Program evaluation
Collect and organize evaluation responses, attendee demographics, specialty, therapeutic area, and program-level feedback.
Outcomes and reporting
Evaluate funded activity with clearer data, reporting, and follow-through.
GML supports healthcare education and outcomes workflows from program planning through delivery, follow-up evaluation, and reporting.
Evaluation model
Designed for the measures that healthcare education teams actually track.
Outcomes projects can range from simple satisfaction metrics to larger performance, quality improvement, comparative effectiveness, registry, and capacity development initiatives.
Knowledge and behaviour
Track knowledge retention, commitment to change, practice patterns, barriers, confidence, competence, and self-reported behaviour change.
Clinical and economic inputs
Support reporting models that include clinical outcomes, chart audits, EMR-related inputs, quality of life parameters, and economic metrics when appropriate.
PI/QI projects
Organize performance and quality improvement initiatives with structured data capture and reporting outputs.
Registry and CER studies
Support study-oriented workflows for registry-style initiatives and comparative effectiveness research data needs.
Live polling analytics
Bring meeting and education response data into reporting views for analysis alongside broader outcomes information.
Reporting discipline
Turn evaluation data into usable program insight.
Reports can help teams identify gaps, isolate trends, compare activity across program types, and understand where future education or support may be needed.
- Define outcome levels by program type and reporting obligation.
- Make key evaluation and reconciliation fields mandatory where the process requires them.
- Use templates to collect consistent information across repeat grant cycles.
01Plan evaluation around objectives and data needs.
02Collect program, polling, review, and follow-up data.
03Analyze patterns, barriers, confidence, and outcomes.
04Report learnings for future programming decisions.
Discuss outcomes reporting for your programs.
GML can be aligned to the evaluation measures, data model, and reporting cadence your team needs.