A practical model for between-visit patient data in primary care
A whitepaper outlining a light-for-patients, concise-for-clinicians model for between-visit data that fits primary care.
Primary care carries much of the load for chronic medication. Any between-visit tool has to respect how little time a visit allows. This is a practical model for doing that.
Principles
Capture should be light for the patient. Output should be concise for the clinician. The data should reach the visit without adding to the inbox. And the tool should inform decisions, never make them.
The patient side
The patient logs doses, side effects, protein, hydration, and how they feel, in seconds a day. The burden is low because the structure does the organizing.
The clinician side
The period arrives as a one page summary the patient brings to the visit. It is organized for clinical reading and takes seconds to absorb. It supports judgment and leaves the decision where it belongs.
Why it generalizes
The model is not specific to one drug. It fits any chronic medication managed across long intervals. GLP-1 is where it starts because the between-visit window is so eventful there.