Tirumala Ashish Kumar Manne

Turning Real-Time Healthcare Data Into Decisions People Can Trust

Abstract:

Healthcare generates an enormous volume of data in motion every second, from claims and eligibility checks to clinical events and device readings. Yet most of this data still reaches decision makers too late, in the wrong shape, or without the context needed to act on it with confidence. This keynote argues that the central challenge in modern healthcare computing is not collecting or storing data, but turning data in motion into decisions that people are willing to trust and act upon.
Drawing on experience building real-time decision systems at national scale, including real-time claims adjudication, the talk presents a practical framework for trustworthy real-time analytics. A decision people trust must be timely, traceable, explainable, accountable, and fair. The session examines the streaming and event-driven architecture that makes sub-second healthcare decisions possible, then turns to the harder questions of data lineage, explainability, human oversight, and fairness that determine whether a fast decision is actually believed and used.

The talk closes with open research problems for the communication, computing, and data analytics community: privacy-preserving analytics across institutions, streaming data quality and lineage, real-time explainability under strict latency budgets, and shared benchmarks for trustworthy decision systems in healthcare.

Profile:

Tirumala Ashish Kumar Manne is a healthcare technology modernization leader whose work sits at the intersection of cloud architecture, artificial intelligence, cybersecurity, interoperability, and enterprise-scale digital transformation. With more than eleven years of experience designing and modernizing complex technology platforms for large healthcare organizations, he currently serves as a Principal Cloud Architect at Optum, a UnitedHealth Group company, where he contributes to secure, scalable, and intelligent healthcare platforms supporting caregiver digitalization, personal support networks, clinical analytics, claims intelligence, real-time prior authorization, Medicare and Medicaid modernization, and healthcare data exchange.

His professional work focuses on transforming legacy healthcare ecosystems into cloud-native, AI-enabled, real-time digital platforms that improve operational efficiency, strengthen reimbursement accuracy, enhance secure digital access, and support better healthcare experiences. His areas of expertise include hybrid and multi-cloud architecture, AI-enabled healthcare analytics, DevSecOps, predictive intelligence, cybersecurity, data interoperability, platform modernization, and responsible implementation of emerging technologies in regulated healthcare environments.

Ashish is also an active contributor to the global technology and research community. He has delivered and participated in international forums including ICTAIDACS 2025, TechFusion 2025, ICMLAS 2026, AIR 2026, the IEEE Twin Cities Consultants Network, and CDO Healthcare Exchange 2026. He has served as a keynote speaker, invited distinguished speaker, session chair, technical program committee member, editorial board member, peer reviewer, awards judge, and mentor, contributing thought leadership across AI, cloud innovation, cybersecurity, healthcare modernization, and digital trust.

In addition to his industry leadership, Ashish serves as Chapter Treasurer for the IEEE Twin Cities Section Chapter, EMB18, and as Region 4 Lead for the IEEE Computer Society Standards Activities Board Outreach Communications Standing Committee, where he supports standards awareness, professional engagement, and practitioner participation in computing and emerging technology standards. He is an IEEE Senior Member and  a distinguished fellow of the Soft Computing Research Society and a fellow of the Royal Society for Public Health, and the Global Association for Research and Innovation. His published research and professional contributions reflect a sustained commitment to advancing secure, intelligent, and scalable healthcare technology systems.