Abridge: A mission driven approach to machine learning for healthcare conversation

Authors

  • Sandeep Konam
  • Shivdev Rao

DOI:

https://doi.org/10.5912/jcb994

Abstract

In this brief case study, we describe an approach to structuring and summarizing information from one of the largest untapped sources of data in healthcare delivery -- spoken conversations. Abridge’s mission is to shift agency to the people and families at the center of those spoken conversations, using bleeding-edge machine learning and human-centered design. The space of conversation understanding is largely untapped and we will discuss our scientific approaches to business challenges that map to the company’s mission of helping everyone better understand and follow through on their healthcare conversations.

Published

2021-09-02