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

General practitioners, health inspectors, and occupational physicians’ burnout syndrome during COVID-19 pandemic and job satisfaction: A systematic review DOI Open Access
Ioannis Adamopoulos, Aikaterini Frantzana, Niki Syrou

et al.

European Journal of Environment and Public Health, Journal Year: 2024, Volume and Issue: 8(3), P. em0160 - em0160

Published: Aug. 23, 2024

<b>Background: </b>Burnout syndrome is a type of stressful factor that related to job satisfaction. General practitioners, health inspectors, and occupational physicians (GPHIOPs) are benchmarked as regards the burnout satisfaction in this systematic review during pandemic COVID-19.<br /> <b>Methods: </b>Relevant scientific literature was searched electronic databases such PubMed, MEDLINE, Cochrane CENTRAL, ScienceDirect, CINAHL up August 2023 order link among general about COVID-19 be found.<br <b>Results: </b>The studies used show an adjacent joint within lacking syndrome. Elevated values low appear because inter individual variables, working condition causes, causes context surroundings. There remarkable lift amongst GPHIOPs last COVID-19. However, it remains needs scrutinized through further research affects development other <b>Conclusions: </b>It critical psychological interventions made address boost rates inimical effect adverse consequences medical

Language: Английский

Citations

5

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

Organizational behavior in the healthcare environment: A study of psychiatric services DOI

Eleni Karageorgaki,

Ioannis Adamopoulos, Antonios Valamontes

et al.

Electronic Journal of General Medicine, Journal Year: 2025, Volume and Issue: 22(4), P. em652 - em652

Published: April 30, 2025

Climate change has significantly impacted various sectors, including public health, and information become an essential aspect of daily life. This research study aims to explore the informational organizational behavior employees in healthcare sector, focusing on their perception literacy a constantly changing environment. The was conducted within department psychiatrics at General Hospital Katerini its workforce. results showed that demonstrated strong sense duty pleasure work exhibited commendable literacy. Primary sources used by included internet, media outlets, colleagues’ insights, printed materials, online search engines. Job satisfaction are notably high, with individuals over 36 showing stronger commitment roles. Education plays significant role, secondary education graduates valuing resources available environment enhancing employee engagement performance.

Language: Английский

Citations

0

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

Analysis on the Regulatory Frameworks of Vaccine Manufacturing and Distribution in Ghana DOI Creative Commons
Alfred Addy,

Shadrach Asamoah-Atakorah,

Nana Betse Morson

et al.

Ghana Journal of Nursing and Midwifery., Journal Year: 2024, Volume and Issue: 1(1), P. 32 - 41

Published: June 5, 2024

Objective: Analyze Ghana's vaccine regulations framework to identify strengths, limitations and policy refinement opportunities regarding manufacturing/distribution. Method: Structured CRuPAC legal review model encompassing comparative assessment of Food/Drugs Act Public Health provisions based on identified criteria; investigation rules, historical applications guiding principles; counterargument evaluation; advice formulation integrates relevant case laws, specific legislation sections academic literature. Results: Robust ecosystem found but with bureaucracy/access constraints; precedent supports compulsory vaccination upholding safety/welfare principles. Conclusions & Recommendations: Balance safety considerations industrial growth incentives; expedite registration pathways for proven developers, offer tax incentives local producers, leverage licensing during shortages; increase healthcare budgets system strengthening. Contributions: Granular analysis establishes evaluative baseline; structured elucidates reform gaps; expansive literature provides contextualization; reasoned interpretation vague theory; tailored, evidence-based recommendations. Significance: Highlights precedents, measures optimize policies regulators/manufacturers/legislatures emergency preparedness.

Language: Английский

Citations

0

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