Skip to content
Research Article Open access CC BY 4.0

Data Governance in AI - Enabled Healthcare Systems: A Case of the Project Nightingale

Aisha Temitope Arigbabu, Oluwaseun Oladeji Olaniyi, Chinasa Susan Adigwe, Olubukola Omolara Adebiyi, Samson Abidemi Ajayi

Asian Journal of Research in Computer Science · pp. 85–107 · Published 8 Mar 2024

10.9734/ajrcos/2024/v17i5441

Abstract

The study investigates data governance challenges within AI-enabled healthcare systems, focusing on Project Nightingale as a case study to elucidate the complexities of balancing technological advancements with patient privacy and trust. Utilizing a survey methodology, data were collected from 843 healthcare service users employing a structured questionnaire designed to measure perceptions of AI in healthcare, trust in healthcare providers, concerns about data privacy, and the impact of regulatory frameworks on the adoption of AI technologies. The reliability of the survey instrument was confirmed with a Cronbach's Alpha of 0.81, indicating high internal consistency. The multiple regression analysis revealed significant findings: a positive relationship between the awareness of technological projects and trust in healthcare providers, countered by a negative impact of privacy concerns on trust. Additionally, familiarity with and perceived effectiveness of regulatory frameworks were positively correlated with trust in data, while perceptions of regulatory constraints and data governance issues were identified as significant barriers to the effective adoption of AI technologies in healthcare. The study highlights the critical need for enhanced transparency, public awareness, and robust data governance frameworks to navigate the ethical and privacy concerns associated with AI in healthcare. The study recommends adopting flexible, principle-based regulatory approaches and fostering multi-stakeholder collaboration to ensure the ethical deployment of AI technologies that prioritize patient welfare and trust.

AI-enabled healthcare data governance patient privacy regulatory frameworks trust in healthcare project nightingale ethical AI development healthcare data security

References (59)

  1. 1 The potential for artificial intelligence in healthcare [DOI]
  2. 2 Revolutionizing healthcare: the role of artificial intelligence in clinical practice [DOI]
  3. 3 Explainability for artificial intelligence in healthcare: a multidisciplinary perspective [DOI]
  4. 4 Big data in healthcare: management, analysis and future prospects [DOI]
  5. 5 Privacy in the age of medical big data [DOI]
  6. 6 Ethical and legal challenges of artificial intelligence-driven healthcare [DOI]
  7. 7 Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges [DOI]
  8. 8 A governance model for the application of AI in health care [DOI]
  9. 9 Federated Learning for Internet of Things: A Comprehensive Survey
  10. 10 Data governance: A conceptual framework, structured review, and research agenda [DOI]
  11. 11 Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review [DOI]
  12. 12 Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives [DOI]
  13. 13 Precision health data: Requirements, challenges and existing techniques for data security and privacy [DOI]
  14. 14 The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration [DOI]
  15. 15 Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future [DOI]
  16. 16 SHIFTing artificial intelligence to be responsible in healthcare: A systematic review [DOI]
  17. 17 AI in medicine must be explainable [DOI]
  18. 18 Regulatory Frameworks for Development and Evaluation of Artificial Intelligence–Based Diagnostic Imaging Algorithms: Summary and Recommendations [DOI]
  19. 19 Acceptability of a Personally Controlled Health Record in a Community-Based Setting: Implications for Policy and Design [DOI]
  20. 20 Advancing Data-Driven Decision-Making in Smart Cities through Big Data Analytics: A Comprehensive Review of Existing Literature [DOI]
  21. 21 Data protection and ethics requirements for multisite research with health data: a comparative examination of legislative governance frameworks and the role of data protection technologies† [DOI]
  22. 22 Privacy Laws and Privacy by Design Schemes for the Internet of Things [DOI]
  23. 23 The Effectiveness of Health Care Information Technologies: Evaluation of Trust, Security Beliefs, and Privacy as Determinants of Health Care Outcomes [DOI]
  24. 24 Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis [DOI]
  25. 25 Google's Project Nightingale highlights the necessity of data science ethics review [DOI]
  26. 26 Implementation of an intelligent supply chain control tower: a socio-technical systems case study [DOI]
  27. 27 Enhancing Kidney Transplant Care through the Integration of Chatbot [DOI]
  28. 28 Evaluating and Establishing Baseline Security Requirements in Cloud Computing: An Enterprise Risk Management Approach [DOI]
  29. 29 Harnessing Predictive Analytics for Strategic Foresight: A Comprehensive Review of Techniques and Applications in Transforming Raw Data to Actionable Insights [DOI]
  30. 30 Utilizing Big Data Analytics and Business Intelligence for Improved Decision-Making at Leading Fortune Company [DOI]
  31. 31 Effects of Information Governance (IG) on Profitability in the Nigerian Banking Sector [DOI]
  32. 32 IoT Security in the Era of Ubiquitous Computing: A Multidisciplinary Approach to Addressing Vulnerabilities and Promoting Resilience [DOI]
  33. 33 The Importance of COSO Framework Compliance in Information Technology Auditing and Enterprise Resource Management [DOI]
  34. 34 Sustainable Sourcing of Organic Skincare Ingredients: A Critical Analysis of Ethical Concerns and Environmental Implications [DOI]
  35. 35 Navigating Risk in the Modern Business Landscape: Strategies and Insights for Enterprise Risk Management Implementation [DOI]
  36. 36 Exploring the Landscape of Decentralized Autonomous Organizations: A Comprehensive Review of Blockchain Initiatives [DOI]
  37. 37 Critical Analysis of Innovative Leadership through Effective Data Analytics: Exploring Trends in Business Analysis, Finance, Marketing, and Information Technology [DOI]
  38. 38 Human dignity and AI: mapping the contours and utility of human dignity in addressing challenges presented by AI [DOI]
  39. 39 Electricity Consumption (kW) Forecast for a Building of Interest Based on a Time Series Nonlinear Regression Model [DOI]
  40. 40 A Regressional Study on the Impact of Organizational Security Culture and Transformational Leadership on Social Engineering Awareness among Bank Employees: The Interplay of Security Education and Behavioral Change [DOI]
  41. 41 Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study [DOI]
  42. 42 WhatsApp Data Policy, Data Security and Users’ Vulnerability [DOI]
  43. 43 Promoting Inclusive Accounting Education through the Integration of Stem Principles for a Diverse Classroom [DOI]
  44. 44 Understanding and Overcoming the Limitations to Strategy Execution in Hotels within the Small and Medium Enterprises Sector [DOI]
  45. 45 Quantitative Analysis and Comparative Review of Dividend Policy Dynamics within the Banking Sector: Insights from Global and U.S. Financial Data and Existing Literature [DOI]
  46. 46 Interplay of Islam and Economic Growth: Unveiling the Long-run Dynamics in Muslim and Non-muslim Countries [DOI]
  47. 47 Revealing the black box: Understanding how prior self-disclosure affects privacy concern in the on-demand services [DOI]
  48. 48 Flexible regulation for dynamic products? The case of applying principles-based regulation to medical products using artificial intelligence [DOI]
  49. 49 The Ethics of AI in Health Care: A Mapping Review [DOI]
  50. 50 Aligning data architecture and data governance
  51. 51 Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare [DOI]
  52. 52 AI-Driven Cloud Security: Examining the Impact of User Behavior Analysis on Threat Detection [DOI]
  53. 53 Exploring the Challenges of Artificial Intelligence in Data Integrity and its Influence on Social Dynamics [DOI]
  54. 54 Proliferation of AI Tools: A Multifaceted Evaluation of User Perceptions and Emerging Trend [DOI]
  55. 55 AI for Identity and Access Management (IAM) in the Cloud: Exploring the Potential of Artificial Intelligence to Improve User Authentication, Authorization, and Access Control within Cloud-Based Systems [DOI]
  56. 56 Forecasting the Future: The Interplay of Artificial Intelligence, Innovation, and Competitiveness and its Effect on the Global Economy [DOI]
  57. 57 Effect of Adopting AI to Explore Big Data on Personally Identifiable Information (PII) for Financial and Economic Data Transformation [DOI]
  58. 58 Leveraging FinTech Compliance to Mitigate Cryptocurrency Volatility for Secure US Employee Retirement Benefits: Bitcoin ETF Case Study [DOI]
  59. 59 Overcoming Challenges for Improved Patient-Centric Care: A Scoping Review of Platform Ecosystems in Healthcare [DOI]

Cited by 112

The Importance of AI Data Governance in Large Language Models

Saurabh Pahune, Zahid Akhtar, Venkatesh Mandapati · Big Data and Cognitive Computing · 2025

Personal Data Privacy and Security at Individual and Organizational Levels

Jasbir Kaur, Shiney Chib, Guru Basava Aradhya S. · User-Centric Cybersecurity Implications for Sustainable Digital Transformation · 2025

Data Governance Frameworks for Large-Scale Healthcare Systems: A Comparative Study

Nikitha Edulakanti · Journal of Information Systems Engineering and Management · 2025

Innovative Regulation of Open Source Intelligence and Deepfakes AI in Managing Public Trust

Onyinye Obioha Val, Michael Olayinka Gbadebo, Oluwaseun Oladeji Olaniyi · 2025

Showing 25 of 112 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

85

Page views

0

PDF downloads

15

Outbound clicks

112

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.