Ai In Healthcare Governance Training Course: Oversight Of Ai Implementation In Medical Fields

Introduction

AI in Healthcare Governance training empowers healthcare leaders and administrators to effectively oversee the implementation of artificial intelligence (AI) in medical fields, ensuring ethical and safe practices. This course focuses on analyzing AI governance frameworks, implementing risk assessment methodologies, and understanding the impact of AI on patient safety and data privacy. Participants will learn to develop AI policy strategies, utilize AI auditing tools, and understand the intricacies of using regulatory compliance and stakeholder engagement to build trust and maintain ethical standards. By mastering AI in healthcare governance, professionals can enhance their ability to drive innovation while mitigating potential risks, ensuring responsible AI adoption, and contributing to a more patient-centric and data-secure healthcare system.

The rapid integration of AI into healthcare necessitates a comprehensive understanding of AI governance and ethical implementation best practices. This course delves into the nuances of algorithm bias, data transparency, and AI explainability, empowering participants to develop and implement tailored strategies. By integrating technological expertise with healthcare administration acumen, this program enables organizations to lead initiatives that maximize the benefits of AI while minimizing potential risks to patient safety and data integrity.

Target Audience:

• Healthcare administrators
• Medical directors
• Compliance officers
• IT security professionals
• Data scientists
• Legal professionals
• Medical professionals
• Healthcare consultants
• Individuals interested in AI governance
• Policy advisors

Course Objectives:

• Understand the principles and importance of AI governance in healthcare.
• Implement techniques for analyzing AI governance frameworks and ethical considerations.
• Understand the role of risk assessment and mitigation in AI implementation.
• Implement techniques for developing and implementing AI policy strategies.
• Understand the principles of AI auditing and validation in medical applications.
• Implement techniques for utilizing AI data privacy and security measures.
• Understand the role of stakeholder engagement and communication in AI governance.
• Implement techniques for conducting AI impact assessments and continuous monitoring.
• Understand the legal and regulatory considerations related to AI in healthcare.
• Develop strategies for measuring and analyzing the effectiveness of AI governance initiatives.

DURATION

5 Days

COURSE CONTENT

Module 1: Foundations of AI in Healthcare Governance

• Principles and importance of AI governance in healthcare.
• Understanding the AI landscape and its impact on medical fields.
• Benefits of effective AI oversight in healthcare.
• Historical context and evolution of AI in healthcare.

Module 2: AI Governance Frameworks and Ethics

• Techniques for analyzing AI governance frameworks and ethical considerations.
• Implementing AI ethics guidelines and principles.
• Utilizing AI governance tools and methodologies.
• Managing ethical AI implementation.

Module 3: Risk Assessment and Mitigation

• Role of risk assessment and mitigation in AI implementation.
• Understanding AI risk management frameworks and tools.
• Implementing AI bias detection and mitigation strategies.
• Managing AI risks.

Module 4: AI Policy Strategy Development

• Techniques for developing and implementing AI policy strategies.
• Implementing policy analysis and formulation.
• Utilizing policy development tools and frameworks.
• Managing AI policies.

Module 5: AI Auditing and Validation

• Principles of AI auditing and validation in medical applications.
• Understanding AI algorithm validation and testing.
• Implementing AI performance monitoring and reporting.
• Managing AI audits.

Module 6: Data Privacy and Security

• Techniques for utilizing AI data privacy and security measures.
• Implementing data anonymization and encryption techniques.
• Utilizing AI-driven security tools and protocols.
• Managing data security.

Module 7: Stakeholder Engagement and Communication

• Role of stakeholder engagement and communication in AI governance.
• Understanding stakeholder communication strategies and tactics.
• Implementing patient and clinician engagement plans.
• Managing stakeholder engagement.

Module 8: Impact Assessments, Ethics, and Measurement

• Techniques for conducting AI impact assessments and continuous monitoring.
• Implementing ethical considerations in AI deployment.
• Utilizing performance metrics and reporting.
• Managing AI governance measurement.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.