Vedamurthy Gejjegondanahalli Yogeshappa

Title of the Talk :
Value-Based Care  in Health care

Abstract of Talk:

Healthcare is changing fast, and Value-Based Care (VBC) is an important shift from focusing on the number of treatments to focusing on how well patients do. A key part of making VBC work is using advanced data analysis to turn healthcare information into useful insights. These insights help improve patient health, reduce costs, and manage the health of communities. In this keynote speech, we will look at how data analytics help doctors, insurance companies, and leaders handle challenges like organizing care, identifying high-risk patients, and measuring results. Attendees will learn how tools like prediction models, real-world data, and tracking outcomes help create care plans centered on the patient and use resources more effectively. We will also discuss new technologies like artificial intelligence (AI) and machine learning (ML), which are changing how data is understood and decisions are made in VBC. Using analytics, healthcare systems can better improve patient experience, promote healthier populations, and lower costs, building a fair and lasting healthcare system. This talk will highlight why using data and innovation is essential for the success of value-based care.

Bio :
Vedamurthy has over 19 years of experience in the IT industry, with strong expertise in research and development of large-scale data warehouse applications, particularly within the healthcare domain. He has conducted extensive research and acquired deep knowledge in areas such as claims processing, provider reporting, member enrollment management, and clinical data analysis. This experience enables him to develop tailored data solutions that effectively address the unique needs and challenges of the healthcare sector.

He currently leads a data analytics team focused on building cloud-based, data-driven platforms to support risk-bearing organizations in improving health outcomes. He designed a web application that enables clients to review detailed health profiles of their members. These tools facilitate better care coordination and population health management through risk stratification based on aggregated health and disease data.