Time · place · environment · governed evidence
WellSkor ai 1.82 defines a privacy-minimized environmental context layer for research and clinician review. It is designed to align time and approximate place with weather, air quality, sunlight, seasonality, and solar activity while keeping those observations separate from validated clinical findings.
The proposed model separates geospatial context, weather and atmosphere, air quality, solar and circadian context, space weather, environmental burden, and traditional or cultural observations so unlike signals are not blended into one opaque number.
Adapters are specified for NOAA and National Weather Service observations, EPA AirNow air-quality data, NASA POWER solar and meteorological data, and NOAA Space Weather Prediction Center products. Specified does not mean connected, production-ready, or clinically validated.
Exact coordinates are not intended for ordinary display or indefinite retention. The design favors the least precise location and shortest retention needed for the approved use, with access controls, provenance, timestamps, and correction history.
Environmental variables have zero eligibility to change the WellSkor score until prospective validation, governance review, model-version control, calibration, and clinical-utility evidence are complete.
Each candidate signal must pass source and licensing review, data-quality testing, temporal alignment, bias and subgroup evaluation, prospective validation, clinical review, and monitored release before it can influence a patient-facing interpretation.
Evidence and context
These sources inform the public explanation and its boundaries. They do not validate WellSkor ai as a medical device or establish clinical utility for the platform.