Kin Health raises $9M to build an AI notetaker for patients | TechCrunch

"The market for AI notetaking devices has exploded in the U.S., with the category generating over $600 million in revenue last year, according to a Menlo Ventures report. And as startups like Heidi Health and Freed, have shown, there's decent demand for this tech in healthcare, where doctors and clinics see the potential for an AI assistant that can help them keep track of patient conversations, surface health records, and lower their administrative burdens."

"But those apps don't do much for patients, which is why Kin Health is building a notetaker that can transcribe your visits to doctors, parse medical advice, and surface next steps when required. To that end, the startup has raised $9 million in a seed funding round led by Maveron."

"The app is similar to a meeting notetaker: you can record doctor visits, and it will return an AI summary of the meeting, with the next steps, all of which you share with family and friends if you want to. It also lets you note down questions that you might want to ask during your next visit."

"Kin Health says it encrypts all patient data, and that summaries are kept private by default. The tool is not HIPAA-certified, as it is a patient-facing one, but it adheres to the same privacy standards, the company said."

The market for AI notetaking devices in the U.S. generated over $600 million in revenue. Demand exists in healthcare because clinicians want help tracking patient conversations, surfacing health records, and reducing administrative work. Kin Health targets patients by transcribing doctor visits, parsing medical advice, and presenting next steps. The app records visits and returns an AI summary that can be shared with family and friends, and it supports adding questions for future appointments. Kin Health encrypts patient data and keeps summaries private by default. The app is not HIPAA-certified because it is patient-facing, but it follows the same privacy standards. The company aims to convert stored health data into a usable health graph.

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