Spend :01 of your time each Monday morning as Twelve:01 delivers timely tools, trends, strategies, and/or compliance insights for the CME/CE enterprise.
Power BI is a data visualization tool developed by Microsoft that connects to a wide range of data sources, including spreadsheets, databases, and learning management systems, to display information within interactive dashboards. For CME/CE professionals, relevant data points like learner completion rates, activity evaluation data, and profession-specific credit hour types can be consolidated into a single view. Dashboards can be configured to refresh automatically, reducing the need for manual data input and aggregation. This kind of centralized visibility can be useful when preparing for accreditation reviews, joint providership evaluations, or accredited provider program summaries.
The ACCME Accreditation Requirements document was most recently updated on April 27, 2026. This document serves as a comprehensive reference that compiles the Accreditation Criteria, Menu of Criteria for Accreditation with Commendation, Standards for Integrity and Independence, and ACCME Policies into a single resource. Accredited providers are encouraged to download this latest version to ensure they are working from current requirements. The Accreditation Criteria provides a framework for planning, implementing, and evaluating CME activities, while the Standards for Integrity and Independence are designed to ensure that accredited education is free from commercial influence and based on valid content. Keeping this document current and accessible to your team is a straightforward step toward maintaining compliance and staying aligned with ACCME.
A new proposal from MIT researchers would create “learnright” laws: an explicit right for creators to license copyrighted content specifically for AI model training, rather than relying on unresolved fair-use arguments. The concept arrives as lawsuits involving OpenAI, Anthropic, Meta, and other AI developers continue to test whether large-scale AI training on copyrighted works constitutes infringement. For accredited CME/CE providers, the proposal is notable because AI-enabled educational planning, content development, faculty support, and summarization tools increasingly rely on third-party models trained on large bodies of published material. If licensing frameworks for AI training become more formalized, organizations may face new compliance, contracting, attribution, and content-governance considerations when selecting AI vendors or incorporating copyrighted educational materials into AI-supported workflows.
