The integration of artificial intelligence and big data analytics has the potential to revolutionize healthcare delivery and public health policy. This paper presents a conceptual framework that explores the application of AI-driven predictive analytics in chronic disease management, epidemic forecasting, and healthcare cost optimization. Additionally, it examines how AI supports data-driven public health policymaking, enhances healthcare accessibility, and addresses ethical, legal, and social considerations. The study also discusses the interoperability challenges associated with integrating AI into healthcare ecosystems, focusing on the role of electronic health records, clinical decision support systems, and IoT-enabled remote patient monitoring. Despite the transformative benefits of these technologies, barriers to adoption—such as technical limitations, financial constraints, and regulatory concerns—pose significant challenges. Future research directions highlight the importance of explainable AI, federated learning, and AI-driven personalized medicine. The paper concludes with policy recommendations for standardizing data-sharing protocols, improving AI literacy among healthcare professionals, and ensuring ethical AI implementation to create a more efficient and equitable healthcare system.
Artificial intelligence in healthcare, Big data analytics, Predictive healthcare modelling, Public health policy, Healthcare interoperability, AI ethics and regulation
IRE Journals:
Ernest Chinonso Chianumba , Nura Ikhalea , Ashiata Yetunde Mustapha , Adelaide Yeboah Forkuo , Damilola Osamika
"A Conceptual Framework for Leveraging Big Data and AI in Enhancing Healthcare Delivery and Public Health Policy" Iconic Research And Engineering Journals Volume 5 Issue 6 2021 Page 303-311
IEEE:
Ernest Chinonso Chianumba , Nura Ikhalea , Ashiata Yetunde Mustapha , Adelaide Yeboah Forkuo , Damilola Osamika
"A Conceptual Framework for Leveraging Big Data and AI in Enhancing Healthcare Delivery and Public Health Policy" Iconic Research And Engineering Journals, 5(6)