Sharing a Workplace: How Health Systems Make Artificial Intelligence Useful to Clinicians
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Health systems are working to make artificial intelligence (AI) useful to clinicians while mitigating the risk of harm to patients. AI's usefulness in healthcare hinges on testing and refinement in real-world settings, requiring new levels of vigilance and collaboration across disciplines.
Health systems face the challenge of making artificial intelligence (AI) useful to clinicians while minimizing risks. AI can automate routine tasks, improve diagnostic accuracy, and enhance clinical decision-making. However, its adoption requires careful consideration of its potential to discriminate and amplify harm. To address this, health systems are working to earn the trust of clinicians and ensure that AI solutions work in different environments. They are prioritizing use cases, testing, and refining AI in real-world settings to avoid harm. By doing so, they aim to strike a balance between innovation and caution, ultimately improving patient care.
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