Howard Landa

AI is rapidly transforming utilization review by creating an “arms race” between payers and providers, but also a real opportunity to fix one of healthcare’s most broken systems. From real-time approvals to smarter appeals, AI can reduce friction, improve accuracy, and free clinicians to focus on complex care. And with denial overturn rates often reaching 50–80%, the opportunity is clearly not clinical… it’s operational. The future is promising, but success will depend on thoughtful governance, transparency, and keeping humans meaningfully in the loop. Done right, AI won’t just scale decisions it has the potential to improve them. If it means better payor-provider collaboration creation of engaging models of care impacting health outcomes - The risk is worth it!!! Curious how others are seeing this… Humata Health Silna Cohere Health Availity Waystar Prosper AI Hippocratic AI Optum Xsolis MCG Health

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AI is no longer a distant concept in medicine. It is becoming part of clinical practice and hospital operations, with clear benefits for patients and professionals. Today, AI tools are supporting radiologists in reading imaging studies with greater precision, identifying patients at higher risk of complications through predictive analytics, and helping streamline administrative work so clinicians can focus more on patient care. These early applications are showing measurable improvements in accuracy, efficiency, and patient engagement. Personalized treatment recommendations informed by genetic and clinical data are on the horizon. Drug discovery pipelines are being accelerated by machine learning, reducing the time needed to move promising compounds from the lab to the bedside. Clinical decision support will increasingly combine real time patient data with established guidelines to give clinicians stronger insights at the point of care. Responsible adoption, careful oversight, and a patient centered approach will determine whether AI reaches its full potential in healthcare. Follow Zain Khalpey, MD, PhD, FACS for more on Ai & healthcare. #AIinHealthcare #DigitalHealth #MedicalAI #HealthcareInnovation #HealthTech #FutureOfMedicine #AI #PrecisionMedicine #ClinicalAI #HealthcareLeadership #MedTech #HealthcareFuture #ArtificialIntelligence #DataScience #HealthInnovation #PatientCare #MachineLearning #HealthcareAI #HealthcareTransformation #HospitalInnovation

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An important trend in healthcare right now is revenue stability for Federally Qualified Health Centers. CMS’s push toward Advanced Primary Care Management (APCM) is a big shift, especially for FQHCs that are already stretched thin. Done right, APCM turns care coordination and chronic disease management into predictable monthly revenue instead of uncompensated work. What we keep seeing, though, is confusion. APCM only works when there are real people behind the phone, not chatbots or automated messages. Care coordination requires trust, follow-up, and time, the things most providers don’t have more of. We’ve built a turnkey model that supports FQHCs without adding burden to their teams, while still meeting CMS expectations and performance metrics. This is a space we’re fired up about because it represents something rare in healthcare: better care for patients and sustainable revenue for providers. If you work with FQHCs, reach out to schedule a demo of our platform.

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