‘Free’ AI Pilots Are Costing Health Systems Millions
Without clear goals and shared accountability, AI pilots can quickly become exercises in hope rather than strategy.
Creating Exceptional Patient Experiences Starts with Identity Intelligence
We must work together across the care continuum to establish both local and network-trusted identity data management capabilities that can unify patient data across fragmented data silos at both the database layer and the front-end digital and physical access layer.
Transforming Clinical Content with Ambient & Generative AI
Sheila Bond, MD, talked about the latest trends regarding integration of AI in healthcare.
Innovation Fatigue is Rampant: What’s the Rx to Fix It?
It’s not the flashiest technologies or rapid-speed AI breakthroughs that can do it. It’s the technologies laser-focused on the unglamorous but all-consuming coordination problems that suck up medical staff’s time, stress them out, and compromise patient care.
Conducting a Medical Device Security Risk Assessment
The cybersecurity process is something you need to invest effort in now. Here's some insight on conducting a security risk analysis that is impactful for the whole life of a medical device or medical device software.
Bias Doesn’t End at the Dataset: It Lives in the Deployment
Equity has to be built into the deployment strategy from day one, not treated as a future retrofit. That means prioritizing inclusion not only in the data but in the delivery, and recognizing that inclusive deployment is the foundation for inclusive datasets.
DPC Physicians Are Running Blind Without Clinical Data
Real-time access to clinical data would reduce the wasted time and effort tracking down referral records and enable a more proactive, rather than reactive, approach to patient treatment plans.
Transforming the OR: CEO Reveals Game-Changing AI Tech for Better Efficiency
How Apella leverages technology to increase OR efficiency.
The Next Phase of Surgical Robotics
Technology advancements like imaging will overlap with changing commercialization models and new hospital realities to enable entirely new patient impacts and economic models.
When Healthcare Meets People Where They Are: How PDTs Are Reshaping Mental Health Treatment
Here are some key insights to help unlock the viability of PDTs to address unmet needs throughout the healthcare ecosystem — for patients and providers alike — and how to take meaningful steps to improve the health experience.
Phony Bank Account Change Requests: A Growing Threat for Healthcare Finance Leaders
Phony bank account change requests aren’t just another check box on a fraud prevention list – they’re one of the most immediate and dangerous threats facing healthcare AP teams today.
Technology Evolution: Why Clinicians Must Expand Their Sources of Data
Healthcare today requires more than the partial snapshot offered by legacy technology. By integrating diverse data sources such as wearables, claims, communications, and ADT feeds, clinicians gain a comprehensive, real-time view of their patients’ health.
How Zelis is Transforming Healthcare Payments with Enterprise AI
How Zelis hopes to solve the healthcare financial system for payers and providers.
Closing the Rural Divide with Device-enabled Virtual Care
Bringing care to people where they are improves community health outcomes — we must operate with more urgency to shore up care resources in rural areas.
Healthcare Has Outgrown Geography – Why Navigation Must Evolve in the Virtual Era
For payers, that means the work ahead is not simply contracting with virtual providers — it’s rebuilding the infrastructure that builds trust as members find the right care for them. Here are three elements that need rethinking.
To Help Achieve Life-Saving Discoveries, AI Must Access ‘Underutilized, Undervalued’ Findings
AI-powered platforms can collect data sets from disparate sources and check them for quality, duplication, relevance, and more. These platforms can then create even more extensive, understandable findings to help healthcare professionals make decisions.
LLMs Have Eaten the Internet — Now They’re Starving on Themselves
The way forward isn’t bigger models. It’s smaller, smarter ones. Small Language Models (SLMs) are designed to do what LLMs can’t: learn from enterprise data and focus on specific problems.
It’s Time to Rethink Prior Authorization for Chronic and Serious Conditions
Guideline directed care pathways are a way to shift from transactional PA, where each service requires separate approval, to an episode-of-care model.