AI Fluency for Healthcare Managers & Leaders

Packt via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

3 hours
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

Found in

Overview

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This course empowers healthcare managers and leaders with the tools to implement AI in their organizations. Covering AI fundamentals, use case identification, vendor evaluation, and change management, it provides actionable insights for effective leadership. As healthcare continues to embrace AI, managers and leaders must understand how to leverage this technology effectively. This course offers an in-depth exploration of AI’s role in healthcare, covering everything from foundational knowledge to advanced leadership strategies. Participants will learn to identify and prioritize AI use cases, evaluate AI vendors, and navigate the complexities of AI implementation. The course emphasizes real-world applications, helping leaders build a strategy for integrating AI that aligns with their organization’s goals and challenges. Leaders will gain insights into AI governance and sustainability, ensuring long-term success and adoption of AI technologies. By the end of the course, participants will be equipped with the knowledge to not only lead AI initiatives but also drive cultural change within their organizations. The course also focuses on personal development, helping leaders position themselves for success in the evolving AI landscape. With practical frameworks, scorecards, and actionable strategies, this course is designed to help healthcare managers and leaders confidently guide their teams through AI adoption and realize the transformative potential of AI in healthcare. This course is ideal for healthcare managers, executives, and leaders responsible for overseeing or implementing AI initiatives. No prior technical knowledge of AI is required, though familiarity with healthcare operations and leadership challenges is beneficial. The course is perfect for those looking to advance their careers by positioning themselves as AI-savvy leaders in the healthcare sector. Through a mix of instructional videos and real-world case studies, the course offers a hands-on, practical approach. Learners will engage with frameworks, tools, and strategies they can directly apply to their organizations. By the end, participants will be equipped to make informed AI-related decisions and guide their teams effectively. This course is based on AI Fluency for Healthcare Managers & Leaders, by HealthTechX Academy - Neel Majumder. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Course Introduction & Expectation Setting
- This module introduces learners to the core structure and goals of the course, helping them understand how AI concepts are tailored for healthcare leaders. It outlines the unique value of the course and prepares learners to engage effectively with the material.
AI Fundamentals for Healthcare Leaders
- This module provides healthcare leaders with foundational knowledge of artificial intelligence, focusing on key concepts, practical applications, and leadership considerations. Learners will explore AI's role in healthcare operations, clinical decision-making, and population health, while addressing potential risks and misconceptions.
Identifying the Right AI Use Cases
- This module equips learners with practical frameworks to evaluate and prioritize AI use cases in healthcare. It covers methods for assessing AI appropriateness, analyzing impact, and making informed decisions based on data and workflow integration. Learners will gain the skills to validate and implement AI solutions effectively.
Evaluating AI Vendors and Solutions
- This module equips learners with the skills to evaluate AI vendor solutions by using structured frameworks, assessing vendor claims, and applying scorecards to make informed decisions. It covers critical thinking and decision-making strategies in AI procurement, particularly in healthcare contexts.
Implementation Reality and Change Management
- This module explores the practical aspects of implementing AI in healthcare, focusing on organizational strategies, change management, and human-AI interactions. Learners will gain insights into the challenges and best practices for successful AI adoption, including stakeholder engagement and workflow integration.
AI Governance, Monitoring, and Sustainability
- This module explores the essential frameworks and practices for governing, monitoring, and sustaining AI systems in healthcare. Learners will gain insights into ensuring ethical compliance, system adaptability, and long-term effectiveness of AI solutions.
AI Leadership and Career Positioning
- This module focuses on developing the leadership mindset necessary for AI-driven decision-making in healthcare. Learners will explore strategies for positioning themselves as effective AI leaders and gain practical tools for starting their journey within 90 days.