New & Notable
Machine learning unlocks insights into physician fatigue
A machine learning model identified physician fatigue through clinical notes, linking it to worse clinical decision-making in a new study.
Racial bias evident in psychiatric recommendations by LLMs
New research shows psychiatric treatment recommendations by LLMs are prone to racial bias, highlighting the importance of AI oversight to ensure health equity.
Deploying an agentic AI nurse to boost maternal care outcomes
Drive Health, Google and the state of Illinois are working together to launch an agentic AI nurse tool to boost maternal health access, outcomes and equity.
'Readiness gap' holds back GenAI adoption in healthcare, survey finds
Staffing shortages, workflow issues and a lack of corporate buy-in hamper generative AI readiness in healthcare, but the technology can help with documentation and administrative tasks.
Insights
Insights is research conducted by and for TechTarget Xtelligent Healthcare. Our work aims to leverage Xtelligent’s diverse readership of healthcare professionals across various sectors of the industry to understand real-world challenges and identify effective solutions.
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Healthcare Strategies: A Podcast
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A podcast for healthcare professionals seeking solutions to today's and tomorrow's top challenges. Hosted by the editors of Xtelligent Healthcare Media, this podcast series focuses on real-world use cases that are leading to tangible improvements in care quality, outcomes, and cost.
Guests from leading provider, payer, government, and other organizations share their approaches to transforming healthcare in a meaningful and lasting way.
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Latest News
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Machine learning model predicts pediatric adverse events
New research reveals that a machine learning model outperformed other risk stratification models to accurately identify high-risk pediatric patients across hospital units.
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Cleveland Clinic, Oracle, G42 to launch health AI platform
Through a strategic partnership, the three organizations will combine health AI systems, AI infrastructure capabilities and clinical expertise to enhance treatments and outcomes.
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AI model boosts delirium detection rate in hospitals
Research shows that using a new AI model resulted in a four-fold increase in the rate of delirium detection among hospitalized patients, enhancing delirium treatment.
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Ambient AI's impact on clinician experience varies
A new analysis of ambient AI technology use shows that it helps improve clinician experience, but some clinicians, like primary care physicians, may like it more than others.
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AI algorithm determines probability of heart condition
New research shows that calibrating the scores of an AI algorithm can help clinicians identify and triage high-risk hypertrophic cardiomyopathy patients.
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AI model estimates heart failure from single-lead ECGs
Researchers have created an AI model that uses single-lead ECGs to predict the risk of heart failure, which could provide a new risk-stratification strategy for the disease.
Features
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Using AI to support nurses managing ED triage
UMass Memorial Health has expanded its use of an AI tool to support nurses conducting ED discharge through clinical decision support and early identification of urgent care needs.
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How AI aids prostate cancer detection
From AI-enabled MRIs to body mapping and deep learning, AI brings the potential to speed up and fine-tune prostate cancer detection.
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How an FQHC is using ambient AI to reduce clinician burden
Neighborhood Healthcare expanded ambient AI technology across its clinics after a successful pilot where the tool helped reduce clinical documentation burden.
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AI in healthcare: A guide to improving patient care with AI
AI is permeating critical healthcare practices, from interpreting mammograms to discovering life-saving drugs, while surgically transforming hospital workflows.