One method layer above fragmented data
The shared HealthDex method is built around one simple idea: meaningful change becomes easier to interpret when multiple signals are observed over time and delivered in a partner-facing workflow.
This paper explains why episodic systems miss change, why multimodal observation matters and why personal baseline logic changes how data should be read.
What the paper covers
Why episodic systems miss change. One-off touchpoints rarely explain longitudinal movement across a person or cohort.
Why multimodal observation matters. Mobile, wearable and structured signals become more useful when interpreted together.
Why personal baseline changes interpretation. The same reading means different things depending on context and prior pattern.
How operator delivery works. The end product is a partner-facing dashboard and workflow layer, not raw data exhaust.
Why one method can support multiple product lines. Health-Dex and Mental-Dex share core infrastructure while solving different operational problems.