College of Healthcare Information Management Executives (CHIME’s) AI Principles
Artificial intelligence is changing medical education.? AI will not replace physicians, but it is imperative that medical students are trained in the use of AI to transform patient care. With AIs exciting potential comes the need to monitor it closely to ensure there is oversight for “enhancing patient care and supporting providers.”
With over 5,000 members across 60 countries, the College of Healthcare Information Management Executives (CHIME) is the “premier professional organization for senior-level digital health leaders worldwide.” ?CHIME recently discussed AI with many of their members. ?After months of discussion, the result is the creation of ten principles with recommendations to “ensure the appropriate level of oversight and support for providers and patients.”
CHIME recommends the following ten principles to “ensure the appropriate level of oversight and support” for providers and patients during this transformation.? I have edited them for space and the full pdf noted below includes detailed recommendations for each principle.
1.Patient Safety: Patient safety must remain a top concern, and it is crucial that the use of AI does not lead to worse health outcomes than if it were not used.
?2. Administrative Efficiencies: Investments in AI tools designed to improve the healthcare sector’s efficiency could result in significant savings in time and cost.
3. Regulatory Oversight: Regulatory oversight is needed; however, it should not result in duplicative mandates or worsen administrative burdens on providers and clinicians.
4. Innovation & Research: AI tools and applications that help reduce provider burnout, including both administrative and clinical, foster a culture of innovation, and uphold high standards for patient care must be prioritized.
5. Discrimination, Bias & Equity: Monitoring of AI performance to prevent discriminatory outcomes and enhance fairness in healthcare delivery is needed.
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?6. Affordability: The federal government should help ensure that the use of AI does not result in a larger divide between the digital haves and have-nots.
7. Privacy: Patient data privacy and security are paramount in healthcare, and the burden for protecting patient data must be a shared one.
?8. Cybersecurity: AI holds significant promise as it will help providers take a more proactive posture against cyber threats. However, it bears a significant financial cost; national investments in cybersecurity for providers is needed. Unfunded mandates will only set providers back further.
?9. High-Speed Broadband: Expanding nationwide high-speed broadband is crucial for harnessing AI tools and reducing healthcare disparities across the U.S.
10. Education & Workforce: Support by large technology companies, educators and policymakers is needed to manage the use of these new tools and the changing labor demand. Federal support is needed to help providers reskill their workforce. Retraining programs funded by the federal government should be pilot tested at hospitals and other healthcare settings that could serve as national model with access to AI for all patients nationwide.