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DTSTART;TZID=America/New_York:20261104T173000
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SUMMARY:AI in Healthcare: Clinical Judgement\, Governance & Accountability presented by TAG Data Science & AI Society
DESCRIPTION:Join us for a timely conversation on AI in Healthcare: Clinical Judgement\, Governance & Accountability as clinicians\, behavioral health professionals\, technology leaders\, developers\, and AI practitioners explore a critical question: as AI increasingly influences clinical decisions\, assessments\, and care recommendations\, who should have the final say and who is accountable when things go wrong?Connect with with members of Atlanta's business\, technology\, and healthcare communities to explore the real-world challenges of integrating AI into healthcare while balancing innovation with clinical judgment\, patient safety\, and meaningful human oversight.Discover how healthcare organizations can build trust in AI\, address bias\, ensure equitable outcomes\, and establish clear accountability and responsible governance while harnessing AI's potential to enhance clinical decision-making and behavioral healthcare.\nMeet our SpeakersShalmali Joshi\nSenior Advanced Analytics Analyst\, Elevance Health\nAnand Saokar\nHead - Omnichannel\, Patient Provider Employee Experience\, Consumer Analytics & AI Data Platform\, Wellstar Health System\nKetki Savle\nSr AI/ML Engineer\, Optum\nMelissa Sousa\nCorporate Director of Data & AI Strategy\, Emory Healthcare\n\nThank you to our Event Host\nThank you to our Annual TAG Data Science & AI Society Sponsors\nOnline registration will close on November 4th. On-site registration is available after this time. On-site registration will have a price increase for Non-Members.\nPlease note that if you belong to a member organization but have not yet connected to your company's membership\, you will need to complete the membership activation form before the member rate is available to you.Privacy Notice By registering for this event\, you agree to TAG's information-sharing practices for networking purposes. View our full Event Privacy Statement here.
X-ALT-DESC;FMTTYPE=text/html:Join us for a timely conversation on AI in Healthcare: Clinical Judgement\, Governance &\; Accountability as clinicians\, behavioral health professionals\, technology leaders\, developers\, and AI practitioners explore a critical question: as AI increasingly influences clinical decisions\, assessments\, and care recommendations\, who should have the final say&mdash\;and who is accountable when things go wrong?
Connect with with members of Atlanta&rsquo\;s business\, technology\, and healthcare communities to explore the real-world challenges of integrating AI into healthcare while balancing innovation with clinical judgment\, patient safety\, and meaningful human oversight.
Discover how healthcare organizations can build trust in AI\, address bias\, ensure equitable outcomes\, and establish clear accountability and responsible governance&mdash\;while harnessing AI&rsquo\;s potential to enhance clinical decision-making and behavioral healthcare.
 | Shalmali Joshi
Senior Advanced Analytics Analyst\, Elevance Health
|
 | Anand Saokar
Head - Omnichannel\, Patient Provider Employee Experience\, Consumer Analytics &\; AI Data Platform\, Wellstar Health System
|
 | Ketki Savle
Sr AI/ML Engineer\, Optum
|
 | Melissa Sousa
Corporate Director of Data &\; AI Strategy\, Emory Healthcare
|
| Thank you to our Event Host |
Thank you to our Annual TAG Data Science &\; AI Society Sponsors |
Online registration will close on November 4th. On-site registration is available after this time. On-site registration will have a price increase for Non-Members.
Please note that if you belong to a member organization but have not yet connected to your company&rsquo\;s membership\, you will need to complete the \;membership activation form \;before the member rate is available to you.
Privacy Notice \;
By registering for this event\, you agree to TAG'\;s information-sharing practices for networking purposes. View our full Event Privacy Statement \;here.
LOCATION:11675 Rainwater Drive Suite 100 Alpharetta GA 30009
UID:e.1848.1663371
SEQUENCE:3
DTSTAMP:20261021T044738Z
URL:https://members.tagonline.org/calendar/Details/ai-in-healthcare-clinical-judgement-governance-accountability-presented-by-tag-data-science-ai-society-1960405?sourceTypeId=Hub
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