By Mat Steinlin – According to the AMA’s 2026 Physician Survey on Augmented Intelligence, over 80% now use AI in a professional context (roughly double the share reported in 2023). The same survey found physicians are significantly more concerned about patient privacy when using non-institutional AI tools (71%) than institutional ones (42%).
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By Nikhil Bavaskar – Artificial intelligence is entering a new age of health care. Hospitals and health systems have been deploying AI in recent years to summarize clinical notes, automate administrative work, and enhance patient communication. These tools have shown measurable improvement in clinicians and staff completing tasks faster.
By Ubaid Pisuwala – SMART on FHIR pilots often pass sandbox testing, then fail in production. Here’s what token refresh, per-site approval, and scope handling actually require.
By Adam Z. Kawalek MD – It’s flu season in America. On a Tuesday morning, two workers are hit with the same virus. One is a salaried engineer at a tech start-up, and the other is a sorter in a fulfillment warehouse. Same illness, same city, same conservative management at home. The administrative difference, however, is profound and can cost one of them a paycheck and eventually a job.
By Mark Ferrari – Healthcare has gotten very good at producing third-party risk scores. We have platforms, dashboards, questionnaires, and assessments that can generate a number for almost any vendor relationship. Leaders like scores. They are simple. They are comparable. They fit into a dashboard and offer a way to simplify the risk of a vendor population that keeps growing.
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By Sandra Johnson – There is a better way, one that allows systems to obtain new EHRs with more transparent financial impact. The System as a Service (SYaaS) solution offers a more predictable and manageable approach that delivers all the benefits of a modern EHR but without the enormous upfront costs and additional expenses that can add millions to the investment.
By Natosha McNeal – Agentic orchestration is what makes scale achievable. It sets the boundaries an agent operates within and records every step it takes, with a clinician or compliance check built in wherever the stakes call for it. This allows AI to take on real work while the people accountable for it remain in control.
By Nargiza Noimann Zander – Digital mental health programs should be judged by whether they expand access and contribute to appropriate care. Engagement is part of that assessment, but it should never be asked to carry the full weight of clinical success.