Is Your Healthcare Organization Ready to Implement AI?
A checklist for AI readiness from Nordic aims to help healthcare organizations avoid failure.
New Technology is Revolutionizing Clinical Trial Data Management — Here’s How Research Hospitals Can Seize the Moment
Options abound for hospitals looking to capitalize on these new data transfer technologies, but so do potential pitfalls. For any hospital considering adopting these new solutions, here are some of the key questions and considerations that should be top of mind.
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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.
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.
Scaling AI in Health Systems: From Innovation to Sustainable Implementation
By adopting interpretation-driven, clinically intelligent technologies, revenue cycle teams can ensure that every nuance of care is accurately represented. This safeguards revenue integrity while maintaining the highest standards of compliance.
Medical Education Is at a Crossroads. AI Isn’t the Problem — It’s the Mirror
The real question is whether we're being honest with ourselves about what medical education was designed to produce, and whether our current system is still doing that job.
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.
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 Hidden Million-Dollar Problem Lurking in Hospital Operations
As the industry continues to pour money into AI and other emerging technologies, a more disciplined era of healthcare technology investment is taking shape.
Employers are Scaling AI Use in Health Benefits, but Face Challenges
A new WTW survey found that employers are rapidly adopting AI in health benefits despite concerns about governance, resources, privacy and compliance.
AI Health Check: No Governance, No Trust
Will doctors or patients who are burned by one AI solution trust the next one they’re given? Probably not. That’s why every provider rolling out AI tools has to understand this risk and build governance into its development process.
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 Hidden Administrative Tasks Draining Small Practices
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
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.
AI in Digital Health, From Early Detection to Responsible Deployment
When structured oversight meets practical innovation, the result is systems that are not only technically sound but actually usable.
Why AI Fails in Healthcare Clinics (And What Actually Works)
When clinics select an AI partner - especially for AI Voice Agents - the expectation is that the tool gets the job done. Without integration into your systems and workflows, that rarely happens. Clinics end up with an incomplete solution that never adds the expected value and fails at the exact use cases AI should be best at.
ChatGPT Wants to Improve Your Health — ChatCPR Might Actually Save Your Life
Researchers from UC San Diego, Johns Hopkins and UPMC have developed an AI-powered CPR coaching tool called ChatCPR that outperformed human 911 dispatchers in guiding bystanders through CPR. The team released the tool as an open-source resource, with the hopes that the right companies and emergency-response organizations can deploy it broadly.