Turn stakeholder mapping insights into a concise executive briefing deck that leadership can act on: connecting the initiative's business and clinical value to what leadership needs to decide, and framing risks, current issues, and implementation needs in language leadership can absorb quickly.

Build vocabulary fluency across the six term categories that come up daily in healthcare AI projects: AI, data, cloud, model, workflow, and Responsible AI. You don't need to be a technical expert; you need to recognize what these terms mean when they appear in briefings, meetings, and vendor conversations, and know when to flag terms that require senior lead clarification.

Turn technical descriptions of healthcare AI tools into plain-language explanations that clinicians and operational staff can actually use—a specialized form of technical writing (defined in Module 1's vocabulary reference) focused on making technical content accessible to nontechnical audiences. Covers four required areas: what the tool does, what it does not do, how human review is maintained, and how existing workflows are affected. This module focuses on the plain-language rewrite; audience-specific FAQ preparation is covered in the LC 4 Project Module deliverable.

Build the pre-rollout view that determines whether a healthcare AI initiative launches cleanly or hits resistance. Apply change-readiness assessment practices across the five assessment dimensions, and prepare change tickets for the organization's change control board (CCB) that document the changes the initiative introduces. Module 2 covers the post-rollout half, analyzing feedback and measuring adoption after go-live.

Turn post-rollout signals into actionable follow-up support. Design Microsoft Forms surveys to capture user feedback, summarize adoption indicators in Excel, and analyze both to identify resistance patterns, support needs, and follow-up actions that senior leads can direct to the right people.

Bring together everything from Engage Stakeholders and Drive Healthcare AI Adoption; stakeholder mapping, executive and cross-functional communication (Support Leadership Alignment for Healthcare AI); plain-language translation for nontechnical audiences (Translate Healthcare AI Concepts for Stakeholders); and change-readiness assessment plus post-rollout measurement setup (Support Change and Adoption for Healthcare AI), to produce a complete stakeholder engagement package for the hospital-wide expansion of the Contoso Microsoft clinical documentation pilot. You'll build the artifacts that a Senior AI Program Manager needs to secure CMO approval, prepare clinicians and operational staff for the change, and set up post-rollout measurement, all scoped to entry-level PM authority.