Bridging the Gap Between Data and Quality Improvement for Hospitals
Data only drives change when the right people see the right numbers at the right time and someone owns the follow-through.
AI Companies That Invest in Better Data Pipelines are Winning Faster Regulatory Approvals — Here’s Why
Medical AI developers who prioritize data early will be the ones crossing the regulatory finish line faster and more reliably.
Transforming the OR: CEO Reveals Game-Changing AI Tech for Better Efficiency
How Apella leverages technology to increase OR efficiency.
From Silos to Synthesis: How the Information Renaissance is Transforming Emergency Medicine
In the shift from isolated expertise to collective insights, shared data are revolutionizing patient care in EMS and hospitals.
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.
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.
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.
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Enhanced Direct Enrollment: Georgia Access and the Power of Partnership
Across the nation, state-based health insurance exchanges are searching for ways to better serve their communities while making enrollment easier, more personal, and more accessible for everyone.
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.
What Healthcare Tech Has Leaders Most Energized Right Now?
During a recent panel discussion, healthcare leaders highlighted that the true promise of technology lies in ensuring that tools are practical, trusted and widely usable for both patients and clinicians.
The Hidden Power of Tech-Enabled Healthcare Services: Fueling the Next Wave of Healthcare AI
For AI to truly revolutionize healthcare, it must understand the social, environmental, and emotional context that influences health outcomes in order to make interventions more targeted and effective. AI can only achieve this degree of understanding if it is fed novel data that reflects the human experience – data that is currently generated by tech-enabled services.
Why Insurers Need to Lead in the Shift to Healthcare Consumerism
We’re in the middle of a fundamental shift that’s giving consumers more power and choice over their health coverage while creating healthy competition in the marketplace. Consumer expectations are justifiably rising, and people want a much more pleasant, frictionless and digital experience from their health plan – just like they get everyplace else in their lives.
Integrating GLP-1s: How Berry Street is Redefining Nutrition Care
Richard Fu details the company's approach to nutrition therapy and strategy for patients using GLP-1s.
Data-Driven Decisions: Unlocking Strategic Financial Performance in Healthcare
Data is not optional; it is essential to financial stability and strategic growth. The organizations that thrive will be those that use data to lead, not follow.
Putting SDOH Data to Work for Systems and Patients
For healthcare leaders, actionable SDOH insights are key to advancing equity and improving patient outcomes. By investing in comprehensive engagement strategies and leveraging technology, the healthcare industry can build trust, address barriers to care, and ensure that no patient falls through the cracks.
Bringing Clinical Data Management to the Cloud
Moving clinical data management to cloud platforms can carry myriad benefits for healthcare organizations.
The Integration Opportunity: A Blueprint for Reliable Device Data
A clinically led, cross-functional team approach is essential during medical device integration projects to close data gaps, overcome common project pitfalls, complete optimal testing, and ensure proper oversight.
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Transforming Healthcare Through Contextualized, Decision-Ready Insights
Turn complex healthcare data into clear, context-rich insights that drive faster, smarter decisions.