Should Patients Be Bringing In More Data To Their Doctors Visits? Everyone (doctors on LinkedIn) talks about how real patients aren’t like the vignettes in these AI papers. But…maybe our goal should be making the visits as similar to the vignettes as possible. You’d do this by getting as much information as possible about the patients from any source available, without the patient needing to remember all the details themselves. Things like: > Making it easier for providers to pull data from health information exchanges across states and parsing the information so that only the relevant stuff is there > Being able to share relevant ChatGPT history with your doctor for insights into the progression of your disease or can pull /history from years ago (e.g. they asked about X medication side effects 3 years ago, they were on that med) > Creating collaborative ChatGPT-esque workspaces between you and your doctor where autonomous agents handle triaging/intake/monitoring and the doctor can see a summary of what happened > Wearables and home hardware that can more passively monitor conditions so the patient doesn’t have to remember metrics > Alexas, apps, or automated calls that ask the patient about how they’re feeling and progression of their symptoms on a regular basis and synthesize that into the record Smush this all together and it should look like the vignettes they test these models on. The historical argument has been that having all of this data places work on the clinicians that’s unnecessary. Data from different places comes in different formats, so they need to work to stitch it together. Or most of the data is not going to be useful for the doctor when so much of it is junk or inactionable, so it just bloats everything. However the great part is that AI now can act as a good synthesis tool. Semantic interoperability can take data from different places/formats and connect them based on meaning. Contextual Retrieval Engines can take contextual data about the patient and only surface the anomalies or areas to dive deeper into. The barrier is no longer interpretation. [Pst, we talk about this in our upcoming LLMs in healthcare course, which starts 9/8. You can sign up in the comments]