The Celiac Care Gap Begins After Diagnosis
Portable gluten detection tools are not a substitute for standard care. Used carefully, they may help clinicians support patients when hidden gluten exposure remains a problem.
AI for MSK Will Bend the Healthcare Cost Curve
Access to AI-powered digital MSK care options reduces wait times and allows patients to move directly into the right care instead of stair-stepping from hospital inpatient to primary care physicians to physical therapy.
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Inside an Automated Healthcare Practice: Redesigning Care Around People, Not Paperwork
By reducing administrative burden and redesigning workflows around human needs, it creates space for what matters most: connection between clinicians and patients.
Medical Weight Loss is Rapidly Changing Surgical Risk and Costs
When used thoughtfully, with attention to muscle preservation and long-term sustainability, medical weight loss can lower complication rates, support a steadier recovery and reduce downstream strain on both patients and health systems.
Are We Measuring Metabolic Health All Wrong?
A fragmented system built on isolated metrics like BMI and A1C fails to capture the full picture of metabolic health and limits our ability to manage it effectively.
Telehealth is Making GLP-1s More Accessible – But Access Alone isn’t Enough
Providing access to GLP-1s only solves part of the problem. In fact, without a broader approach, it may lead to new challenges alongside the ones it aims to address.
From Close Calls to Safer Systems: Rethinking Near Miss Reporting in Healthcare
To truly drive safety at scale, healthcare organizations will have to look beyond just adverse events and better leverage insights from one of the most valuable, but often underutilized, sources of safety data: near misses.
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!
The Next Useful Layer in Radiology AI is Patient Comprehension
The first truly scalable and transformative use of AI in medical imaging may not be autonomous diagnosis. Instead, it may be the creation of a "translation layer" designed to help patients actually understand the complex information they are already receiving.
Medicare Patients Don’t Need More Information —They Need Someone to Act
The assumption is intuitive and well-intentioned: if patients simply understood the system better, they would use it more effectively. However, for most Medicare patients, that assumption is wrong. The barrier to care isn't knowledge, it's execution.
Digital Health Keeps Measuring Engagement While Ignoring Tolerability
Engagement still matters. But the more important question is whether the intervention respects the human nervous system of the person on the receiving end.
What the Failure of Wearables Can Teach Us About AI
The takeaway from the current failure of wearables is that signal without synthesis doesn't change outcomes. If healthcare treats AI as just another way to collect or repackage data, it will repeat the same mistake.
The Power Behind Enterprise EHR Software for Large Healthcare Systems
Enterprise EHR boosts scalability, interoperability, and governance for large healthcare systems.
Clinical Operations Burnout Is Undermining Patient Enrollment
When coordinators are buried in documentation, scheduling, and data reconciliation, patient engagement is the first thing to go. And when engagement drops, retention drops with it.
AI Is Becoming the Front Door to Healthcare — But Millions of Patients Can’t Get Through It
AI genuinely could reduce barriers, by making health information more conversational, more personalized, and easier to act on. But that only happens if the people building these tools decide, from day one, that accessibility isn’t optional.
AI Made Healthcare Smarter – The Next Step is Making It Simpler
A newly diagnosed person experiences healthcare as a complicated maze of physicians, specialists, pharmacies, insurers, deductibles, formularies, prior authorizations, benefit explanations and coverage rules that rarely speak to one another and often contradict each other. Better AI can help.
Timing Meets Context: Aligning Patients and Providers with AI-Enabled Omnichannel Engagement
When awareness is timely, aligned, and delivered through trusted channels, such as EHR systems or digital media, it strengthens every step of the patient journey, especially understanding potential options such as ground-breaking clinical trials or targeted diagnostic testing.
Medicaid’s Housing Problem Isn’t Placement — It’s What Happens Next
If we focus only on placement, we will continue to see cycles of progress and regression. If we focus on stability — on what happens after the keys are handed over — we have an opportunity to change those trajectories more permanently.