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PlatformOS

DeckSend

AI Agents

<MCP>

MCP

NEW

AI-assisted Mania Diagnosis

Current Solution

Healthcare providers use many different approaches to help diagnose mania to patients, and these methods aren't widely known/practiced by community bystanders/family members. One of these approaches is asking the patient open-ended questions; questions that require more complex thought and improvisation. A manic patient will often be able to answer straightforward questions very easily, but open-ended questions can cause a manic patient to ramble and lose their train of thought. There are a handful of pages that indicate questions healthcare providers often ask patients, but almost all of them have to do with their mental state to some degree. Often these questions can agitate a patient more and won't properly diagnose mania.


Questions providers ask patients to evaluate mental state:

https://psychscenehub.com/psychpedia/bipolar-diagnostic-interviewing/


Improved Solution

What if there was a quiz/app that asks a various range of questions, both open-ended and straightforward? The patient can answer these questions and the app can process their verbal responses and "diagnose mania". Diagnose is a strong word, so rather than that let's use 'suggest'. In this case, the friend/community member can have a more confident state of mind and plan of action (call their provider, admit them to the hospital). Not only will this increase the confidence of the community member, but the response will be backed formally (to some degree) by pre-determined metrics.


Rather than asking questions specific to their actions/mental state, I am suggesting open-ended philosophical questions that require some complex and improvised thought.

Interesting open-ended philosophical questions:

https://www.scienceofpeople.com/philosophical-questions/


High level product strategy

Train a ML model to understand what types of responses strongly suggest mania to a point where the model can confidently suggest mania within a certain margin of error. Plug this model into a simple front-end UI that is accessible both to the patients providers but also members of the patients community/inner circle.

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Comments

Charlie Donnelly

Mar 9, 2023

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