Abridge transforms patient-clinician conversations into structured clinical notes in real-time, powered by the most advanced generative AI in healthcare.
Doctors tell us we are saving them hours a day of administrative work and have brought back the joy of practicing medicine. Hospital executives say things like “I get love letters from clinicians telling me that Abridge has saved their practice, their marriage, their mental health."
We are growing rapidly and have a number of open positions in our technical organization, including roles in our fullstack + platform + machine learning teams.
They aren't exactly novel, it's mostly an attempt to connect the modern color science with actual software development. Image processing in software (even that has the dominating market share like Photoshop) is still largely built around computing convenience, not around human perception or the mapping of physical world to it. Which is sad to see as the models are known for a long time but still mostly hidden in academic obscurity. I hope people like Björn Ottosson will help to change that.
OEMs perform rigorous stress-test cycles during development. For example they might require a machine to suspend+resume 1000 times in a row. This shakes out both OS + driver issues before they go to market. This level of rigor is important to avoid support calls + RMAs, which are expensive for the OEM.
Many Linux drivers can't pass this level of rigor. Back when I used to care about this professionally (before 2014), video + wifi drivers were some of the worst culprits. Each variant of each chipset would need its own driver, and often those drivers needed tweaks for stability.
Firmware implementations are (were?) also built + tested exclusively for Windows, and Linux is different enough that it can trigger untested/broken code paths or otherwise cause firmware to misbehave. Linux also has its own set of issues with ACPI + UEFI.
Canonical, RedHat, etc have teams dedicated to enablement and testing for OEMs like Dell that ship computers with Linux. Back when I was involved, Canonical had 60+ people dedicated to this, and qualified hundreds of SKUs each year. Even then they don't cover all hardware. The fixes+workarounds those teams produce also take time to make their way upstream.
Part of the goal was to have a large image of the remote person’s face at a height that’s comfortable for interaction and conversation, which necessitates a screen mounted fairly high up.
To your point, I bet a picoprojector mounted down low could be made to project onto a lightweight screen in place of the tablet.
(The tablet arrangement worked well enough in practice, and we used a tablet that had already suffered child-related damage)
Another commenter referenced a programmable roomba from iRobot - see above. I agree that might be ideal. The RVR might not be stable enough to haul around a tablet sitting atop what amounts to a big lever, but a camera mounted (low) on an RVR could be a lot of fun.
Great suggestion. The extra sensors in particular would be a welcome improvement. I had the Snap Circuits rover on hand already, so my total outlay was about $20.
A big question when building the base is whether it's heavy/wide enough to be stable. Mounting the tablet up high is great for interaction, but results in a high center of gravity and a long moment arm conspiring to cause instability. From the specs it looks like the iRobot might be both heavier and wider than the Snap Circuits rover, so it might be a great choice.
Holidays in 2020 are a little different. My family is spread out around the country, and due to the pandemic we're unable to gather together. To include other family members in our holiday celebrations, I built a telepresence robot from a Raspberry Pi, a Snap Circuits rover, and an iPad.
Love it! Due to a back condition, a friend had to work remotely for a year, and her office got her one of those commercial ipad based telepresence robots - she loved it and really helped her feel in the office.
Great you've been able to get the vast majority of the benefits so cheaply!
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Abridge transforms patient-clinician conversations into structured clinical notes in real-time, powered by the most advanced generative AI in healthcare.
Doctors tell us we are saving them hours a day of administrative work and have brought back the joy of practicing medicine. Hospital executives say things like “I get love letters from clinicians telling me that Abridge has saved their practice, their marriage, their mental health."
We are growing rapidly and have a number of open positions in our technical organization, including roles in our fullstack + platform + machine learning teams.
Roles + salary ranges listed at https://abridge.com/careers