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Microsoft

AI for Healthcare Professionals

Microsoft via edX

Overview

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n the rapidly evolving landscape of 2026, artificial intelligence has moved from a speculative concept to a clinical and administrative necessity. MS-AI-18: AI for Healthcare Professionals is an intermediate micro-credential designed specifically for clinicians and medical managers who seek to lead this digital transformation without becoming data scientists or software engineers.

The curriculum moves beyond theoretical hype to provide immediate professional agency in the "Age of the Copilot" across four critical domains:

  • Clinical Efficiency: Eradicate the "EHR Tax" and cut after-hours charting workloads in half by using Ambient Clinical Intelligence (ACI) to passively capture clinical intent and restore eye-to-eye patient care.

  • Decision Support: Evaluate medical NLP systems and deploy cloud-based Trial Matchers to accelerate clinical research and filter global trial registries in under 60 seconds.

  • Operational Leadership: Scale individual insights to departmental strategy using Microsoft Fabric to dissolve data silos, reduce data latency, and optimize capacity management.

  • Responsible Governance: Safely navigate the strict August 2026 compliance deadlines of the European Union AI Act, counter algorithmic drift, and implement Zero Trust architecture to shield protected health information (PHI).

By joining this program, you will bridge the gap between medical expertise and digital leadership. You will exit this course with a stakeholder-ready institutional AI Charter, positioning yourself to drive departmental ROI while keeping qualified medical professionals at the center of clinical care.

Syllabus

  • Analyze Ambient Clinical Intelligence mechanisms for EHR.

  • Execute context-specific clinical prompt engineering.

  • Evaluate medical NLP and automated Trial Matchers.

  • Formulate Human-in-the-Loop diagnostic audit protocols.

  • Interpret predictive analytics from unified data architectures.

  • Justify AI return on investment to executives.

  • Navigate 2026 global high-risk regulatory mandates.

  • Construct a comprehensive institutional AI Charter.

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