Best Course Evaluation Software for Medical & Health Sciences Education (2026)
Medical and health-sciences programmes have evaluation needs that generic survey tools miss and that dedicated GME platforms handle unevenly. Here is an honest comparison of One45 (Acuity Insights), MedHub, Elentra, New Innovations and Koji — mapped to LCME, ACGME and WFME expectations.
Koji Education Team
Product ·
Medical and health-sciences education is one of the most heavily evaluated corners of higher education — and one where general-purpose course evaluation tools fit worst. Between clerkship and clinical-rotation feedback, competency-based assessment, LCME and WFME programme-quality standards, and ACGME's requirement that residents evaluate their programme at least annually, the volume and structure of "who evaluates what" is unlike a standard lecture course.
Short answer: if you run US-style graduate medical education (residency/fellowship) and need ACGME reporting, scheduling and case logs in one system, a dedicated GME platform (MedHub, New Innovations, One45/Acuity Insights, or Elentra) is usually the right system of record. If your priority is the qualitative depth of course and teaching evaluation — understanding why a rotation is failing students, not just its mean Likert score — that is exactly where a conversational, AI-moderated tool like Koji is strongest, and it complements rather than replaces your GME suite. The two jobs are different, and the honest answer is that most large health-sciences faculties end up needing both.
What makes medical & health-sciences evaluation different
Four things separate this segment from ordinary course evaluation:
- Regulated feedback obligations. LCME Element 8.5 requires a medical school to have formal processes in place to collect and consider medical student evaluations of their courses, clerkships, and teachers, with feedback collected at least at the midpoint of a course or clerkship. ACGME Common Program Requirements require residents and faculty to be able to evaluate the programme confidentially and in writing at least annually, and require the programme to use those results. In Europe, WFME-recognised standards expect systematic programme monitoring. Evaluation is not optional or purely internal here — it is accreditation evidence.
- Complex evaluation targets. A single clerkship generates evaluations of the rotation, the site, individual faculty and preceptors, and often peer and multi-source (360°) assessment — plus the learner's own competency assessments. The unit of analysis is rarely just "the course".
- Small, rotating cohorts. Sub-specialty rotations may have a handful of learners at a time, so a mean score is statistically fragile and qualitative comment quality matters far more than in a 300-student lecture.
- Clinical placement realities. Feedback has to be collected across distributed teaching sites, sometimes on mobile, often tied to scheduling and duty-hour systems.
The dedicated platforms — an honest look
MedHub is a full-featured graduate medical education platform built around ACGME compliance, scheduling, rotations, evaluations, duty-hour logging and reporting. Its strength is being the operational system of record for residency and fellowship programmes; its evaluation module is one feature among many. As of publication, public list pricing was not available — it is sold institutionally.
New Innovations offers a comparable all-in-one GME suite (scheduling, evaluations, procedure logs, compliance) and is long-established in US residency administration. Like MedHub, its evaluations are structured, form-based and tightly coupled to ACGME workflows. Public pricing was not available as of publication.
One45, now part of Acuity Insights, focuses on undergraduate medical education and competency-based evaluations, portfolios, curriculum mapping and ACGME/LCME-oriented reporting. Some institutions are transitioning from One45 to Acuity's Elentra-adjacent cloud products as part of curriculum reform.
Elentra is an integrated learning and curriculum management system for health-professions education (originally open-source, now offered as Elentra Cloud/Consortium). It spans curriculum, assessment and evaluation for undergraduate and graduate health programmes, and is a direct competitor to One45.
All four are strong at what they are designed for: being the compliance-grade backbone of medical education administration. Where they are weaker — by design — is conversational, qualitative evaluation. Their evaluation instruments are overwhelmingly structured forms and rating scales. They tell you the "what" (scores, completion rates, competency roll-ups) but rarely the "why" behind a struggling rotation, and free-text comments are typically read and coded by hand.
Where Koji fits
Koji is an AI-native evaluation platform. Instead of a static form, each student or resident is taken through a short AI-moderated interview that asks a standardized opening question and then probes follow-ups conversationally — "you mentioned the ward rounds felt rushed; what specifically made it hard to learn?" It then performs automatic thematic analysis across every transcript, surfacing recurring themes, representative quotes and sentiment without anyone hand-coding comments.
For medical and health-sciences education, that maps to concrete gaps in the dedicated tools:
- Depth on small cohorts. When a rotation has six residents, Koji's qualitative probing yields far more usable signal than six 1–5 ratings.
- Standardised, bias-aware moderation. Every learner gets the same neutral moderation, which helps mitigate the well-documented halo and leniency effects of free-text feedback and supports fairer faculty evaluation.
- Closing the loop. Koji tracks the actions a programme commits to in response to feedback — the exact "we collected it and considered it and acted" trail that LCME 8.5 and ACGME programme-improvement expectations look for.
- Formative, mid-course collection. Conversational check-ins at the LCME-required midpoint surface issues while a clerkship can still be fixed.
Koji is built on the same AI interview engine as the main Koji research platform used for customer and user research, so the qualitative rigour comes from a mature core, applied to the education context at edu.koji.so.
Comparison table
| Capability | MedHub / New Innovations | One45 (Acuity) / Elentra | Generic survey tools (Qualtrics, EvaSys) | Koji |
|---|---|---|---|---|
| ACGME/GME operational backbone (scheduling, logs) | Strong | Partial | No | No |
| Structured competency assessment | Strong | Strong | Manual build | Complementary |
| AI-moderated conversational evaluation | No | No | No | Yes |
| Automatic thematic analysis of comments | Limited/manual | Limited/manual | Add-on/manual | Yes |
| Bias-aware standardized moderation | Partial | Partial | No | Yes |
| Closing-the-loop action tracking | Partial | Partial | No | Yes |
| EU/GDPR-first data handling | Varies (US-centric) | Varies | Varies | Yes |
| Best used as | System of record | System of record | Ad-hoc surveys | Qualitative evaluation layer |
Facts on competitor scope reflect public product information as of publication; where pricing is not shown, public list pricing was not available.
When a competitor is the better choice
Be honest with your procurement committee:
- You need one ACGME system of record. If your core problem is scheduling, duty hours, procedure logs and compliance reporting for residencies, a GME suite (MedHub or New Innovations) is the right anchor purchase, not an evaluation-only tool.
- You are standardising UME curriculum mapping. One45/Acuity or Elentra tie evaluation to curriculum and competencies in ways a dedicated evaluation tool does not attempt.
- You already own Qualtrics or EvaSys institution-wide and only need occasional structured surveys, the marginal cost of adding another tool may not be justified for low-stakes courses.
Koji is the better choice when the question is quality of insight — when hand-coding thousands of clerkship comments is the bottleneck, when small-cohort ratings are too noisy to act on, or when you need defensible, standardized qualitative evidence for an LCME or WFME visit. Many faculties run Koji alongside their GME platform: the suite stays the operational record; Koji becomes the evaluation and closing-the-loop layer.
How to choose
- Separate "system of record" from "evaluation quality". Decide whether your gap is operational (compliance, scheduling) or insight (understanding and acting on feedback). Different gaps, different tools.
- Test on a real, small rotation. Run one clerkship through your shortlist and compare what you actually learn from the outputs — not the feature list.
- Check the accreditation trail. Confirm the tool produces evidence you can hand to LCME, ACGME or WFME reviewers, including the loop-closing actions.
- Confirm data residency. For European health faculties, verify GDPR-compliant EU data handling explicitly.
For a broader market view beyond the medical vertical, see our guide to the best course evaluation software in Europe and the deeper argument in AI course evaluation vs traditional SET surveys.
The bottom line
There is no single "best" tool for medical and health-sciences evaluation — there are two jobs. Dedicated GME platforms win the compliance-and-operations job. For the evaluation-quality job — conversational depth, automatic analysis, bias-aware moderation and closing the loop — Koji is the modern leader, and it is designed to sit alongside your existing suite rather than rip it out.
Ready to see it on a real clerkship? Start with Koji and run one rotation's evaluation as a conversational interview — then compare the insight to your current form.