Analytics and Pop Health

Bridging the Gap Between AI Innovation and Clinical Workflow Integration

By Tharun Kumar Nallamothu – Artificial intelligence has emerged as a transformative force in healthcare, with applications ranging from clinical documentation and decision support to predictive analytics and patient engagement. Despite rapid advancements in machine learning models, many healthcare organizations continue to struggle with translating AI innovation into measurable outcomes in real-world clinical settings.



The Next AI Crisis in Healthcare Is Verifiability, Not Adoption

By Ome Ogbru PharmD – Artificial intelligence is rapidly becoming embedded in healthcare and scientific communication, but the industry is approaching a critical inflection point. The challenge is no longer whether large language models can generate convincing clinical or scientific content. It is whether healthcare organizations can reliably govern these systems and trust the information they produce.


AI in Healthcare News and Updates

This month’s AI report includes news and updates from Azra AI, RevealDx, VisualDx, Perplexity, Qure.ai, AMA, Bastion Intelligence, Ambience Healthcare, Briya, NextGen Healthcare, Supreme Group, Artera, RxUtility, Revecore, Lumeris, Lunit, IKS Health, Zebra Technologies, Aiva Health, & more.




AI Challenge Q&A: What Healthcare AI Needs Next: Data, Trust, and Real-World Readiness

As HL7 International launches its second annual Global AI Challenge, a worldwide competition spotlighting solutions that use standards-based data to solve real healthcare problems, we spoke with HL7’s Chief AI Officer, Dr. Daniel Vreeman about what last year’s inaugural competition revealed, where healthcare AI is headed next, and why interoperability is a foundation for innovation.