Commercial Supporters
De‑identified knowledge‑gap insights aligned to learning objectives. Provided to you by the accredited CME provider. No learner‑level data. Independence preserved.
Disclosure: ChatCME generates insights for the accredited CME provider. The provider chooses what to share with supporters. ChatCME does not contract with or report directly to supporters.
What you get at a glance
- De‑identified, aggregated insight briefs and exports prepared for the accredited provider
- Knowledge‑gap themes and topic momentum mapped to learning objectives
- Optional outcomes sections when the provider enables measured learning instruments
- CSV and XLSX exports suitable for IME planning and grant reviews
- A consistent narrative that supports independence and privacy
Example de-identified brief (illustrative)
An accredited CME provider can export an aggregated, de-identified brief that summarizes themes and momentum by objective—without learner-level data.
Top themes (by objective)
- Objective 1: Diagnostic workup questions recurring across activities
- Objective 2: Treatment sequencing and contraindications
- Objective 3: Monitoring, follow-up, and escalation triggers
Momentum (over time)
- Rising topics: newly emerging sub-questions
- Persistent gaps: repeated questions month-to-month
- Evidence engagement: citation opens by theme (aggregate)
What is (and isn't) included
- Aggregated counts and trends only
- Small-N suppression for cohorts
- No learner-level data or raw transcripts
You receive
Aggregated, de-identified themes and objective-aligned trends prepared by the accredited provider.
We suppress
Small cohorts and sensitive slices to reduce re-identification risk.
You never receive
Learner-level reporting, raw transcripts, or editorial/configuration access.
Why this matters
ChatCME embedded in independent CME programs surfaces what clinicians are actually asking, where they seek clarification, and which concepts need reinforcement. The platform turns those real, in‑activity questions and interactions into privacy‑preserving insight that accredited providers can share with supporters to inform grant strategy and educational planning. When measured learning instruments are enabled, providers can include knowledge and competence results with clear labeling and sample sizes.
What you will see
Themes and gaps
Top question clusters and areas that need clarification, filterable by activity, therapeutic area, and time period
Momentum
Rising, stable, and falling topics based on question volume and engagement patterns
Intent mix
Proportions of questions related to diagnosis, treatment selection, dosing, adverse events, monitoring, and other intents
Evidence‑use signals
Citation opens and reference interactions inside the activity
Optional outcomes measures
When enabled by the provider, knowledge gain and competence shift with N, methods, and confidence intervals
Examples of common cardiology categories that have appeared in de‑identified reports include HFpEF versus HFrEF therapy choices, advanced diuretic protocols, cardiac amyloidosis testing, and intravenous iron rationale. These categories illustrate how insights are framed as themes and mapped to objectives, not as individual learner data.
What you will not see
- No learner‑level or identifiable data
- No targeting, remarketing, or outreach lists
- No access to editorial controls, prompts, or model configurations
- No influence on activity content before, during, or after delivery
Deliverables
Insight brief
A concise narrative of gaps, momentum, and implications tied to learning objectives
Theme tables and exports
CSV or XLSX with labeled themes, counts, momentum, and representative de‑identified question snippets
Periodic roll‑ups
Time‑based views across activities with trend lines and comparisons
Optional outcomes appendix
Knowledge and competence results when enabled by the provider, with sample sizes and method notes
Provider‑facing briefs organize recurring learner questions, response themes, popular content focus areas, and gap‑driven recommendations. The version shared with supporters remains aggregated and de‑identified.
How it works
See how insights are generated →
- 1.
Collect
Within each accredited activity, ChatCME captures de‑identified question and interaction signals. See how questions are captured.
- 2.
Aggregate
Signals are clustered into themes, mapped to learning objectives, and organized by activity, therapeutic area, and time window. See analytics processing.
- 3.
Share
The accredited provider reviews and decides what to share with supporters. Optional outcomes measures are included only when the provider enables them. View reporting options.
Aggregated reports highlight recurring clinician questions and translate them into clear educational next steps. Examples include HF subtype selection, diuresis strategies, amyloidosis workups, and intravenous iron rationale.
Independence and privacy
- The accredited CME provider controls content, scope, and guardrails
- Supporters receive only de‑identified, aggregated analytics that meet privacy thresholds
- No learner‑level reporting and no PHI is required for CME use cases
- Small‑N suppression is applied to protect privacy
- Boundaries follow independence policies and CME standards
Methods and labels (optional module)
If the accredited provider enables measured learning instruments, your reports can include a short “Methods and labels” legend:
Objective
Scored pre and post knowledge checks with paired analysis and sample sizes
Subjective
Competence or self‑efficacy scales reported as mean change with confidence intervals
Follow‑up
Commitment‑to‑change implementation at 30 to 60 days with leading barriers
Proxy
Behavioral indicators such as citation opens and reference interactions
Each figure shows N, date range, and a clear method note
Frequently asked questions
Request a demo
We will walk your team and the accredited provider through a de‑identified insights brief, theme tables, and the options for adding measured learning outcomes.
Request a demo