Doctor note generation at Freed focuses on customization and personalization, to build “something to make clinicians happy.” Indeed, comments posted by physicians online about the product are highly positive, such as “I got two hours of my day back.”
In pursuit of personalization—without adding complexity to the interface—Freed starts a generic ambient clinical note based on ChatGPT, then adds a post–processing step to adapt the tone and style of generated text to the medical specialty as well as to the individual physician’s preferences.
In addition to doctors’ notes, Freed automatically generates a patient instruction letter that is highly useful because it’s based on the conversation during the session.
Jack Jeng, MD, Head of Clinical Affairs at Freed, says they started by targeting primary care, but have seen the product used for a wide variety of specialties, notably mental health, physical therapy, and occupational therapy. Their market is small to medium-sized practices.
Jeng says they treat the service for each specialty “like its own product.” As one example of the difference between specialties, he points out that most doctors want the note to screen out informal chat about family relationships, pets, or vacations, but that those details matter a lot in mental and behavioral health.
Although the note-generation process is fully authomated, a team of physicians at Freed checks notes that have transcription problems in order to improve personalization, as well as accuracy in general. Because new medications come on the market frequently, the model requires special training to spell names correctly.
The interface is simple: “No training needed.” The service is offered online, and the physician starts and stops recording with a single click. The physician needs to remember to verbalize what they doing during a physical exam.
To make corrections or add detail later, they can use a “Magic edit” verbal interface to request changes, similar to the recording of the transcription itself. Physicians tend to use a mobile device to record the session and edit the note later on a desktop system.
After a doctor has created a note in their personal style, they can use Freed’s “learn format” feature to use the same style in future notes.
Jeng thinks that differences between vendors will emerge in the next 6-12 months, and the crowded market will thin out as the best vendors are revealed.
Freed will soon release its integration with the most popular EHRs used by small and medium-sized practices. Watch the video for more details and be sure to check out our full list of AI medical scribes.
Learn more about Freed: https://www.getfreed.ai/
Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT.
And for an exclusive look at our top stories, subscribe to our newsletter and YouTube.
Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you’re interested in advertising with us, check out our various advertising packages and request our Media Kit.
No comments:
Post a Comment