A Free Webinar Asks: Can AI Make Hospital Teams Safer?

Picture a hospital unit during a shift change. A nurse hands off a patient to the next team. A detail gets lost. Maybe it's a medication dose, maybe it's an allergy noted in a chart nobody had time to read closely. These small gaps, repeated across thousands of hospitals every day, are where preventable harm often begins.

For nearly two decades, a framework called TeamSTEPPS has tried to close those gaps. Developed through a partnership between the Agency for Healthcare Research and Quality and the Department of Defense, it teaches healthcare workers structured ways to communicate, check in on each other, and catch errors before they reach a patient. Think of it as a shared playbook, the kind a sports team uses so that every player knows their role and when to speak up.

Now the American Hospital Association wants to explore what happens when that playbook meets artificial intelligence. On Wednesday, December 9, at 1:00 pm ET, the AHA's Team Training program is hosting a free, one-hour webinar called "Enhancing TeamSTEPPS with Artificial Intelligence." It's a modest event on the calendar, but it points to a much bigger question hospitals everywhere are grappling with: how do you fold new technology into systems built on human judgment and trust, without losing the human part.

What the Session Covers

The webinar will be led by Dr. Muhammad Eltawansi, a TeamSTEPPS Master Trainer and risk manager at Dr. Soliman Fakeeh Hospital in Jeddah, Saudi Arabia. His background in quality and patient safety gives the session a practical, on-the-ground framing rather than a purely academic one.

According to the AHA's description, participants will look at how AI tools such as natural language processing, predictive analytics, and real-time dashboards might amplify the core principles TeamSTEPPS already teaches. Natural language processing, in plain terms, is software that can read or listen to human language and pull out useful meaning, the kind of technology behind voice assistants and smart transcription tools. Predictive analytics uses patterns in past data to flag risks before they happen, similar to how a weather forecast warns of a storm days in advance. Real-time dashboards simply display information as it updates, giving teams a shared, current view instead of relying on memory or scattered notes.

The session promises case studies and interactive discussion, aimed at showing how these tools might reduce errors and improve outcomes. No prior AI knowledge is required to attend. A basic familiarity with how healthcare teams function day to day will help attendees get more out of the conversation, since the whole premise rests on marrying technology to existing team dynamics rather than replacing them.

The learning goals are fairly concrete. Attendees should walk away understanding the fundamentals of TeamSTEPPS and its role in team performance, able to identify key AI technologies relevant to healthcare settings, and equipped to explore how AI might improve communication, decision-making, and workflow efficiency. The session also aims to help participants analyze real-world examples of AI and TeamSTEPPS working together, and to leave with actionable strategies they can bring back to their own units.

This isn't just a theoretical exercise, either. Participants who complete all continuing education requirements can earn 1.00 Joint Accreditation credit hour. That credit is administered by Duke University Health System's Clinical Education & Professional Development program, which holds accreditation through the American Nurses Credentialing Center, the Accreditation Council for Pharmacy Education, and the Accreditation Council for Continuing Medical Education. To qualify, attendees need an active Duke OneLink account and must watch the webinar live, not on replay. Setting up that account is a one-time process, and once it's done, it carries forward for future AHA Team Training webinars.

It's a small administrative detail, but it matters. Continuing education credit is often what gets a busy clinician to carve out an hour from a packed schedule. Without it, even the most useful training session can struggle to draw an audience.

The webinar fits into the AHA's broader Team Training offerings, which run a regular slate of sessions and maintain a library of past recordings for hospitals that want to revisit the material or train new staff on their own timeline.

Why It Matters

Hospitals have spent years investing in frameworks like TeamSTEPPS because communication failures remain one of the most persistent, preventable causes of patient harm. Checklists, structured handoffs, and shared language for speaking up when something seems wrong have measurably improved safety in many settings. The challenge now is that AI tools are arriving in hospitals quickly, often pitched purely as efficiency gains, without much attention to how they interact with the human systems already in place.

A dashboard that updates in real time sounds helpful, but only if the team actually trusts it and knows how to act on it together. A predictive algorithm that flags a patient at risk of deterioration is only useful if the nurse who sees the alert feels empowered to speak up and the physician is primed to listen. That's the real promise of pairing AI with TeamSTEPPS: not technology for its own sake, but technology woven into the communication habits that already save lives.

There's a risk worth naming, too. If hospitals adopt AI tools without training staff on how to integrate them into teamwork, they could end up adding noise rather than clarity, another alert to ignore, another dashboard nobody checks. Sessions like this one are a modest but meaningful attempt to get ahead of that problem, treating AI not as a replacement for human coordination but as one more tool teams need to learn how to use together. For hospitals moving fast on AI adoption, that distinction may end up mattering more than any single algorithm.