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Generative AI-Powered Solutions for Modern Healthcare Specialization

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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

(9 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(9 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

August 2025

39 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Coursera Instructor Network

Specialization - 9 course series

What you'll learn

Skills you'll gain

Category: Natural Language Processing
Category: Decision Support Systems
Category: Health Informatics
Category: Health Care Procedure and Regulation
Category: Generative AI
Category: Treatment Planning
Category: Medical Privacy
Category: Responsible AI
Category: Artificial Intelligence
Category: Data Ethics
Category: Medical Imaging
Category: Healthcare Industry Knowledge
Category: Healthcare Ethics

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 Industry Knowledge
Category: Data Ethics
Category: Generative AI Agents
Category: Health Informatics
Category: Health Technology
Category: Automation
Category: Clinical Informatics
Category: Health Care Administration
Category: Innovation
Category: Artificial Intelligence
Category: System Implementation
Category: Predictive Modeling
Category: Responsible AI

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: Data Integration
Category: Prompt Engineering
Category: Generative AI
Category: Medical Imaging
Category: Artificial Intelligence
Category: Generative AI Agents
Category: Healthcare Ethics
Category: Health Informatics
Category: LLM Application
Category: Responsible AI
Category: Multimodal Prompts
Category: Diagnostic Tests

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: Health Systems
Category: Operations Management
Category: Process Improvement
Category: Communication Strategies
Category: Operational Efficiency
Category: Lean Methodologies
Category: Coordination
Category: Health Care Administration
Category: Resource Utilization
Category: Continuous Improvement Process
Category: Patient Flow
Category: Data-Driven Decision-Making
Category: Cross-Functional Collaboration
Category: Health Technology
Category: Health Care Procedure and Regulation
Category: Systems Thinking

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: Health Informatics
Category: Responsible AI
Category: Health Technology
Category: Clinical Documentation
Category: Prompt Engineering
Category: Health Information Management and Medical Records
Category: Medical Privacy
Category: System Implementation
Category: Electronic Medical Record System
Category: Medical Records

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: Data Ethics
Category: Patient-centered Care
Category: Health Information Management
Category: Patient Safety
Category: Generative AI Agents
Category: Healthcare Industry Knowledge
Category: Responsible AI
Category: Clinical Research Ethics
Category: Medical Privacy
Category: Informed Consent
Category: Prompt Engineering

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: Medical Privacy
Category: System Implementation
Category: Health Care Procedure and Regulation
Category: Health Care
Category: Responsible AI
Category: Data Ethics
Category: Personally Identifiable Information
Category: Medical Imaging
Category: Health Information Management
Category: Innovation
Category: Clinical Informatics
Category: Patient-centered Care
Category: Generative AI Agents
Category: Regulatory Compliance
Category: Healthcare Industry Knowledge
Category: Health Insurance Portability And Accountability Act (HIPAA) Compliance
Category: Data Governance

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: Data Security
Category: Health Technology
Category: Artificial Intelligence
Category: Regulatory Compliance
Category: Health Care Procedure and Regulation
Category: Generative AI
Category: Healthcare Ethics
Category: Analysis
Category: Telehealth
Category: Security Strategy
Category: Risk Analysis
Category: Innovation
Category: Design
Category: System Implementation
Category: Responsible AI

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: Collaborative Software
Category: Compliance Management
Category: Regulatory Affairs
Category: Process Improvement
Category: Team Oriented
Category: Key Performance Indicators (KPIs)
Category: Risk Management
Category: Health Technology
Category: Workflow Management
Category: Health Care Procedure and Regulation
Category: Healthcare Industry Knowledge
Category: Project Management Software
Category: Continuous Improvement Process
Category: Collaboration

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Instructors

Starweaver
Coursera Instructor Network
420 Courses785,540 learners
Alfonso Rodríguez Cotes
Coursera Instructor Network
4 Courses2,966 learners
Ritesh Vajariya
Coursera Instructor Network
13 Courses5,990 learners
Farhan Nek
Coursera Instructor Network
2 Courses4,778 learners
Renate Zara
Coursera Instructor Network
1 Course634 learners
Joy Hicks
Coursera Instructor Network
1 Course349 learners

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