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DTSTAMP:20260521T142323Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15560\nJoin this Special I
 nterest Group where the discussion will center on the challenges in He
 althcare Data Governance (DG), with a particular focus on the impact of art
 ificial intelligence (AI) and standardized terminologies in shaping effecti
 ve data governance. Participants will engage in an open dialogue to identif
 y key challenges encountered in implementing robust AI-driven data governan
 ce within healthcare settings and share insights on potential solutions. Th
 is includes exploring strategies, best practices, and real-world examples o
 f successful approaches to navigating the intricate landscape of AI governa
 nce and data interoperability in healthcare.\nKey topics will include:\n\n
 Data Privacy and Confidentiality: Addressing the complexities of de-identif
 ying free-text medical notes and mitigating re-identification risks while e
 nsuring compliance with stringent regulations like GDPR and HIPAA.\n
 Data Quality and Consistency: Overcoming issues related to the variability 
 and completeness of free text data to ensure accurate analysis and interpre
 tation.\n
 Ethical Considerations: Discussing strategies to mitigate bias in AI models
 , ensure fairness, and enhance the transparency and explainability of AI sy
 stems.\n
 Interoperability: Addressing the challenges of integrating AI systems with 
 existing healthcare IT infrastructure and ensuring adherence to data standa
 rds.\n\nThe overarching goal is to foster collaborative problem-solving, al
 lowing participants to draw from each other's experiences and collectiv
 ely work towards establishing effective AI governance frameworks within the
  healthcare industry.
DTSTART:20241211T083000
SUMMARY:SIG: Unpacking Healthcare Data Governance with AI and Standardized 
 Terminologies
DTEND:20241211T091459
LOCATION: See Description
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