Dr. Prasanth Kamma | Healthcare Technology | Best Researcher Award
Principal Architect at Aetna Inc. (A CVS Health Company) United States
Summary:
Profile:
Scopus Profile
Education:
- Bachelor’s in Electronics and Communication Engineering.
Professional Experience:
Dr. Prashanth Kamma is an accomplished Salesforce Principal Architect with over a decade of experience in designing and implementing scalable, innovative, and AI-driven Salesforce solutions across industries, particularly in healthcare. Currently serving at Aetna Inc. (a CVS Health company), he leads the Salesforce Center of Excellence, driving the development of Care Management Applications and Field Service Lightning (FSL) solutions. His expertise includes crafting enterprise applications, integrating Salesforce with legacy systems, and advancing DevSecOps strategies using tools like Copado and Jenkins. Dr. Kamma has also collaborated with Salesforce Professional Services and Appirio on large-scale FSL implementations, showcasing his technical leadership and commitment to aligning Salesforce functionalities with strategic business goals.
Research Interests:
Dr. Kamma’s research interests focus on the intersection of cloud-based CRM solutions, AI-driven healthcare applications, and predictive analytics. He is particularly passionate about optimizing Salesforce Field Service Lightning for healthcare, integrating AI and machine learning for enhanced patient care, and developing robust CI/CD pipelines to streamline application lifecycle management. His work emphasizes leveraging technology to drive innovation in healthcare systems and enterprise resource planning.
Top Noted Publications:
1. Revolutionizing Patient Care With Data-Driven Healthcare Applications: A “Machine Learning” And Predictive Analytics Framework
- Author: Dr. Prashanth Kamma
- Journal: Frontiers in Health Informatics
- Year: 2024
- Volume: 13
- Issue: 3
- Pages: 203–213
- Abstract: The article introduces a cutting-edge framework that employs machine learning and predictive analytics to revolutionize patient care. It focuses on leveraging data-driven approaches for enhancing clinical decision-making, optimizing patient outcomes, and improving the efficiency of healthcare processes. Practical examples of real-time data integration and predictive models are provided, showcasing their potential to reshape healthcare delivery systems.
2. AI-Driven Predictive Analytics in Healthcare: Leveraging Salesforce for Scalable, Data-Driven Patient Management Systems
- Author: Dr. Prashanth Kamma
- Journal: Frontiers in Health Informatics
- Year: 2024
- Volume: 13
- Issue: 3
- Pages: 1–13
- Abstract: This paper explores the integration of AI-driven predictive analytics into Salesforce to develop scalable and efficient patient management systems. The study highlights methods for incorporating advanced machine learning techniques into the Salesforce ecosystem to improve healthcare operations. It details strategies for risk assessment, real-time data monitoring, and predictive modeling to enable personalized care and resource allocation.