IKS Health Acquires ARAI to Build Out Specialized AI Stack
IKS Health acquired healthcare AI startup ARAI to strengthen the technology underpinning its automation tools, as well as reduce its dependence on third-party AI models.
Private Voice AI in Healthcare: How to Capture Critical Conversations Without Letting Patient Data Leave the Building
When deployed within the organization's own infrastructure, voice AI unlocks these four concrete benefits for healthcare teams.
The Power Behind Enterprise EHR Software for Large Healthcare Systems
Enterprise EHR boosts scalability, interoperability, and governance for large healthcare systems.
The Current “SaaS Meltdown” Will Fundamentally Change the Tech Stack by 2027
Healthcare leaders must recognize this impending shift now and get ready for it by changing how they evaluate technology and the operational tasks they expect it to solve.
Digitized Dysfunction: Why Healthcare Must Eliminate Work — Not Just Automate It
Healthcare inefficiency is rarely about a single task. It is typically about disjointed systems, misaligned incentives, and fragmented accountability. When we automate broken processes like these, we simply fail faster and at scale.
AI in Transplant Diagnostics: Turning Complexity into Clinical Clarity
The strongest AI adoption plans follow a simple pattern: start small, validate and scale only when results hold up across sites, shifts and real-world variation. The goal is safer, more personalized care, which is made possible by clinicians receiving earlier signals, better-tailored monitoring and more confident decisions for each patient.
How I Learned To Trust AI as a Physical Therapist
If AI is going to be used in MSK care — or any area of healthcare — it needs clear, non-negotiable rules around it.
The Power of Real World Data to Study Women’s Health at Scale
Veradigm examines key clinical trends, comorbidity profiles, and treatment trends across adolescence, reproductive years, and peri-/post-menopause. Download it today!
Healthcare Doesn’t Have an AI Problem — It Has a Readiness Problem
The path to scalable AI in healthcare will not be defined by a single breakthrough or technology. It will be shaped by the industry’s ability to address the foundational challenges that have existed for decades.
Sleep Is the Missing Vital Sign, and Health AI Is Scaling the Consequences
Sleep threads through cardiovascular function, metabolism, immune activity, and mental health. It happens nightly, which means it can produce a steady flow of information that, measured well, could tell us a lot about near-term changes and long-range risk.
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Top 7 Modern AI-Powered EAP Providers for Global Workforces in 2026
Discover the top AI-powered EAP providers for 2026. Compare platforms like Kyan Health and Spring Health on triage speed, global reach, and clinical quality to transform workforce wellbeing.
The AI Funding Divide: Why VCs Will Miss the Next Healthcare Category Kings (And Where CEOs Should Look Instead)
While AI makes VC faster, it’s not necessarily wiser. In healthcare, where breakthroughs rarely resemble anything the market has seen before, that distinction is everything.
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Top 7 Modern AI-Powered EAP Providers for Global Workforces in 2026
Discover the top AI-powered EAP providers for 2026. Compare platforms like Kyan Health and Spring Health on triage speed, global reach, and clinical quality to transform workforce wellbeing.
The Multimodal Explosion: Why 2026 Breaks the AI Paradigm
Accuracy, completeness, and efficiency all matter when benchmarking a successful AI platform. But there’s another metric that’s often overlooked: the minutes of eye contact returned to the exam room.
Repurpose, Don’t Replace: Three Ways Digital Agents Are Improving Phone Access
Technology alone is not the answer to the capacity crisis facing healthcare. But when thoughtfully integrated into care delivery operations, digital tools can help healthcare organizations rebalance workloads and stabilize patient access.
AI-Driven Layoffs In Healthcare: Navigating Legal Risks and Operational Challenges
Layoffs tied to AI adoption will not be uniform; they will vary by sector, job function, and regulatory exposure. Nowhere is this more complex than in healthcare, where legal constraints, patient safety obligations, and labor dynamics intersect with rapid technological change.
What Dentistry Is Teaching Healthcare About Operational AI
In dental practices, where reimbursement cycles are tighter and administrative inefficiencies are immediately visible, AI is already being evaluated not for novelty, but for operational impact.
Patients are Turning to HCP Influencers in the Age of AI and Misinformation
As patients take to social media, in all its ungated glory and promotion of misinformation, how can they be certain that what they are getting is accurate? What voices can they trust?