Coursera Instructor Network
Generative AI-Powered Solutions for Modern Healthcare Specialization
Coursera Instructor Network

Generative AI-Powered Solutions for Modern Healthcare Specialization

Transform Healthcare Delivery with AI Solutions. Implement AI-powered tools in clinical settings—no coding experience required.

Starweaver
Alfonso Rodríguez Cotes
Ritesh Vajariya

Instructors: Starweaver

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Implement GenAI solutions to streamline clinical workflows, enhance diagnostic accuracy, and optimize healthcare operations

  • Design ethical frameworks for responsible AI integration in healthcare settings while ensuring regulatory compliance

  • Develop practical strategies for AI-powered improvements in clinical documentation, personalized care, and telemedicine security

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Taught in English
Recently updated!

August 2025

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Specialization - 9 course series

What you'll learn

Skills you'll gain

Category: Decision Support Systems
Category: Natural Language Processing
Category: Healthcare Ethics
Category: Healthcare Industry Knowledge
Category: Health Informatics
Category: Medical Privacy
Category: Health Technology
Category: Generative AI
Category: Data Ethics
Category: Medical Imaging
Category: Image Analysis
Category: Regulatory Compliance
Category: Artificial Intelligence

What you'll learn

  • Identify the potential applications of Generative AI in various healthcare settings.

  • Analyze the impact of Generative AI on clinical workflows and patient care.

  • Design a basic implementation strategy for integrating AI into existing healthcare processes.

  • Assess the ethical implications and construct guidelines for responsible AI use in healthcare.

Skills you'll gain

Category: Healthcare Ethics
Category: Generative AI Agents
Category: Artificial Intelligence
Category: Healthcare Industry Knowledge
Category: Business Process Automation
Category: System Implementation
Category: Emerging Technologies
Category: Automation
Category: Health Technology
Category: Predictive Modeling
Category: Decision Support Systems
Category: Patient Treatment
Category: Data Ethics
Category: Innovation

What you'll learn

  • Apply GenAI techniques, including prompt engineering and fine-tuning to improve diagnostic accuracy across various healthcare scenarios.

  • Implement existing GenAI models and agents effectively for specific diagnostic applications, enhancing precision in clinical decision-making.

  • Integrate specialized GenAI models and agents within broader diagnostic workflows to optimize responsiveness and accuracy in healthcare settings.

  • Assess ethical considerations and biases in GenAI applications to ensure fair and accurate diagnostic outcomes across diverse patient populations.

Skills you'll gain

Category: Generative AI
Category: Prompt Engineering
Category: Patient Evaluation
Category: Medical Imaging
Category: Healthcare Ethics
Category: Data Integration
Category: Precision Medicine
Category: Health Informatics
Category: Artificial Intelligence
Category: Health Technology

What you'll learn

  • Identify components of a healthcare system.

  • Analyze the impact of streamlining system processes.

  • Develop a systematic approach to identify and implement streamlined healthcare processes utilizing technology.

  • Evaluate the expected outcomes and downstream benefits of a controlled and streamlined healthcare system.

Skills you'll gain

Category: Operations Management
Category: Performance Metric
Category: Health Systems
Category: Workflow Management
Category: Operational Efficiency
Category: Process Optimization
Category: Data-Driven Decision-Making
Category: Health Technology
Category: Health Informatics
Category: Lean Methodologies
Category: Health Care Procedure and Regulation
Category: Process Analysis
Category: Patient Flow

What you'll learn

  • Identify the potential applications of Generative AI in various clinical documentation scenarios.

  • Recognize the impact of Generative AI on clinical workflows and documentation quality.

  • Design a basic implementation strategy for integrating Generative AI into existing clinical documentation processes.

  • Assess the ethical implications and construct guidelines for responsible use of AI in clinical documentation.

Skills you'll gain

Category: Generative AI Agents
Category: System Implementation
Category: Medical History Documentation
Category: Clinical Experience
Category: Data Ethics
Category: Medical Records
Category: Health Technology
Category: Large Language Modeling
Category: Health Informatics
Category: Healthcare Ethics
Category: Prompt Engineering
Category: Innovation
GenAI for Healthcare Ethics

GenAI for Healthcare Ethics

Course 65 hours

What you'll learn

  • Implement ethical frameworks for integrating generative AI in clinical settings.

  • Mitigate bias risks in generative AI models used for medical decisions.

  • Develop informed consent policies for the use of generative AI in patient care based on transparency and data privacy.

Skills you'll gain

Category: Healthcare Ethics
Category: Information Privacy
Category: Data Ethics
Category: Health Informatics
Category: Prompt Engineering
Category: Health Technology
Category: Patient Safety
Category: Artificial Intelligence
Category: Generative AI Agents
Category: Personally Identifiable Information

What you'll learn

  • Evaluate generative AI applications to identify and implement solutions tailored to specific healthcare contexts.

  • Design patient-centered AI integration strategies to enhance clinical workflows and optimize care delivery.

  • Apply ethical frameworks and compliance measures to ensure responsible AI adoption in healthcare settings.

  • Analyze real-world healthcare scenarios to develop effective and practical AI implementation strategies.

Skills you'll gain

Category: Generative AI
Category: Regulatory Compliance
Category: Generative AI Agents
Category: Healthcare Ethics
Category: Precision Medicine
Category: Patient Flow
Category: Medical Imaging
Category: Health Informatics
Category: AI Personalization
Category: Data Ethics
Category: Innovation
Category: Medical Management

What you'll learn

  • Analyze and evaluate potential Generative AI solutions for telemedicine security needs.

  • Design basic implementation strategies for integrating AI into existing telemedicine security protocols.

  • Evaluate ethical implications of using AI in telemedicine data protection.

  • Develop guidelines for responsible AI use in healthcare settings.

Skills you'll gain

Category: Generative AI
Category: Data Security
Category: Health Technology
Category: Risk Analysis
Category: Design
Category: Artificial Intelligence
Category: Health Care
Category: Healthcare Ethics
Category: Medical Privacy
Category: Telehealth
Category: Personally Identifiable Information
Category: Regulatory Compliance
Category: Innovation
Category: Analysis
Category: Cyber Security Assessment

What you'll learn

  • Apply project management methodologies to real-world healthcare projects.

  • Utilize Notion for project tracking, risk assessment, and team collaboration.

  • Evaluate project success using key performance indicators and continuous improvement strategies.

Skills you'll gain

Category: Project Management
Category: Workflow Management
Category: Performance Measurement
Category: Collaboration
Category: Collaborative Software
Category: Process Improvement
Category: Project Implementation
Category: Key Performance Indicators (KPIs)
Category: Project Risk Management
Category: Health Technology
Category: Operational Efficiency
Category: Continuous Improvement Process

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Instructors

Starweaver
Coursera Instructor Network
407 Courses750,156 learners
Alfonso Rodríguez Cotes
Coursera Instructor Network
4 Courses2,787 learners
Ritesh Vajariya
Coursera Instructor Network
13 Courses4,860 learners

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