New & Notable
'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.
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.
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.
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.
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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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.
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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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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.
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4 top use cases for agentic AI in healthcare
Agentic AI can ease burnout for clinicians by helping with scheduling, documentation and engaging with patients.
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AI and HIPAA compliance: How to navigate major risks
Balancing AI deployments with HIPAA compliance can be fraught with numerous risks. The first step is awareness, and the second step is to follow best practices to avoid pitfalls.
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Understanding GenAI's sociodemographic bias in healthcare
Amid GenAI's growing popularity in healthcare, a new study highlights the sociodemographic-based biases of the models, urging clinical oversight.