What You Should Know
The Integration: Mira, the leader in at-home lab-grade hormone testing, has launched a direct integration with ŌURA, the maker of the popular smart ring.The Data Flow: Users can now view Oura’s biometric data—specifically sleep, readiness, and temperature trends—directly inside the Mira app, alongside their hormone concentrations.The Goal: The partnership aims to provide "context" to women's health data. By correlating a drop in sleep quality with a specific hormonal
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Artificial Intelligence in Healthcare | News, Analysis, Insights - HIT Consultant
Midstream Health Partners with CommonSpirit Health to Deploy AI Financial Operations Platform
What You Should Know
The Deal: Midstream Health, a platform backed by Andreessen Horowitz (a16z), has secured a strategic partnership with CommonSpirit Health. The health system isn't just a customer; its venture arm is an initial investor.The Tech: Midstream deploys "AI Agents" that scour financial data to find lost value. Unlike standard analytics, these agents are "contract-aware," proactively flagging missed rebates, pricing errors, and underpayments that humans miss.The Impact: The
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The Rise of AI Triage: Navigating Regulatory Challenges and Patient Care Workflows
Patients aren’t just experimenting with AI for health advice anymore – they’re relying on it.
A recent survey found that more than 57% of participants had a predominantly favorable view of AI in healthcare. The result? Around the globe, more than 40 million people turn to ChatGPT daily for health information.
The Centers for Medicare and Medicaid Services (CMS) has put a thumb on the scale as well, prioritizing conversational AI as a critical use case for early adopters of their new
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Canary Speech Partners with Intermountain Health to Study Vocal Biomarkers for Multiple Sclerosis
What You Should Know
The Partnership: Canary Speech, a leader in vocal biomarker technology, has partnered with Intermountain Ventures (the innovation arm of Intermountain Health) to launch a groundbreaking study.The Goal: The study aims to identify Multiple Sclerosis (MS) using vocal biomarkers. It is the first IRB-approved study of its kind to explore whether subtle vocal patterns analyzed by AI can reveal early indicators of the disease.The Impact: Current MS diagnosis is invasive and
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Mount Sinai Study: LLMs Susceptible to Medical Misinformation in Clinical Notes
What You Should Know
The Study: In a paper published today in The Lancet Digital Health [10.1016/j.landig.2025.100949], researchers at the Icahn School of Medicine at Mount Sinai analyzed over one million prompts across nine leading Large Language Models (LLMs) to test their susceptibility to medical misinformation.The Vulnerability: The study found that AI models frequently repeat false medical claims—such as advising patients with bleeding to "drink cold milk"—if the lie is embedded in
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How Agentic AI Optimizes HCP Marketing and ROI in Life Sciences
Most life sciences companies may know more about their healthcare professionals (HCPs) than they realize, but too often they can’t use that data when it matters. For example, an HCP may have just attended a conference where a competitor showcased their drug’s promising results, published research, and shifted their prescriptions to a rival product in the past quarter. In most companies, legacy IT infrastructure and data silos keep this information in disparate systems across CRM, events
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Tebra Report: 3 in 5 Staff Say ChatGPT Cuts Burnout—But 14% Admit They Can’t Function Emotionally Without It
What You Should Know
The Benefit: A new survey from Tebra reveals that 3 in 5 healthcare employees report ChatGPT has reduced burnout by streamlining documentation and communication. In private practices, 44% of staff now use AI daily.The Dependency: The efficiency comes with a psychological cost. 14% of respondents admit to feeling "emotionally dependent" on AI (checking it impulsively or feeling anxiety without it), and 47% have used it for emotional processing.The Risk: AI is now
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AI Adoption in Healthcare Doubles, But Cybersecurity Risks Loom Large
AI is no longer a concept of the future and has become a practical tool helping hospitals and health systems extend care, ease workforce pressures and improve patient engagement. From virtual nursing models that extend clinical capacity to AI-driven automation in call centers and back-office functions, healthcare organizations are finding new ways to manage workloads, reduce costs and improve patient experiences.
Despite its promise, AI in healthcare is not risk-free and the stakes are
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Sword Intelligence Launches in UK and Europe with AI-Led Care Operations Platform
What You Should Know
The Launch: Sword Intelligence has officially launched in the UK and Europe. Born from the global digital health unicorn Sword Health, this new entity focuses on applying AI to operational bottlenecks like triage, scheduling, and care coordination.The Scale: The company is already deploying one of Europe’s first AI-powered healthcare "front doors" in Greece, aiming to manage triage and coordination for a national population of 10 million citizens.The Pedigree: Backed by
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The “Platform” Squeeze: Epic Releases Native AI Charting, Putting Venture-Backed Scribes on Notice
What You Should Know
The Launch: Epic has officially released AI Charting, a native feature that listens to patient visits and automatically drafts notes and orders. This is part of a broader suite called Art (for clinicians), Penny (for revenue cycle), and Emmie (for patients).The Integration: Unlike third-party tools that require separate logins or data bridges, Epic’s AI is "built-in." It draws context from the entire medical record to draft notes and allows clinicians to format them via
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