The between-visit data gap in chronic medication
A whitepaper on the structured data gap between appointments, why it matters more now, and what a patient-facing data layer provides.
Chronic medication is built on a model of periodic visits. The model assumes the time in between is stable and reportable. For many patients, neither is true.
The gap
Between appointments, the patient lives the full course of the treatment: doses, side effects, daily tolerance, and the slow question of whether it is working. None of this is captured in a structured way. At the next visit it survives only as memory.
Why it matters now
Newer chronic therapies have pronounced early side effects and long titration periods. The between-visit window is longer and more eventful than the visit itself, yet it is the least documented part of care.
What a data layer provides
A patient-facing record that is structured for clinical reading turns the gap into evidence. It captures the period in the patient’s own life and presents it in a form the clinician can use.
The direction
Starting with GLP-1, the same structure applies to any chronic medication where the story between visits determines the outcome. The gap is general. So is the solution.