Preeti Tupsakhare
Biography
Innovative software engineering leader with 17+ years of experience in healthcare technology, specializing in .NET and low-code platforms. Proven expertise in designing scalable, cross-functional healthcare solutions, including genetic testing and oncology clinical engines. Skilled in leading enterprise-level digital transformations, modernizing legacy systems, and integrating low-code frameworks to accelerate development.
Research Interest
Enhancing Healthcare and Enterprise Efficiency through AI-Driven Automation
Abstract
In the face of escalating demands for efficiency, personalization, and data-driven decisions, Artificial Intelligence (AI) has emerged as a transformative force across both healthcare and enterprise domains. This talk will explore the integration of AI into Clinical Decision Support Systems (CDSS), highlighting its ability to overcome long-standing challenges such as data overload, integration barriers, and static algorithmic limitations. Drawing on real-world case studies, we?ll examine how AI enhances diagnostic accuracy, enables predictive analytics, and supports personalized treatment?redefining patient outcomes and provider workflows.
Expanding beyond healthcare, the presentation will also delve into the power of Intelligent Automation?a strategic fusion of AI with Robotic Process Automation (RPA) and low-code platforms. This convergence not only streamlines repetitive tasks but equips businesses with adaptive, scalable solutions that empower both technical and non-technical users. By showcasing successful implementations across industries, including finance, logistics, and healthcare operations, we will uncover how AI-enabled automation drives agility, reduces operational costs, and fosters innovation.
Attendees will gain strategic insights into designing ethical, secure, and sustainable AI solutions that are aligned with clinical needs and business goals. The session will conclude with emerging trends in hyper-automation, cognitive process automation, and real-time edge AI, offering a future-forward view of how intelligent systems are reshaping global industries.
