Not all collaboration happens in meetings or status reports. This module introduces Copilot Chat, Loop Pages, and OneNote Notebooks as tools for building persistent, shared AI-assisted workspaces, where team members can co-develop content, capture institutional knowledge, and iterate together on complex deliverables in real time.

Building a shared workspace is the easy part. Keeping it reliable over time is where most teams struggle. This module teaches learners to act as knowledge curators, using Copilot to audit shared workspaces, identify what is missing or outdated, manage the information lifecycle from active collaboration to long-term institutional knowledge, and produce the kind of structured handover documentation that keeps a project running when team members change.

This module covers how to apply Microsoft 365 Copilot to automate recurring summarization and drafting tasks in clinical administrative workflows—specifically, meeting summarization, inbox triage, and follow-up preparation. Learners will be able to configure and apply Copilot automation for these three task types in a provided clinical administrative scenario, documenting the setup steps and reviewing outputs for accuracy before use. Automating recurring, low-complexity tasks with Copilot is the most immediate lever to reduce administrative burden and free clinical office staff to focus on higher-value work.

This module develops the evaluative skill of assessing which routine clinical-administrative tasks are appropriate candidates for Copilot-assisted automation—and which are not—using a three-factor evaluation framework based on repeatability, risk, and review requirements. Learners will be able to apply this framework to a set of provided clinical administrative tasks, produce a structured evaluation of automation suitability, and document results to support informed automation planning decisions. Not all administrative tasks should be automated: the ability to identify the right candidates is what separates effective Copilot deployment from over-automation that creates new quality risks.

This module develops the analytical skill of identifying and documenting time-loss patterns in clinical administrative work—specifically in documentation, communication, and clerical tasks—and connecting those patterns to specific improvement opportunities enabled by Microsoft 365 Copilot and Microsoft Microsoft Dragon Copilot. Learners will be able to apply a structured time-loss analysis to a provided clinical workflow scenario, identify where Copilot tools can reduce time spent on low-value work, and produce a targeted improvement opportunity inventory. Accurate time-loss analysis is the foundation of credible workflow improvement: it ensures that Copilot-enabled changes address real inefficiencies rather than assumed ones.

This module develops the skill of designing small-scale workflow refinements that translate time-loss analysis findings into practical, team-level improvements—specifically by standardizing Copilot prompting, establishing clear review steps, and defining handoff timing for the highest-priority improvement opportunities. Learners will be able to produce a workflow refinement specification for a provided improvement opportunity, documenting the standardized prompting approach, review step, handoff timing, and measurable efficiency target. Small-scale workflow refinements that are well-specified and easy to implement are the most sustainable path to measurable efficiency gains with Copilot tools in clinical administrative environments.

In this project, learners produce a Copilot efficiency plan for a clinical team: a professional artifact that integrates automation suitability evaluation, time-loss analysis, and workflow refinement specification for a single realistic clinical administrative scenario. Learners will be able to apply automation and process improvement skills to evaluate, document, and recommend a complete Copilot-enabled efficiency improvement approach for a bounded clinical administrative team workflow, which directly relates to automation and process improvement. Producing this kind of integrated efficiency plan is a core professional output for health administration coordinators and clinical operations staff responsible for improving team-level productivity using AI tools.