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- Healthcare Analytics
- Who it's for
- Hospitals and health systems
Hospitals and health systems
Hospital quality teams report outcomes to clinical leaders, boards and external programs, often from several facilities with their own source systems. The same measure has to mean the same thing at every site, and a published rate has to be explainable months later. Start with the measures your quality committee already reviews and the facilities that report them.
How Healthcare Analytics is set up for you
One definition across facilities
Record each facility as an organization and attach cohorts to the same approved metric definition, so a readmission rate at one hospital is calculated the same way as at another.
Independent clinical review
A Clinical Reviewer who does not own the cohort approves each revision before its rates are published. Returned revisions keep the reviewer's reason.
Corrections that keep the original
When a coding change alters last month's counts, the correction workflow writes a successor revision and keeps the published one, so the committee can see both.
Follow-up tied to the outcome
Actions raised from a rising rate are assigned to a named person with a due date and closed with a resolution.
Hospital quality teams report outcomes to clinical leaders, boards and external programs, often from several facilities with their own source systems. The same measure has to mean the same thing at every site, and a published rate has to be explainable months later. Start with the measures your quality committee already reviews and the facilities that report them.
Pilot one outcome measure, such as thirty-day readmissions, for one facility over a few monthly windows. Capture the source extract as a snapshot, build the cohorts, review and publish them, and raise follow-up actions from the result. Compare the published rates with the figures your team already reports before adding facilities or measures. Agree in advance what each count field holds for that measure and record it in the outcome definition's policy reference.
[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.
- Quality Improvement Lead
- Works follow-up actions raised from published outcomes and records how each one was resolved.
Set up Healthcare Analytics your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.