Responsible AI in Healthcare: Best Practices to Improve Healthcare Delivery Panel Session: Panel Session

A candid discussion that dives into the recesses of AI and ethics including topics such as what lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems, how can responsible AI help build a clinical support system, examples from providers and payers and le...

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Veröffentlicht in:Blockchain in healthcare today 2022-01, Vol.5
Hauptverfasser: Kothari, Prasad, Lal, Tarun Mohan, Rao, Anand S, Young, Swathi
Format: Artikel
Sprache:eng
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Zusammenfassung:A candid discussion that dives into the recesses of AI and ethics including topics such as what lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems, how can responsible AI help build a clinical support system, examples from providers and payers and learnings from responsible AI which can be used in Obamacare and clinical trial implementation. Discussion topics will include:* What is responsible AI? Is it the same as Ethical AI?* What lessons can be used in healthcare from tech players implementing responsible AI and unbiased systems?* Why is responsible AI important for healthcare? Is there demographic bias in the treatment part of responsible AI?* How can responsible AI help build a clinical support system?* What are some examples of responsible AI in the healthcare industry with respect to providers and payers?* What are learnings from responsible AI which can be used in Obamacare implementation?* HHS introduced an interoperability rule between EMR/EHR systems in 2019. How does it help in the implementation of responsible AI?* How responsible AI is currently covered in new US government initiative such as AI.gov* Responsible AI & data bias in clinical trials
ISSN:2573-8240
2573-8240
DOI:10.30953/bhty.v5.210