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Feature · Outcome cohorts

Outcome cohorts

Build each cohort revision from its outcome definition, owner, organization and consent basis.

OverviewMy outcome cohorts
Healthcare Analytics · Outcome cohorts

My outcome cohorts

Outcome cohorts

New
NumberNameCohort dateStatusRevisionPatient count
OC-51648Cohort 42421 OctConfigured32029
OC-83754Cohort 68126 OctCollecting27032
OC-91253Cohort 70118 OctValidated40018
OC-38903Cohort 31409 OctAnalyzed7606
OC-26594Cohort 58303 OctPublished41020
6 of 6 records
Cohort 424Outcome cohorts · OC-51648
Configured
Cohort date21 Oct
Revision320
Patient count29
DefinitionOD-8073
Example screen with sample data

What you can do

Measure one cohort revision at a time

An outcome cohort is the group of deidentified facts behind a reported rate. Each cohort carries a number, a name, a cohort date, the organization it belongs to, the outcome definition it measures and the person who owns it. It also carries a revision number. Every review decision, operation run and state change points at a specific revision, so a rate published last quarter can still be explained after the cohort has been corrected.

How the work is organized

A cohort moves through Configured, Collecting, Validated, Analyzed and Published. The Outcomes Analyst sets up the cohort against an active outcome definition and starts the construction workflow, either from the Healthcare Analytics Overview page or by hand. The workflow records an operation run with numbered steps and writes the status change to state history with the actor and the source revision.

  • One owner per cohort. The Owner field names the person accountable for the revision, and the “My outcome cohorts” view lists only their work.
  • A recorded consent basis. The cohort and each of its facts carry a consent basis value, so a reviewer can see under what terms the data was used.
  • Counts held on the cohort. patient count, session count, conversion count, target completions and cohort exposure hold the totals that feed the rate.

What to agree during setup

Agree what each count field means for each outcome definition. For a readmission measure, decide whether session count holds index admissions and conversion count holds readmissions inside the window, and record that choice in the outcome definition’s policy reference. Agree how cohort numbers are assigned and which source record id identifies the cohort in the source system. Decide which organizations each analyst can see, and who may change a cohort’s owner once collection has started.

Check the handoff on an actual case

Take a monthly readmission cohort for one organization. The Outcomes Analyst creates it with status Configured, links the active outcome definition and starts construction. Confirm that a second start with the same operation key returns the existing run and does not create another one. The cohort should move to Collecting, with one state history row naming the analyst, the revision and the operation key.

Next, ask the Analytics Manager to find the cohort on the “Cohort lifecycle board” and the Clinical Reviewer to find the pending review decision for the same revision. Both should see the same revision number. If the analyst changes the cohort date after a review decision exists, the change should need a new revision instead of altering what the reviewer is looking at.

What your team sees

  • Cohort lifecycle board — every cohort grouped by status, with its owner, organization, definition and revision.
  • My outcome cohorts — the cohorts the signed-in person owns, with cohort date and patient count.
  • Published outcome cohorts — cohorts whose rates have been published, with completion date and exposure.

Follow the work through

Review the implementation plan and the data model before preparing your import files.

What it keeps track of

Data model
Outcome cohorts
Measured web properties with lifecycle status and observed outcome fields.
Outcome definitions
Configured measurement and experiment definitions with effective dating.
Organizations
Customer organizations whose web properties are measured.
People
Analysts, owners and reviewers belonging to an organization.
State history
Immutable lifecycle transition history for each source.

Who uses it

Permissions
Outcomes Analyst
, Analytics Manager, Clinical Reviewer.
The Outcomes Analyst owns construction.
The Analytics Manager assigns owners and starts publication.
The Clinical Reviewer reads cohorts but does not edit them.

Set up Healthcare Analytics your way.

Start free, then use Proto to change fields, steps and approvals before your team goes live.

How to get started