Mar 06 2025 19 mins 1
Ali Morin, Chief Nursing Informatics Officer at symplr, emphasizes the need to focus on the challenges nurses face and AI's potential to reduce administrative burdens and nurse burnout. Significant staffing shortages, scheduling challenges, and increased patient acuity demand better data analytics and technology implementation to allow nurses to spend more time with patients and improve patient care. For successful integration of technology solutions into the nurses' workflow, pilot tests, training of new and experienced nurses, and listening to their concerns and ideas are essential.
Ali explains, "We focus on the nursing informatics side -- that middle communicator between technology and the nurses at the bedside. So, I consider myself a translator. I listen to the clinicians and the nurses who are using our software, and we have a number of solutions that are applicable for direct care nurses as well as nurse managers and nurse leaders. I take in the pain points that they're experiencing today and bring them to our developers and our product teams. This allows them to understand the pain points that nurses are experiencing and how we can help solve some of those problems."
"However, we're taking it to the next level and putting in some additional machine learning around which nurses are still available to pick up shifts and which nurses are still available who haven't maybe met their core component. Today, how that's done: there are spreadsheets, call lists, and post-it notes all over the place. Who have I called? Who have I checked with? Who hasn't seen this manual kind of back-and-forth? And so our work is really to make that balancing phase of the nursing scheduling simpler, pun intended, 100%, but also simpler so that we can make it so those nurses and nurse managers, the nurses can say, I want to work these kinds of shifts. The nurse managers can say, great, plug them in, and off they go. And then it's less time in that kind of back and forth between them."
#symplr #Nurses #HealthTech #HealthcareAI #CompassSurvey
