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Please incorporate given diagnoses into progress notes

Progress notes sometimes do not reflect the given diagnoses. For example, in the notes for a client with a diagnosis of paraplegia, some of her disability-related behaviors, such as using a wheelchair, were misinterpreted. Similarly, in the notes for a client with a diagnosis of Dissociative Identity Disorder, evidence of different parts (such as childlike voices) were not accurately described as parts. Can AI take these diagnoses into account when describing behaviors?

4 comments

This request was merged into another request

Comments4

  • Kellyanne Richmond

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    Jul 23

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    Merged request

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    3 votes

    Diagnoses in the client details...

    Whenever I try to prompt the smart sections in templates or the upheal assistance to utilize the documented diagnoses located under client details it will not do it. It will come up with diagnoses or even differential diagnoses located only in the progress notes (which are there because it will not only reference the listed ones) and I have to keep correcting it. this gets frustrating because I try to prompt the template to do a justification for the diagnoses but it will come up with different ones.

  • Kathryn Eden

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    Jul 23

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    Merged request

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    3 votes

    Always Generate Documentation Using the Clinician-Selected Diagnosis

    One feature that would greatly improve confidence in AI-generated documentation is ensuring that the note is always written using the diagnosis selected by the treating clinician.

    Occasionally, the AI appears to reinterpret the client's presentation through a different diagnosis than the one I have assigned. While diagnostic suggestions may be useful in certain contexts, progress notes should not automatically shift to a different diagnostic formulation.

    The treating clinician is responsible for establishing the diagnosis. Once that diagnosis has been selected, the AI should generate the documentation through that diagnostic lens unless the clinician intentionally changes it.

    If the AI identifies information that may warrant reconsidering the diagnosis, it could optionally provide a suggestion or prompt for clinician review, but it should not change the framework of the documentation itself.

    This would improve clinical accuracy, consistency, and confidence in AI-generated notes while respecting clinician judgment.