New & Notable
Arguing the pros and cons of AI in healthcare
Clinical diagnostics, workload reduction and predictive analytics are among AI's advantages in healthcare, but concerns persist about patient privacy, ethics and medical errors.
Ambient AI scribes reduce burnout, but cost impact uncertain
Ambient AI scribes reduce clinician burnout and improve patient experience, but their ROI and cost-effectiveness are unclear, a new PHTI report shows.
How predictive analytics could improve SDOH screening
As healthcare organizations seek to improve health equity, predictive analytics using robust EHR data could help flag patients likely to have future health-related social needs.
Health AI industry left to self-regulate as feds change course
Even as Trump rescinded AI executive orders, health AI stakeholders continue to self-regulate, creating guidelines and frameworks for safe and responsible health AI development.
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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New ML tool enables more equitable genomic research
A new machine learning tool could help reduce ancestral bias in genetic data, improving equity in genomic research and personalizing care across diverse populations.
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Study: ML mortality prediction misses 66% of severe injuries
When given test cases with different injury levels, ML mortality prediction models gave inconsistent risk scores, overestimating moderate injuries and underestimating severe ones.
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KLAS: ClosedLoop leads health AI vendors in client satisfaction
In a KLAS report, ClosedLoop clients reported the highest levels of satisfaction across four measured health AI vendors, noting strong partnership.
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PCPs seek additional training to fully trust healthcare AI
New survey data show that while using healthcare AI is common in primary care, clinicians desire additional training to fully trust AI tools.
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Electronic frailty index predicts risk of adverse outcomes
Mass General Brigham's electronic frailty index analyzes EHR data to assess patient frailty, helping predict adverse outcomes and improve care for older adults.
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Most patients do not trust health systems to use AI responsibly
Trust in health systems to use AI responsibility and protect them from AI harm is low among patients, indicating the need to improve health system trustworthiness.
Features
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HIMSS25: Navigating the cost-benefit dilemma of health AI
At HIMSS 2025, healthcare leaders discussed how they approach cost-benefit analyses of AI tools, focusing on the need for defining benefits and improving physician well-being.
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How health systems are building clinician trust in AI
Mayo Clinic, Vanderbilt University Medical Center and Duke Health leaders highlighted strategies to foster trust in AI tools and support successful implementation efforts.
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What to expect at HIMSS25: AI, cybersecurity and more
The HIMSS25 conference will feature new perspectives on artificial intelligence, health equity, cybersecurity and more, with preconference forums and a pavilion for new vendors.
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How an advanced analytics tool can clean up 'clinical waste'
MultiCare Health System has seen success with an advanced analytics-based clinical decision support tool to reduce unnecessary healthcare utilization.