Dr. Peter Schoch, MD, Chief Health Officer at Kno2
Clinical information isn’t moving where it needs to go.
Despite decades of investment in health IT, the industry is still grappling with basic data exchange. As recently…
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We asked Joao Fontura, MD, about some of the benefits he's seen personally since implementing an AI medical scribe…Watch the full interview to learn how Suncoast Community Health Centers won over skeptical doctors on…
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We investigate issues pertaining to algorithmic fairness and digital health equity within the context of using machine learning to predict Parkinson’s Disease (PD) with data recorded from structured assessments of finger and hand movements….
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Innovate Responsibly – Cutting Through the Hype of Generative AI in HealthcareBy Holly Urban, MD
Holly Urban, MD, MBA is VP of business development for Wolters Kluwer Health.
In the fast-moving world of…
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Yolande Pengetnze, MD, MS, SVP of Clinical Leadership at PCCI
If you are leading efforts to improve and understand public health in your community, we’ve researched and validated that PCCI’s Community Vulnerability Compass (CVC) offers an…
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For the 100th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Mark Mabus, MD, CMIO, and VP EHR at Parkview Health, to talk about their part in the…
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The Med-Gemini Mistake Discovery
Google’s ambitious healthcare AI model, Med-Gemini, recently came under scrutiny when a significant error was discovered in both a 2024 research paper and accompanying blog post. The mistake involved referencing “basilar…
Jacqueline Naeem, MD, Vice President of Clinical and Social Health, PCCI
During the last decade, we have seen major breakthroughs in preventing HIV infection. However, even with these advances, the infection rate has not appreciably…
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Becky Trotter, Vice President, Population Health Solutions at CareAllies
Aliya Ali, MD, Regional Medical Director at CareAllies
The daily huddle, also called a morning huddle, is a brief standup meeting commonly associated with inpatient and surgical care….
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Diagnosing vestibular disorders remains challenging due to complex symptoms and extensive history-taking required. While machine learning approaches have shown promise in medical diagnostics, their application to vestibular disorder classification has been limited. We developed…
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