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.
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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.
By Adam Cohen – By any reasonable measure, healthcare leaders have earned the right to be skeptical about AI. And nowhere is that skepticism more justified than in document processing. Every week, another platform promises to eliminate friction, automate complexity, and transform how healthcare organizations handle information.
By Freddie Sanchez – The recent Canvas data breach sent shockwaves through education, but it’s a situation all too familiar for those of us in healthcare. For years, our industry has consistently been a top target for bad actors, and that trend is unlikely to change anytime soon.
By Dr. Scott Schell – Healthcare organizations did not adopt AI for novelty. They adopted it because margins are tightening, labor is constrained, and the operational burden of modern healthcare is becoming increasingly difficult to sustain. In several areas, AI has already delivered meaningful value.
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.
By Harshit Jain MD – In healthcare, authority is built over decades and can be compromised quickly. In the AI era, authority will belong to organizations that own their intelligence layer, not rent it.
By Deepak Kumar – Every physician knows the frustration. A patient needs a medication or procedure. The clinical case is clear. But before care can begin, someone on staff must navigate a phone tree, fax a form, wait days for a response, and then, far too often, start the process over after a denial.
By Zac Amos – Automation has supported unprecedented operational efficiency in the healthcare industry. Yet, it has also brought a unique set of challenges. With the Health Insurance Portability and Accountability Act constantly evolving to address new technologies and the privacy concerns they raise, achieving absolute compliance can often feel like a moving target without the right guardrails.