laws, including Public Health Act, 2012 (Act 851) Professions Regulatory Bodies 2013 857), may not adequately address AI-related negligence. recommends establishing multi-stakeholder committees, developing interim guidelines, adapting standards care, promoting accountability, fostering ongoing education public engagement. findings recommendations contribute to global policy debate liability negligence, emphasizing need collaborative, adaptive, comprehensive regulatory prioritize patient safety, rights, trust.

Language: Английский

Citations

4
Regulating Malpractice in Telemedicine and Digital Health DOI Creative Commons
George Mensah

Published: June 15, 2024

Abstract This paper employs the IRAC method to examine legal and regulatory landscape governing malpractice in telemedicine digital health Ghana, focusing on patient privacy breaches, negligence by healthcare providers, leakage of sensitive information. Drawing upon relevant Ghanaian laws regulations, as well insights from research papers, analysis highlights need for updates existing frameworks, development targeted AI governance mechanisms, promotion transparency accountability use technologies. The provides practical recommendations policymakers, stakeholders, professionals, emphasizing importance public education provider training foster a culture responsible innovation maintain trust rapidly evolving system. These findings contribute evidence-based policies practices that prioritize safety, rights, era.

Language: Английский

Citations

3
AI and Medical Negligence DOI Creative Commons
George Mensah

Published: June 14, 2024

This paper examines the legal and ethical implications of artificial intelligence (AI) in medical negligence Ghana, focusing on adequacy existing frameworks addressing unique challenges posed by AI-assisted healthcare delivery. Using IRAC approach, identifies key issues such as blurring lines responsibility, lack transparency interpretability AI systems, potential for bias. The analysis reveals that Ghana's current laws, including Public Health Act, 2012 (Act 851) Professions Regulatory Bodies 2013 857), may not adequately address AI-related negligence. recommends establishing multi-stakeholder committees, developing interim guidelines, adapting standards care, promoting accountability, fostering ongoing education public engagement. findings recommendations contribute to global policy debate liability negligence, emphasizing need collaborative, adaptive, comprehensive regulatory prioritize patient safety, rights, trust.

Language: Английский

Citations

0
Defining Responsibility: A Framework Analysis of Error Attribution and Accountability in AI Telemedicine Services DOI Creative Commons
Fredrick Kayusi,

Srinivas Kasulla,

S J Malik

et al.

Published: Nov. 10, 2024

This study examines the regulatory landscape governing liability and accountability in AI telemedicine Ghana. Using CREAC (Context, Rules, Explanation, Application, Conclusion) legal analytical approach, it analyzes existing Ghanaian healthcare laws regulations context of telemedicine. The finds that while Ghana has a comprehensive set regulations, they are inadequately equipped to address unique challenges posed by telemedicine, particularly regarding determination, mechanisms, error management. Significant gaps exist current legislation, leaving vulnerable risks associated with healthcare. recommends developing AI-specific updating laws, establishing national ethics committee, implementing certification system for healthcare, creating specialized framework. These measures aim balance innovation patient safety ethical delivery.

Language: Английский

Citations

0
Advancing Algorithmic Justice: A Systematic Review of Fair Decision-Making Protocols in Healthcare AI DOI Creative Commons
Fredrick Kayusi,

Srinivas Kasulla,

S J Malik

et al.

Published: Nov. 10, 2024

This paper provides a comprehensive analysis of artificial intelligence (AI) implementation in Ghana’s healthcare system, synthesizing findings from recent Ghanaian studies. It examines legal and regulatory frameworks, ethical considerations, bias fairness, transparency accountability, interdisciplinary approaches, patient rights data protection, access equity, oversight. The reveals both significant opportunities for AI to improve delivery Ghana substantial challenges ensuring its ethical, equitable, effective implementation. Key highlight the need AI-specific regulations, investment local capacity building, culturally sensitive design, robust fairness accountability mechanisms, ongoing stakeholder engagement. contributes discourse on developing countries, offering insights into unique faced by lower-middle-income countries. aims inform evidence-based policymaking enrich academic understanding diverse cultural economic contexts.

Language: Английский

Citations

0
Demystifying the Black Box: A Technical Analysis of Transparency Requirements in Clinical AI Systems DOI Creative Commons
Petros Chavula, Alfred Addy, Fredrick Kayusi

et al.

Published: Nov. 10, 2024

This analysis examines the adequacy of Ghana's current regulatory framework in addressing AI explainability clinical decision support systems. It evaluates existing healthcare laws, derives underlying principles, and assesses their application to governance. The study finds significant gaps regime, including a lack AI-specific provisions, insufficient requirements, inadequate frameworks for liability accountability. While principles provide foundation, they are fully address challenges posed by healthcare. concludes that comprehensive development is needed, regulations, technical standards explainability, enhanced capacity. as it provides roadmap developing effective regulations sector. highlights urgent need evolution ensure safe, ethical, transparent use support, potentially serving model other nations facing similar challenges.

Language: Английский

Citations

0