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- Healthcare Analytics
- Who it's for
- Clinical quality registries
Clinical quality registries
Clinical registries and quality collaboratives collect deidentified data from participating organizations and publish comparative measures. Their work depends on stable measure definitions and on being able to show which data produced a published figure. Start with the measures and participants your registry already reports.
How Healthcare Analytics is set up for you
Versioned measure definitions
Each metric definition records its grain, expressions, aggregation method and version, and a retired version stays readable for older results.
Participant organizations
Each participant is an organization with its own outcome definitions and cohorts, and people are scoped to the organizations they work for.
Run history for every publication
Each construction and publication run records its operation key, input hash, numbered steps and result reference, so a published figure can be traced to the run that produced it.
Suppression with a reason
Results with a zero denominator or too few cases are stored as suppressed with the reason recorded.
Clinical registries and quality collaboratives collect deidentified data from participating organizations and publish comparative measures. Their work depends on stable measure definitions and on being able to show which data produced a published figure. Start with the measures and participants your registry already reports.
Pilot one registry measure with a small group of participants for one reporting period. Map each participant's extract with versioned source mappings, capture the snapshots, and take each cohort through review and publication. Agree the suppression threshold before the first calculation. Compare the published results with the registry's previous figures before adding measures or participants.
[Plan the rollout](/healthcare-analytics/implementation), [review relevant modules](/healthcare-analytics#modules), and [compare the source data](/healthcare-analytics/data-model).
Features to start with
Metric definitions
Approve the numerator, denominator, grain and aggregation method before any result is calculated.
Outcome cohorts
Build each cohort revision from its outcome definition, owner, organization and consent basis.
Metric results
Keep one result per approved definition and period window, with suppression and invalidity reasons.
Roles on the team
- Analytics Manager
- Assigns cohort owners, starts publication of reviewed cohort revisions and oversees follow-up work.
- Outcomes Analyst
- Builds cohort revisions, loads deidentified facts and prepares them for independent review.
- Clinical Reviewer
- Records independent review decisions against an exact cohort revision and verifies supporting evidence.
- Metric Steward
- Maintains outcome and metric definitions and approves each definition version before results are calculated.
- Data Engineer
- Captures source snapshots, maintains field mappings and resolves failed or unreconciled operation runs.
Set up Healthcare Analytics your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.