IEEE CTS CTCN/LMAG Hybrid Meeting, 10-22-2026, "The Future of Healthcare Analytics: From Dashboards to AI Agents"
This is a Hybrid meeting starting at 6:30 PM Central Std. Time.
Healthcare organizations have more data than ever, spread across claims, clinical and EHR systems, finance and operations, and quality measures. Yet most analytics still follows a slow cycle: data feeds dashboards, analysts read them, and leaders decide. This talk traces how healthcare analytics has evolved, from IT-run reports and enterprise dashboards in Tableau and MicroStrategy, through self-service BI, to conversational analytics with tools like Databricks Genie. It follows a single healthcare claim through a modern data warehouse to show where analysts' time goes today and where AI agents can take on part of that work, from spotting risk signals to recommending action. The talk then looks ahead to multi-agent systems and autonomous healthcare by 2028 and beyond, and offers a maturity model so organizations can assess where they stand. It argues for a partnership in which AI brings speed and pattern detection while people bring context, empathy and judgment. It ends with four takeaways: invest in data foundations, adopt conversational analytics, build governance in, and prepare for agentic healthcare.
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- 8401 Cameron Rd
- Austin, Texas
- United States 78754
- Building: Asian American Resource Center
- Room Number: Community Room 8
- Starts 09 October 2026 05:00 AM UTC
- Ends 22 October 2026 05:00 AM UTC
- No Admission Charge
Speakers
Bindu
The Future of Healthcare Analytics: From Dashboards to AI Agents
Healthcare organizations have more data than ever, spread across claims, clinical and EHR systems, finance and operations, and quality measures. Yet most analytics still follows a slow cycle: data feeds dashboards, analysts read them, and leaders decide. This talk traces how healthcare analytics has evolved, from IT-run reports and enterprise dashboards in Tableau and MicroStrategy, through self-service BI, to conversational analytics with tools like Databricks Genie. It follows a single healthcare claim through a modern data warehouse to show where analysts' time goes today and where AI agents can take on part of that work, from spotting risk signals to recommending action. The talk then looks ahead to multi-agent systems and autonomous healthcare by 2028 and beyond, and offers a maturity model so organizations can assess where they stand. It argues for a partnership in which AI brings speed and pattern detection while people bring context, empathy and judgment. It ends with four takeaways: invest in data foundations, adopt conversational analytics, build governance in, and prepare for agentic healthcare.
Biography:
Bindu Madhavi Mangalampalli is a data engineering leader and researcher with more than 17+ years of experience in healthcare, manufacturing and telecom. She is a Data Engineering Architect and Team Lead at Cotiviti, where she leads teams in the US, Mexico, India and Nepal that build healthcare payment-integrity systems handling billions of claims. Her research covers healthcare interoperability, responsible AI and clinical analytics. She has written 3 books and is a TEDx speaker. She is an IEEE Senior Member and serves as Chair of IEEE Women in Engineering (WIE) and Communication Chair of IEEE PI², both in Central Texas. She is also a Forbes Technology Council member and a Distinguished Fellow of the Soft Computing Research Society (SCRS).
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Agenda
The Life Members Affinity Group and the Austin Consultants Network Affinity Group (CTCN) meet monthly. Except when meeting jointly with other groups, the CTCN meet on the third Thursday each month. Meetings usually begin with informal networking from 6:25 to 6:40 p.m., followed by presentations from 6:40 to 7:55 p.m. by experts in topics of interest to IEEE Members. Our meetings are open to the public.
Light refreshments may be available during in person meetings.