For doctors, taking notes and inputting them into electronic medical records is so cumbersome that they often have to use human medical scribes to do it for them. That’s changing as more hospital systems turn to artificial intelligence-based transcription tools.
However, some doctors feel the tools available today are just not accurate enough. “If there were a really smart voice transcription service that was 99% accurate, I would definitely use it,” says Bon Ku, an emergency room doctor at Thomas Jefferson Hospital University and director of the university’s Health Design Lab. “A lot of times, I feel like I’m a data-entry clerk.”
For the last several years, big tech companies have been jockeying to be the one who finally delivers the kinds of tools doctors have been craving.
This week, Google launched open source machine learning software to help doctors make sense of patient medical records. The platform is composed of two programs. One, an API for healthcare-related…