By Anita Nayak – Across hospitals, health systems, and provider organizations, leaders are exploring how AI can support documentation, predictive analytics, patient engagement, revenue cycle management, administrative workflows, and clinical decision making.
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By Tharun Kumar Nallamothu – Healthcare organizations are investing heavily in artificial intelligence, but in practice, only a small number of systems make it past the initial rollout and actually get used at scale. The gap isn’t coming from a lack of innovation. If anything, the pace of model improvement has been impressive.
By Christine Chasse – Artificial intelligence is no longer a future concept in health care; it is already shaping documentation, triage, utilization review, patient communications, clinical decision support, and digital health products. Used well, AI can reduce administrative burden, organize complex information, and help clinicians and patients move through the system more efficiently.
This month’s AI report includes news and updates from BCC Research, Viz.ai, PatientGenie, emtelligent, CliniComp Qventus, HAPPI Health, Clarity RCM, EnableComp, Arcadia, Doctronic, Simple HealthKit, AGS Health, Pacific AI, HOPPR, SimplePractice, Talkdesk, Revecore, Philips, & more.
By Tharun Kumar Nallamothu – Lessons from Real Clinical Environments – Artificial intelligence in healthcare has reached a point where technical capabilities are no longer the primary limitation. Models can transcribe clinical conversations, extract insights, and support decision-making with increasing accuracy.
By Zac Amos – Artificial intelligence (AI) is helping healthcare organizations automate administrative tasks, improve workflows and support better decision-making. However, implementing AI without careful planning can create new challenges for employees, leading to AI burnout instead of greater efficiency.
By Michael Meucci – For nearly two decades, healthcare organizations have treated the electronic health record as the center of the digital universe. The technology helped healthcare transition from paper charts to digital records, standardized documentation, enabled billing workflows, and created the operational backbone modern health systems depend on today.
By Dr. Mark Pratt – 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 Nikhil Bavaskar – Healthcare organizations have spent the last few years testing where artificial intelligence can help. Many have moved beyond pilot projects. Today, AI supports clinical documentation, patient communication, prior authorization, scheduling, and revenue cycle work.