Precision Health Answers
How should wearable data be combined with clinical data?
By treating wearable outputs as patient-generated observations with distinct completeness and validation limits, not as interchangeable EHR measurements.
Why the question is harder than it looks
The interpretation problem
A device trend can generate a useful question without supporting a diagnosis. Clinical context and device provenance determine how far interpretation can go.
The useful analytical unit is therefore not a dashboard tile. It is a reviewable finding that preserves time, source, comparability and the limits of the available evidence.
A defensible approach
How to analyse it
01
Define the decision question, population and clinically meaningful time horizon.
02
Validate source identity, units, methods, provenance, missingness and comparison periods.
03
Evaluate direction, persistence and relevant cross-signal concordance without upgrading association to causality.
04
Return a source-linked finding with uncertainty, alternatives and a clear review boundary.
Interpretation guardrails
What not to conclude
High-dimensional health data can make weak evidence look precise. The safest system shows why a finding deserves attention and where it stops.
- Do not treat temporal sequence as proof of causality.
- Do not equate a genetic association with diagnosis or destiny.
- Do not treat movement in a surrogate marker as a demonstrated clinical outcome.
- Do not hide missing data, method changes or contradictory evidence.
Practical output
What a useful answer should contain
For this question, the output should identify the relevant observations, the valid comparison period, material changes, supporting and contradictory signals, data-quality limitations and the point at which qualified clinical review is required.
A useful precision-health answer links every conclusion to its source observations, comparison period and limitations. It should make clinician review faster while leaving the clinical decision with the qualified professional.
Bring the data you already collect.
See what Vizier finds across it—without replacing your clinical, laboratory or diagnostic systems.
Start with the data you already have. Connect your EHR when you’re ready.