What You Should Know:
- Physicians are cautiously optimistic about artificial intelligence (AI) in healthcare, according to a new survey by the American Medical Association (AMA). While 41% are equally excited and concerned about its potential, nearly two-thirds see its advantages if specific concerns are addressed.
- The survey of 1,081 physicians, conducted in August 2023, reveals a complex picture of how doctors view this transformative technology, highlighting both its potential
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Artificial Intelligence in Healthcare | News, Analysis, Insights - HIT Consultant
Lunit Acquires AI-Enabled Breast Cancer Detection Platform Volpara for $193M
What You Should Know:
- South Korean AI leader Lunit has announced its intention to acquire Volpara, a global pioneer in AI-powered cancer detection software, in a landmark deal worth AUD 292M (USD 193M).
- Beyond market presence, it's Volpara's deep knowledge and extensive data that truly sets it apart. With over 100 million high-quality mammogram images in its repository, Volpara offers a treasure trove of insights that will supercharge Lunit's AI capabilities and pave the way for
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Healthcare Fraud Shield Brings AI to Healthcare Fraud Detection
What You Should Know:
Healthcare Fraud Shield (HCFS), a leading provider of fraud, waste, abuse, and error (FWAE) protection solutions for the healthcare insurance market, today launched FWA360Leads, a new product that automatically identifies and prioritizes FWA leads based on order of importance and impact severity.The HCFS PlatformTM is the backbone of many top healthcare insurance companies’ FWA & payment integrity strategies – delivering millions of dollars in savings,
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Children’s Health Deploys Generative AI-Powered Clinical Summaries
What You Should Know:
- Children's Health, a pediatric health system announced it has deployed Pieces, a clinically-oriented generative AI solution, across its inpatient care.
- Pieces seamlessly integrates with the hospital's Epic EMR and has quickly become a daily tool for doctors, nurses, and case managers, facilitating clinical handoffs, managing length of stay, tackling discharge barriers, enhancing team communication, and supporting multidisciplinary rounds.
Real-Time
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Americans Wary of Generative AI in Healthcare: Trust and Transparency Key to Adoption
What You Should Know:
- A new survey, Generative AI in Healthcare: Gaining Consumer Trust, from Wolters Kluwer Health reveals significant concerns among Americans regarding the use of generative AI (GenAI) in healthcare.
- While many see its potential to improve care, the lack of transparency and validation around data sources raises major trust issues.
Lack of Trust & Transparency
Key findings of the report include:
- Lack of transparency: 86% of Americans worry about not
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1 in 3 Primary Care Physicians Have Already Tried AI Scribe Tools
What You Should Know:
Elation Health, the clinical-first technology company powering innovation in primary care, today announced the results of a survey of 229 primary care physicians focused on the benefits, desired features, and hurdles to adoption of artificial intelligence–powered (AI) medical scribe tools in the EHR.AI scribe tools use speech recognition and natural language processing to capture and transcribe conversations between a physician and a patient during clinical
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Google Cloud Launches Healthcare Focused Generative AI Models
What You Should Know:
- Google Cloud unveils MedLM, a family of generative AI models specifically designed for medical applications.
- Building on the success of Med-PaLM, Google's latest offering promises to revolutionize medical documentation, drug research, and patient care experiences.
MedLM Background
Built on the foundation of Med-PaLM 2, MedLM offers two model sizes: a larger one for complex tasks and a smaller one for scaling across various applications. MedLM is trained on
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HHS Finalizes Rule for AI Transparency and Data Interoperability
What You Should Know:
- The U.S. Department of Health and Human Services (HHS) took a major step forward in healthcare data sharing and artificial intelligence (AI) transparency with the finalization of the Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1) rule.
- This rule was finalized after months of public feedback, promises to revolutionize how healthcare data is used and accessed in the United
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Augmedix Integrates Google Cloud AI to Boost Medical Documentation
What You Should Know:
- Augmedix, a leader in ambient medical documentation, is partnering with Google Cloud to integrate MedLM, a new healthcare-focused generative AI model, into its technology stack.
- This strategic integration partnership aims to improve the quality and efficiency of medical note generation, ultimately benefiting healthcare providers and patients alike.
Medical-Focused Generative AI Model Integration
Augmedix will integrate MedLM, a medical-focused generative AI
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Darena Solutions, Leidos, and SLI Compliance Launches Healthcare AI App Verification Program to Streamline EHR Integration
What You Should Know:
- Darena Solutions, Leidos, and SLI Compliance join forces to launch a first-of-its-kind verification program for AI applications in healthcare. This healthcare AI app verification program aims to bridge the gap between the growing demand for AI and the challenges of integrating it seamlessly with Electronic Health Records (EHRs).
- This initiative represents the first time two ONC-approved test labs have collaborated on such a program. Darena Solutions brings its
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