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DTSTART:20260308T030000
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DTSTART:20261101T010000
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BEGIN:VEVENT
DTSTAMP:20261028T215858Z
UID:6D55BCC9-CB1B-4B34-97B7-84DE25DBAF29
DTSTART;TZID=America/Chicago:20261022T181500
DTEND;TZID=America/Chicago:20261022T193000
DESCRIPTION:Healthcare organizations have more data than ever\, spread acro
 ss claims\, clinical and EHR systems\, finance and operations\, and qualit
 y measures. Yet most analytics still follows a slow cycle: data feeds dash
 boards\, analysts read them\, and leaders decide. This talk traces how hea
 lthcare analytics has evolved\, from IT-run reports and enterprise dashboa
 rds in Tableau and MicroStrategy\, through self-service BI\, to conversati
 onal analytics with tools like Databricks Genie. It follows a single healt
 hcare claim through a modern data warehouse to show where analysts&#39; time g
 oes today and where AI agents can take on part of that work\, from spottin
 g 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 i
 n\, and prepare for agentic healthcare.\n\nSpeaker(s): Bindu\n\nAgenda: \n
 6:25 to 6:35 PM - Open for participants to enter and network.\n6:35 to 6:4
 0 PM - IEEE LM and CTCN Business meeting and to introduce speaker.\n6:40 t
 o 7:55PM - Formal Program and Q&amp;A.\n\nRoom: Community Room 8\, Bldg: Asian
  American Resource Center\, 8401 Cameron Rd\, Austin\, Texas\, United Stat
 es\, 78754\, Virtual: https://events.vtools.ieee.org/m/583502
LOCATION:Room: Community Room 8\, Bldg: Asian American Resource Center\, 84
 01 Cameron Rd\, Austin\, Texas\, United States\, 78754\, Virtual: https://
 events.vtools.ieee.org/m/583502
ORGANIZER:bill.martino@ieee.org, uday.kanike@ieee.org, jayasudha.yedalla@gm
 ail.com
SEQUENCE:34
SUMMARY:IEEE CTS CTCN/LMAG Hybrid Meeting\, 10-22-2026\, &quot;The Future of Hea
 lthcare Analytics: From Dashboards to AI Agents&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/583502
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p dir=&quot;ltr&quot;&gt;Healthcare organ
 izations have more data than ever\, spread across claims\, clinical and EH
 R systems\, finance and operations\, and quality measures. Yet most analyt
 ics still follows a slow cycle: data feeds dashboards\, analysts read them
 \, and leaders decide. This talk traces how healthcare analytics has evolv
 ed\, from IT-run reports and enterprise dashboards in Tableau and MicroStr
 ategy\, through self-service BI\, to conversational analytics with tools l
 ike Databricks Genie. It follows a single healthcare claim through a moder
 n data warehouse to show where analysts&#39; time goes today and where AI agen
 ts can take on part of that work\, from spotting risk signals to recommend
 ing action. The talk then looks ahead to multi-agent systems and autonomou
 s healthcare by 2028 and beyond\, and offers a maturity model so organizat
 ions can assess where they stand. It argues for a partnership in which AI 
 brings speed and pattern detection while people bring context\, empathy an
 d judgment. It ends with four takeaways: invest in data foundations\, adop
 t conversational analytics\, build governance in\, and prepare for agentic
  healthcare.&lt;/p&gt;\n&lt;p dir=&quot;ltr&quot;&gt;&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;div d
 ir=&quot;ltr&quot; data-setdir=&quot;false&quot;&gt;6:25 to 6:35 PM - Open for participants to en
 ter and network.&amp;nbsp\;&lt;/div&gt;\n&lt;div dir=&quot;ltr&quot; data-setdir=&quot;false&quot;&gt;6:35 to 
 6:40 PM - IEEE LM and CTCN Business meeting and to introduce speaker.&lt;/div
 &gt;\n&lt;div dir=&quot;ltr&quot; data-setdir=&quot;false&quot;&gt;6:40 to 7:55PM - Formal Program and 
 Q&amp;amp\;A.&amp;nbsp\;&lt;/div&gt;
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