Researchers Identify Barriers to AI Integration into Clinical Practice

Researchers from the University of Miami Miller School of Medicine, Weill Cornell Medicine, and technology innovation firm Covered By Group have identified barriers that early-stage digital health startups face to the integration and adoption of artificial intelligence (AI) in clinical practice. These insights were gleaned as part of a study recently published in the Journal of Medical Internet Research. The study indicates that AI and other digital health technologies developed by startup companies could improve patient experience and outcomes while reducing healthcare costs if integrated into clinical care, but adoption has been slow.

Medigy Insights

In a collaborative effort, researchers from the University of Miami Miller School of Medicine, Weill Cornell Medicine, and Covered By Group, a technology innovation firm, have identified barriers that impede early-stage digital health startups from integrating and adopting artificial intelligence (AI) in clinical practice. Their findings, published in the Journal of Medical Internet Research, indicate that while AI and other digital health technologies developed by startups have the potential to enhance patient experience, improve outcomes, and reduce healthcare costs, the adoption of these technologies in clinical care has been sluggish. Understanding and addressing these barriers are essential to facilitating the integration and utilization of AI in healthcare.

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