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

(12 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

(12 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

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

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

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

Multimodal Prompts, Generative AI, Data Integration, Prompt Engineering, Healthcare Ethics, Medical Imaging, Health Informatics, Responsible AI, Generative AI Agents, Artificial Intelligence, LLM Application, and 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

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

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

Generative AI Agents, Health Technology, Health Informatics, System Implementation, Medical Privacy, Medical Records, Clinical Documentation, Responsible AI, Health Information Management and Medical Records, Prompt Engineering, and Electronic Medical Record System

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

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

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

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

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

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

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

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Starweaver
Coursera Instructor Network
448 Courses843,680 learners
Alfonso Rodríguez Cotes
Coursera Instructor Network
4 Courses3,221 learners
Ritesh Vajariya
Coursera Instructor Network
17 Courses8,269 learners
Farhan Nek
Coursera Instructor Network
2 Courses5,547 learners
Renate Zara
Coursera Instructor Network
1 Course813 learners
Joy Hicks
Coursera Instructor Network
1 Course423 learners

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