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.
Read 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 Dana Finnegan – Inpatient denials have long dominated health system revenue integrity efforts. Yet a surge in outpatient and ambulatory care coding errors and documentation gaps now threatens revenue, often slipping under the radar and creating significant new risks.
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.
The healthcare industry faces increasing pressure to adopt responsible AI governance. Regulatory bodies are already enforcing compliance with bans, penalties, and lawsuits, as seen in the Rite Aid case and insurance claim denials. The emergence of AI governance debt poses rising risks and costs, increasing exponentially over time.