New & Notable
LLMs show potential for hospital quality measure reporting
Large language models can process Severe Sepsis and Septic Shock Management Bundle quality measures in agreement with manual reporting in 90% of cases.
Comparing real-world, synthetic and de-identified data
Real-world, synthetic and de-identified data all play a role in healthcare analytics efforts, but knowing which type of data to use is key for success.
Google: Providers see GenAI's potential for administrative tasks
A new report from Google Cloud and The Harris Poll revealed that 89% of providers and 98% of payers have a positive view of GenAI use to streamline administrative tasks.
AI reveals sex-specific brain cancer risk factors
A deep learning-enabled precision medicine approach could help predict sex-specific patterns of glioblastoma growth, which might improve risk stratification and treatment planning.
Insights
Insights is the research division of Xtelligent Healthcare Media. 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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Optum Specialty Fusion
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Brault
Brault is a revenue cycle and practice management organization that partners with hospitals and independent physician groups. Their intelligent practice solutions include coding and billing, MIPS optimization, provider documentation training, and practice management.
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Greenway Health
Improving healthcare through innovation is at the heart of Greenway Health’s work. We provide electronic health records (EHR), practice management, and revenue cycle management solutions that help practices in multiple specialties grow profitably, remain compliant, work more efficiently, and improve patient outcomes.
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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Microsoft expands healthcare AI, analytics capabilities
New Microsoft Cloud for Healthcare offerings will focus on multimodal foundation models, data integration, healthcare agent services and nursing workflow improvements.
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Deep learning predicts disease risk from 3D medical images
The SLice Integration by Vision Transformer model accurately predicts disease risk factors by analyzing scans across various volumetric medical imaging modalities.
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Patients see potential benefits of AI in mental healthcare
Just under half of a U.S. survey cohort reported seeing AI as beneficial for mental healthcare, but incorrect diagnoses and lack of interaction with providers are major concerns.
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AI could improve prostate cancer risk stratification
A deep learning tool could identify intermediate-risk prostate cancer patients more likely to experience rapid disease progression and help inform personalized treatment plans.
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ML helps tailor AHA-PREVENT risk stratification tool
Using open source machine learning tools, researchers recalibrated the AHA-PREVENT calculator to improve cardiovascular risk assessment in local patient populations.
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GenAI displays no racial, sex bias in opioid treatment plans
Large language models demonstrated no race- or sex-based differences in opioid treatment recommendations, which could help reduce bias and improve health equity.
Features
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Breaking down the 7 types of health informatics
Health informatics is an ever-growing field aimed at using health data, information technology systems and clinical knowledge to improve patient outcomes.
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Measuring sickle cell burden with a public health dashboard
The Indiana Sickle Cell Dashboard gives patients, providers and public health officials interactive visualizations of sickle cell disease prevalence and burden.
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How healthcare organizations can prioritize AI governance
As artificial intelligence continues to gain traction in healthcare, health systems and other stakeholders must work on building effective AI governance programs.
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How can AI help predict, automate hospital discharge?
When planning discharge, care teams must use their best judgment and available data to inform decision-making. Can artificial intelligence tools streamline this process?