Clinical Education Management Benchmark
A cited, binary comparison of CEM platforms. Every supported capability links to public documentation — no ratings, no market share weighting.
Overall heatmap
Cross-vendor module scores. Each cell is the percentage of cited capabilities supported within that module.
| Vendor | Platform | Compliance | Placements | Clinical | Evaluations | Curriculum | Reporting | Overall |
|---|---|---|---|---|---|---|---|---|
| HealthTasks | 100% | 100% | 83% | 100% | 100% | 100% | 100% | 97% |
| Exxat | 100% | 80% | 83% | 80% | 100% | 67% | 50% | 80% |
| Project Concert | 100% | 80% | 67% | 60% | 100% | 100% | 50% | 80% |
| CORE Higher Ed | 100% | 60% | 83% | 80% | 100% | 67% | 50% | 77% |
| eMedley | 67% | 80% | 83% | 80% | 100% | 67% | 50% | 77% |
| Typhon | 33% | 20% | 83% | 80% | 67% | 33% | 50% | 53% |
| Trajecsys | 33% | 0% | 50% | 80% | 67% | 17% | 50% | 40% |
| Medatrax | 33% | 60% | 33% | 60% | 67% | 0% | 50% | 40% |
| TracPrac | 33% | 20% | 0% | 40% | 67% | 0% | 50% | 23% |
Vendor scores
Published benchmark scores until the next quarterly review.
HealthTasks
Overall
97%
29 cited
of 30 capabilities
Head-to-head comparisons
Pairwise comparisons against HealthTasks using the same 30-capability rubric.
Release 2026.3 · 30 capabilities · 9 vendors · Methodology v1.0. How scoring works
Publisher. The CEM Benchmark is published and maintained by HealthTasks. All vendors — including HealthTasks — are evaluated against the same public-documentation rubric using publicly available primary sources.
Methodology. Scores measure cited capability coverage from primary vendor sources (product pages, help centers, API docs) — not subjective quality, customer satisfaction, or market share. A capability marked not supported means we could not verify it from public documentation, not that the feature definitively does not exist. Capabilities without quotable excerpts are not scored as supported.
Process. This research is produced through automated AI-assisted evaluation and human review, refreshed quarterly. AI can make mistakes — we recommend independent verification before relying on these results. Machine-readable data is at /benchmark/dataset. Contact us to report corrections or request a vendor re-review.