The integration of big data analytics into healthcare has the potential to enhance patient care, improvement in clinical outcomes, and optimize healthcare systems. This special session seeks to explore the current state and future possibilities of leveraging big data in healthcare. Various experts from academia, industry, and healthcare institutions will come together to discuss breakthroughs, challenges, and the transformative impact of big data on healthcare delivery.
Session Objectives:
1. Data-Driven Healthcare Systems: Explore how big data analytics can inform evidence-based decision-making, improve healthcare operations, and optimize resource allocation.
2. Clinical Applications: Showcase real-world examples of big data applications in clinical settings, including personalized medicine, predictive analytics, and treatment optimization.
3. Population Health Management: Discuss how big data analytics can contribute to proactive and preventive healthcare by identifying trends, predicting outbreaks, and improving public health initiatives.
4. Interoperability and Data Integration: Address challenges related to data interoperability and integration, and explore solutions to facilitate seamless information exchange among healthcare systems.
5. Data Security and Privacy: Delve into the critical aspects of ensuring data security and patient privacy in the era of big data, discussing best practices, regulations, and ethical considerations.
6. Innovative Technologies: Highlight emerging technologies such as machine learning, artificial intelligence, and natural language processing that are enhancing the analysis and utilization of big data in healthcare.

Topics for the Special Session but not limited to:
Clinical Decision Support Systems (CDSS), Predictive Analytics in Healthcare, Personalized Medicine, Population Health Analytics, Ethical Considerations in Big Data Use, Data Security and Privacy in Healthcare, Telemedicine and Remote Patient Monitoring, Blockchain in Healthcare Data Management, Healthcare Fraud Detection, Health Informatics Standards, Patient-Centric Approaches