How A.Team Helped Supercharge Nurses' Productivity with AI for a Fortune500 Health System

It’s a classic healthcare sticking point: Documentation eats in the time that nurses can spend with patients. So one Fortune500 health system partnered with A.Team to build a data platform that would leverage generative AI to reimagine how clinical reporting is done throughout its network of hospitals.

The Challenge: Reduce Nurses’ Burnout without Compromising Patient Data

Nurses' lives are filled with tedious work, leading to burnout and staffing shortages with clinical reporting as the main time-consuming culprit. After the patient is discharged, notes taken by the practitioners are sent to the billing team and then onto the insurance provider.

If a denial event occurs, it triggers a dispute resolution cycle where the practitioners—mainly nurses—must write up a 45-page rite of analysis to provide to payers, which takes an immense amount of time and attention away from patient care.This health system wanted to use the latest AI technology to solve this problem, but lacked the in-house expertise to accomplish it.

The A.Team Solution: Developing an LLM to assist with dispute resolutions

This health system partnered with A.Team to build a data platform, leveraging AI, to re-imagine and innovate the way clinical reporting is done throughout its network of hospitals. It's designed to not only save nurses time and automate daily tedious work, but will also improve and streamline the quality of the reports, which will help patients in the end.

With A.Team I know that whoever I was interviewing also really wanted to be a part of the initiative.

The long term vision is for this platform to expand to other use cases as well, beyond nurses, and create a comprehensive, user-friendly experience to access any patient’s medical records in one central place that feeds from many disparate systems. A.Teamers on this mission are embedded across several teams to bring this vision to life, both towards the MVP and in the long term, working hand-in-hand with the health system’s internal tech team.

"The appealing factor of working with A.Team was the business model," said the company's Director of Innovation. "In an AI world, you have to have really passionate people. With A.Team I know that whoever I was interviewing also really wanted to be a part of the initiative."

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