The power trio of Mayo Clinic, Epic, and Abridge are joining forces to bring the magic of generative AI to the “scaffolding of the healthcare system” – nurses.
The new solution will work similar to Abridge’s core ambient documentation tools for physicians, but optimized specifically for the unique complexity of nursing workflows.
- Whereas physician conversations usually involve capturing the medical history and patient’s story, nurses are also performing and documenting tasks like vitals collection or turning patients to avoid bed sores.
- This data all ends up in different places within the EHR, and requires a new user experience to work backwards from.
Mayo Clinic nurses are at the center of the collaboration.
- The development team is engaging with them directly to ensure the new solution meets the needs of all nursing and patient care workflows along with regulatory requirements for ambient solutions.
- Nurses will also help prioritize the workflows where the tool will have the highest impact, and will be “instrumental” in designing and testing the overall solution.
Epic’s involvement will allow the tool to integrate seamlessly into its EHR and inpatient nursing workflows, another sign that the company is all-in on quickly advancing its GenAI roadmap.
- It also represents one of the most significant efforts to stem from the Epic Workshop program announced last year, which features third-party vendors co-developing technology with Epic.
The combination of Abridge’s AI stack, Epic’s development, and Mayo Clinic’s nursing expertise should help accelerate the development cycle, and the health system is looking to get the tool in the hands of nurses before the end of the year.
The Takeaway
Nurses perform a massive breadth of activities in fast-paced environments, and they’re grappling with the same documentation-driven burnout as the rest of the industry. Toggling between patient duties, documentation, and staff communication is a demanding use case for ambient AI, but this team appears to have all the pieces it needs to make it happen.
