New AI sepsis detection models challenge Epic’s market hold

Here are the key points summarized from Katie Palmer’s article on telehealth, clinical artificial intelligence, and the health data economy:

Decline in Early Sepsis Prediction Software: Five years ago, a sepsis prediction algorithm from Epic failed in practice despite theoretical promises, sending too many alerts that doctors ignored.
Emergence of New Sepsis Models: Recently, there’s a resurgence of sepsis models, with Epic releasing an improved algorithm, startups testing new models, and Bayesian Health introducing an FDA-cleared device.
Focus on Clinical Artificial Intelligence: There is an ongoing assessment of how new AI tools for clinical applications impact the efficiency and effectiveness of health care services.
Impact on Healthcare Affordability: The article is part of the “Paying for AI” series that examines the influence of clinical AI tools on healthcare costs and long-term health outcomes.
Industry Landscape: Besides Epic, other innovative approaches from startup models and advanced language models are being employed to enhance sepsis detection and management.
Exclusive Content: The full article and additional insightful analysis available through the subscription-based service, STAT+.

These points highlight the advancements and ongoing challenges in the field of digital health care.

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