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AI in Clinical Practice

Artificial intelligence tools are increasingly integrated into clinical documentation, diagnostics, and workflow optimization. This section analyzes how AI adoption affects physician practice environments.

228 articles

Tag: Ai in clinical practice

  • Artificial intelligence tools are increasingly integrated into clinical documentation, diagnostics, and workflow optimization. This section analyzes how AI adoption affects physician practice environments.
Clinician Training: The Key to AI

Clinician Training: The Key to AI

AI in healthcare will only deliver value if clinicians and staff are trained to use and govern it.
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Preparing for Healthcare AI Regulation

Preparing for Healthcare AI Regulation

Federal and state policymakers are actively shaping oversight for clinical AI and digital health products. Healthcare organizations and
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AI Rewiring Doctor–Patient Communication

AI Rewiring Doctor–Patient Communication

AI is shifting where and how medical conversations occur—through chatbots at initial access points and EHR-integrated tools inside
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Embedding AI in EHRs: CIOs Balance Gains

Embedding AI in EHRs: CIOs Balance Gains

Health systems are embedding AI into EHRs to reduce documentation burden and optimize workflows, but CIOs must balance
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Regulating Clinical AI: Pace vs. Prudence

Regulating Clinical AI: Pace vs. Prudence

Policymakers are simultaneously encouraging clinical AI adoption and drafting varied, sometimes conflicting regulations. Health systems, vendors, and recruiters
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Rapid AI Adoption, Fragile Safety and Accountability

Rapid AI Adoption, Fragile Safety and Accountability

Rapid AI rollouts in healthcare are exposing gaps in validation, monitoring, and accountability. This post outlines governance elements—technical
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Preparing the Workforce for Agentic AI

Preparing the Workforce for Agentic AI

Agentic AI is moving from pilots to real-world use across hospitals, but organizational readiness—governance, validation, and workforce training—lags
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Scaling Trust: AI's Reliability in Health Systems

Scaling Trust: AI’s Reliability in Health Systems

Health systems are rapidly adopting AI, but reliability and operational scalability remain key barriers. This post examines lifecycle
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AI Firms Fund Policy Research

AI Firms Fund Policy Research

AI developers are increasingly funding public policy research, a trend that can accelerate governance capacity but raises questions
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Ambient AI Scribes: Gains, Risks, Governance

Ambient AI Scribes: Gains, Risks, Governance

Ambient AI scribes are delivering measurable clinician time-savings and documentation improvements, but they also create new privacy, security,
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