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Generative AI-Powered Solutions for Modern Healthcare 专项课程
Coursera Instructor Network

Generative AI-Powered Solutions for Modern Healthcare 专项课程

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

Starweaver
Alfonso Rodríguez Cotes
Ritesh Vajariya

位教师:Starweaver

包含在 Coursera Plus

深入学习学科知识
4.3

(11 条评论)

中级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
4.3

(11 条评论)

中级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • 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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授课语言:英语(English)
最近已更新!

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专业化 - 9门课程系列

您将学到什么

您将获得的技能

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

GenAI for Healthcare Automation

第 2 门课程5小时

您将学到什么

  • 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.

您将获得的技能

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

您将学到什么

  • 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.

您将获得的技能

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

您将学到什么

  • 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.

您将获得的技能

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

GenAI for Clinical Documentation

第 5 门课程4小时

您将学到什么

  • 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.

您将获得的技能

类别:Generative AI Agents
类别:Electronic Medical Record System
类别:Health Technology
类别:System Implementation
类别:Prompt Engineering
类别:Medical Records
类别:Medical Privacy
类别:Health Information Management and Medical Records
类别:Clinical Documentation
类别:Health Informatics
类别:Responsible AI
GenAI for Healthcare Ethics

GenAI for Healthcare Ethics

第 6 门课程5小时

您将学到什么

  • 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.

您将获得的技能

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

您将学到什么

  • 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.

您将获得的技能

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

GenAI for Telemedicine Data Security

第 8 门课程5小时

您将学到什么

  • 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.

您将获得的技能

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

您将学到什么

  • 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.

您将获得的技能

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

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位教师

Starweaver
Coursera Instructor Network
446 门课程818,636 名学生
Alfonso Rodríguez Cotes
Coursera Instructor Network
4 门课程3,120 名学生
Ritesh Vajariya
Coursera Instructor Network
17 门课程7,396 名学生

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