To improve the precision of its medical chatbot, this US technology company consulted iMerit on how to utilize and implement a new medical dataset to ensure accurate medical advice for users.
“We needed a partner who could provide the expertise to utilize this data safely.”– Principal Product Manager, Healthcare AI
Problem
Medical large language models are changing the way people research their health. After acquiring a large corpus of medical data, this American multinational technology company needed to evaluate this data for use in their consumer-facing healthcare application.
Solution
To establish a workflow for auditing the data, iMerit suggested a pilot project involving a smaller segment of the data. iMerit assembled a team of nurses to work in a consensus workflow with escalations and arbitration provided by a US Board Certified physician.
Results
After evaluating the results, this company and iMerit discovered that with edge case discussion and guideline revision, the nurses could reach consensus in 99% of cases. This allowed the team to revise the project design to a single-vote structure with 10% audit, thereby reducing project costs by over 72%.
BOTTOM LINE IMPACT
72%
Project Cost Savings
