First Waymo Ride

I recently had the opportunity to ride in a Waymo for the first time. After years of seeing the early prototypes drive around Mountain View during my time at Google, I finally had the chance to actually go for a ride and it was an amazing experience. It was easy to summon the car and there was almost no wait. The ride was smooth, quiet, and we felt safe at all times. Even better, alone in the car, we could focus more on our conversation, the music levels, etc. rather than having to worry about engaging with another person.

Technology drives change

The potential trajectory of using AI interpretation in healthcare is often compared to that of self-driving cars. Initially, everyone is skeptical about whether AI can really do the job at hand due to all the inherent complexities and risks involved. However, much like with self-driving cars, the rapid and sustained advances being made in AI means that AI is already an option for many scenarios and the day will soon come when AI exceeds the performance of the average person doing the job. Similarly, the path to broad adoption of AI interpretation will be staged over time just like with self-driving cars, beginning with low risk use cases and/or situations where no other viable option exists, and then thoughtfully advancing that as regular evaluations both improve the offering and provide increasing confidence. We are very excited to be building towards that future.

Adoption

As healthcare organizations get increasingly comfortable using AI interpretation, we will see rapid adoption and expansion much like Waymo has seen in San Francisco. If you haven’t been to San Francisco lately, you’d be amazed by how ever present Waymo has become. Waymo has surged to capture 22% of the ride sharing market in San Francisco in just 15 months. As people’s confidence has grown it has moved from a novelty (and potentially breathtaking) experience to an integral part of their day-to-day life with over 150,000 trips being taken every week in just San Francisco alone. Waymo can’t come to Boston soon enough in my opinion.

Making communication easy

I believe that there is an enormous amount of potential communication that isn’t happening today due to the inherent friction in the system. This friction results in limited English proficiency (LEP) patients having decreased access to care, especially preventative care. Similarly, for patients in the hospital, casual conversations are basically non-existent, leaving LEP patients deeply isolated. The lack of easy and regular communication leads to many follow-on challenges including decreased patient and clinician satisfaction, increased lengths of stay, higher readmission rates, and worse outcomes. However, as we reduce friction in the system through AI interpretation (and written translation), it will result in an explosion of new communication between LEP patients and all of their providers, leading to greater satisfaction and better outcomes.

Interested in learning more or want to join us on this journey? Please reach out to us at info@jaide.health.

About Jaide Health

Jaide Health is a technology company developing AI-powered healthcare-specific, foreign language interpretation and translation services. Leveraging recent advances in large language models, Jaide Health enables healthcare organizations to improve the overall experience for patients with Limited English Proficiency. Led by “techy clinicians” and security/privacy experts, Jaide Health is venture backed by Inovia Capital, Flare Capital, and Innovation Global. Follow us on LinkedIn and visit www.jaide-health.com to learn more.

Connect with Jaide Health

Follow us on LinkedIn and visit www.jaide-health.com to learn more.