Industry Roundtable: How AI for Physicians Can Relieve Cognitive Burdens, Reduce Burnout and Improve Staff Retention – PR Newswire

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Aug 16, 2022, 07:57 ET
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Physician leaders from Pieces, Amazon Web Services, and LeanTaaS share insights on how AI can maximize its impact for clinicians with natural language processing and natural language generation
DALLAS, Aug. 16, 2022 /PRNewswire/ — Pieces, a healthcare AI company, recently convened an industry roundtable with physician leaders to reflect on the current state of AI and how it is supporting physicians, nurses, and care teams. The roundtable participants shared their perspectives from both practicing in the field and working with healthcare IT companies to drive much-needed change for healthcare professionals. The consensus was that while AI has made great strides in recent years, it is ready and able to make a deeper impact on the day-to-day work of clinicians, as well as to drive a strategic shift towards re-empowering clinicians to focus more on patients and less on administrative tasks.
The roundtable participants included:
"AI is beginning to help clinicians with the care and treatment of patients but we really are in the first inning here," said Dr. Amarasingham. "This roundtable discussion reflects the increasingly expressed hope that AI can bring back the joy and delight into the practice of medicine, enabling clinicians to spend all of their attention on the patient."
Key takeaways from the roundtable included:
About Pieces
Pieces, Inc. is a healthcare artificial intelligence and technology company that connects health systems and the community to address clinical and social determinants of health through community networks and intelligent software and services. Our solution interprets patient information in real-time and connects health systems and community-based organizations to support healthier outcomes, both inside and outside of hospital walls. Using cloud-based artificial intelligence with clinically-based natural language processing (NLP) and physician-supervised machine learning, our tools help streamline clinician workflows and improve patient outcomes.
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