By Wael Khouli MD MBA – I just came off the stage at NPAC 2026 in Charlotte, where I presented to a room full of physician advisors on practical AI strategies for expanding bandwidth. The questions afterward told me everything I needed to know about where this profession stands right now.
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By Kajol Shah – Healthcare organizations are moving quickly from AI pilots to AI-enabled workflows. What began as administrative chatbots and documentation support is now expanding into AI agents that can assist with scheduling, intake, patient communication, clinical documentation, revenue cycle tasks, and information retrieval across connected systems.
By Ubaid Pisuwala – Revenue cycle management has always been the quiet engine behind a healthcare organization’s financial health. But for too long, that engine has run on outdated fuel manual processes, human error, and reactive denial management that costs U.S. providers billions of dollars each year.
By Abhishek Gupta – The World Health Organization estimates a workforce shortage of 11 million health workers across the globe by 2030. More alarming is the finding that this will mostly be in the low- and lower-middle income countries, where the need for a stable workforce is critical.
By Dr. Muhammad Numan – Every week, medical billing errors cost U.S. healthcare organizations millions of dollars. Put that on a yearly scale and the numbers add up fast. According to one estimate, U.S. providers lose over $262 billion annually to revenue cycle inefficiencies alone.
By Nick Bonds, Esq – Artificial intelligence is rapidly transforming the healthcare landscape, touching everything from how drugs are developed to how care is delivered and how claims are processed. For self-funded plans and their partners, AI presents meaningful opportunities to improve efficiency and outcomes.
By April Miller – Medical billing is a critical aspect of running a healthcare organization, but some facilities have to deal with slower manual processes and claim management challenges. As providers face growing financial and administrative demands, many are turning to automated medical billing to improve efficiency and accuracy.
By Arinder Singh Suri – Predictive algorithms are no longer a future-state ambition in healthcare delivery. They are embedded in the electronic health record’s clinicians open every shift, flagging sepsis risk, prioritizing worklists, drafting documentation, and surfacing patients who may need intervention.
By Dr. Girirajtosh Purohit – The statistic that keeps coming up in health IT circles is this one: 67% of healthcare organizations believe AI can improve the claims process, yet only 14% have actually deployed it. For independent practices, the gap between those two numbers is even wider.