INSUBCONTINENT EXCLUSIVE:
Authors: TheIndianSubcontinent News AgencyWhen trying to figure out what to do after an extensive career at Google, Motorola, and Flipkart,
out one of the most annoying pain points for doctors in any office: writing down notes and documentation
working with patients, rather than having to put everything into a medical record system, or even writing those notes down by hand
That seemed like the lowest hanging fruit, offering an opportunity to make it easier for doctors that see dozens of patients to make their
The solution aligns with the commoditization of voice and machine learning
document all the interactions they do with patients
said it has raised a $15 million funding round led by Venrock, with First Round, Social+Capital, Nat Turner of Flatiron Health, Marc
Benioff, and other individual Googlers and angels
actually the voice recognition part
Trying to start a company like Suki four years ago would have meant having to build that kind of technology from scratch, but thanks to
incredible advances in machine learning over just the past few years, startups can quickly move on to the core business problems they hope
That problem is even more complex because each doctor has a different way of documenting their work with a patient, meaning it has to take
extra care in building a system that can scale to any number of doctors
takes all that, it captures it into a clinically comprehensive note and then pushes it to the underlying electronic medical record
[Those EMRs] are the system of record, it is not our job to day-one replace these guys
be others looking to build a scribe for doctors as well
There are startups like Saykara looking to do something similar, and in these situations it often seems like the companies that are able to
capture the most data first are able to become the market leaders
building a medical transcription company
