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Microsoft

Engage Stakeholders and Drive Healthcare AI Adoption

Microsoft via Coursera

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Overview

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Build the stakeholder communication and change-readiness skills that determine whether a healthcare AI initiative succeeds. This course covers stakeholder mapping, executive briefing preparation, plain-language translation of technical AI concepts, adoption measurement, and change-readiness assessment. You'll map stakeholder priorities, concerns, and influence for a healthcare AI initiative; prepare executive briefing decks in PowerPoint that connect AI initiatives to business and clinical value; translate technical AI concepts into plain language for clinicians and operations staff; complete change-readiness assessments and prepare change tickets; and measure adoption indicators using Microsoft Forms surveys and Excel summaries. By the end, you'll be able to assemble a complete stakeholder engagement package for an entry-level healthcare AI implementation. This course is suitable for learners ready to focus on the human side of healthcare AI rollout. Communication experience in any professional setting is helpful but not required.

Syllabus

  • Stakeholder Mapping for Healthcare AI Leadership
    • Learn to map who cares about a healthcare AI initiative, what they care about, and how much influence they carry over its success. Build the analytical foundation that Module 2 turns into a targeted executive briefing.
  • Executive Briefing Deck for Healthcare AI Initiatives
    • 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.
  • Common Terms in Healthcare AI Projects
    • 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.
  • Plain-Language Translation for Non-Technical Stakeholders
    • 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.
  • Change-Readiness Assessment for Healthcare AI Rollouts
    • 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.
  • Post-Rollout Feedback Analysis and Adoption Measurement
    • 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.
  • Project Module: Build a Healthcare AI Stakeholder Engagement Package
    • 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.

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