The clinician who narrowed her questions
A cognitive-health practitioner used AI-assisted research to compress a sprawling intake into a tighter, more useful conversation.
Context
A neuropsychology-trained practitioner working with adults reporting brain fog, slow recall and afternoon mental fatigue had inherited a 47-question intake form from her previous practice. Sessions consistently overran. New clients arrived tired before the clinical conversation even started, and she found herself relying on instinct in the back half of the appointment because the front half had spent her attention budget. She suspected at least a third of the questions were either redundant, weakly evidenced, or asked the same construct in a slightly different way.
The shift
She stopped treating her intake as a heritage artefact and started treating it as a question set she was responsible for. Rather than redesigning it from intuition, she used a sourced-search AI to read across the recent literature on cognitive complaints in non-clinical adults — sleep architecture, post-prandial responses, perimenopause, sub-clinical thyroid, iron status, and screen-load patterns — and to surface which constructs had the strongest signal-to-question ratio. The aim was a smaller, sharper aperture, not a more clever form.
Approach (in shape, not in recipe)
Across three weekend sessions she ran a focused literature pass with a research-grade AI tool, requiring linked, dated sources for every recommendation it surfaced. She translated each well-supported construct into at most two plain-language questions and discarded items the literature could not back. She then sat with the draft for a week, removing anything that duplicated information already captured by her wearable-data review or the structured cognitive screen she ran in-session. The final intake settled at 18 questions, grouped by the underlying signal they were trying to read, with a short clinician-facing note beside each one explaining why it earned its place.
What an honest observer would notice
Average intake time dropped from roughly 38 minutes to 22 minutes across the next twelve clients, leaving more of the appointment for the clinical conversation she was actually trained to have. Two clients independently commented that the new form "felt like it was asking about me, not about a checklist." She also noticed her own end-of-day fatigue ease — fewer questions to hold meant fewer threads to track.
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