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AI Integration in Healthcare Patient Data · LearnSpace
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AI Integration in Healthcare Patient Data

Курс от Illinois Tech
Уровень не указан≈ 17.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course delves into the integration of artificial intelligence (AI) within healthcare, focusing on patient data management. Learners will explore the ethical and policy considerations surrounding AI applications in clinical and public health settings. The course emphasizes the significance of data quality and the potential impact of bias on clinical decision support systems. Participants will gain hands-on experience with AI and machine learning tools, including natural language processing (NLP) applications for clinical note summarization. Additionally, the course covers the integration of AI with electronic health records (EHRs) and clinical decision support systems, equipping learners with the knowledge to leverage AI for improved patient outcomes.

Навыки, которые вы освоите

Data QualityHealth Care Procedure and RegulationResponsible AIHealth InformaticsHealthcare EthicsClinical Data ManagementMachine LearningClinical InformaticsArtificial IntelligenceNatural Language ProcessingRegulatory ComplianceDecision Support SystemsHealth Information ManagementData EthicsHealth TechnologyClinical DocumentationArtificial Intelligence and Machine Learning (AI/ML)Electronic Medical Record SystemHealth Care

Программа курса

3 модулей · 74 учебных материалов

01AI Applications, NLP and Agent Systems33 материалов

Course Welcome

About the SpecializationВидеоWelcome and Course OverviewВидеоInstructor IntroductionВидеоSyllabusЧтение

Учитесь у экспертов

Frank Naeymi-Rad

Преподаватель курса

AI Integration in Healthcare Patient Data
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 17.5 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Meet & GreetОбсуждение

Module 1 Overview

Module 1 OverviewЧтениеModule 1 ReadingsЧтение

Lesson 1 Machine Learning for Clinical and Population Health

Module 1 Lesson 1 Video Slides - Machine Learning for Clinical and Population HealthЧтениеC3M1L1.1 Lecture Overview and Introduction to AI & ML in HealthcareВидеоC3M1L1.2 Clinical Applications of AI & ML in HealthcareВидеоC3M1L1.3 AI & ML in Research & Precision MedicineВидеоC3M1L1.4 Generative AI in HealthcareВидеоC3M1L1.5 Operational & Public Health ImpactВидео

Lesson 2 NLP and Generative AI in Healthcare

Module 1 Lesson 2 Video Slides - NLP and Generative AI in HealthcareЧтениеC3M1L2.1 Lecture Overview and Natural Language Processing in HealthcareВидеоC3M1L2.2 Case Study - CareScore AI – NLP Documentation for Medical TrainingВидеоC3M1L2.3 Generative AI for Patient Engagement & TelehealthВидеоC3M1L2.3.1 AI-Assisted Telehealth WorkflowВидеоC3M1L2.3.2 Role of AI v/s ClinicianВидеоC3M1L2.4 Case Study – AI-Enabled Telehealth for Heart Failure ManagementВидеоC3M1L2.5 Dynamic Case Generation for Medical Training​ВидеоC3M1L2.6 Case Study – AI Case Generator for Medical EducationВидеоC3M1L2.7 Integration with EHRs & Clinical Decision SupportВидео

Lesson 3 AI Agents and Multi Agent systems

Module 1 Lesson 3 Video Slides - AI Agents and Multi Agent systemsЧтениеC3M1L3.1 Lecture Overview and Introduction to AI AgentsВидеоC3M1L3.2 Why Healthcare Needs AI AgentsВидеоC3M1L3.3 Single Agent vs Multi-Agent WorkflowsВидеоC3M1L3.4 Core Coordination MechanismsВидеоC3M1L3.5 FIPA Standards and Enabling MechanismsВидеоC3M1L3.6 Example 1 - MedAgentSim: Multi-Agent Virtual Patient SimulationВидеоC3M1L3.7 Example 2 - AI-Driven EHR Coordination Inspired by Multi-Agent DesignВидео

Module 1 Assignments

Module 1 Check Your KnowledgeЗаданиеGenerative AI vs. AI Agents for WorkflowЗадание
02AI Ethics, Bias and Responsible Deployment39 материалов

Module 2 Overview

Module 2 OverviewЧтениеModule 2 ReadingsЧтение

Lesson 1 AI Ethics in Healthcare

Module 2 Lesson 1 Video Slides - AI Ethics in HealthcareЧтениеC3M2L1.1 Lecture Overview and Framing AI Ethics in HealthcareВидеоC3M2L1.2 Ethical & Policy Vectors Driving RegulationВидеоC3M2L1.3 FDA - Implications for Clinical AIВидеоC3M2L1.4 HIPAA & Privacy Obligations in Ethical AIВидеоC3M2L1.5 Research vs Clinical Use - IRB & IDEВидеоC3M2L1.6 U.S. vs International Regulatory ApproachesВидеоC3M2L1.7 Real-World AI Governance- Mayo Clinic ModelВидеоC3M2L1.8 Why Compliance Adds ValueВидео

Lesson 2 Dataset Bias and Fairness

Module 2 Lesson 2 Video Slides - Dataset Bias and FairnessЧтениеC3M2L2.1 Lecture Overview and Introduction to Bias & Fairness in a DatasetВидеоC3M2L2.2 Fairness Metrics in Medical DatasetsВидеоC3M2L2.3 Common Types of Dataset Bias in HealthcareВидеоC3M2L2.4 Sources of Healthcare Dataset Bias​ВидеоC3M2L2.5 Documentation Bias and Workflow EffectsВидео

Lesson 3 Responsible Deployments in AI Systems

Module 2 Lesson 3 Video Slides - Responsible Deployments in AI SystemsЧтениеC3M2L3.1 Lecture Overview and Why Responsible AI MattersВидеоC3M2L3.2 Institutional AI Governance FrameworkВидеоC3M2L3.3 What is Explainability & Why It MattersВидеоC3M2L3.4 Hierarchical Framework for AI TransparencyВидеоC3M2L3.5 Explainable AI TechniquesВидео

Module 2 Assignments

Module 2 Check Your KnowledgeЗаданиеAI System Risk and Bias AssessmentЗадание
03Course Assessment2 материалов
Course Summative AssessmentЗаданиеMilestone Project: Responsible Deployment Proposal for an AI Diagnostic ToolЗадание
C3M2L2.6 Patient Care & Equity OutcomesВидео
C3M2L2.7 Data Quality Fundamentals for AI ReliabilityВидео
C3M2L2.8 Data Governance FrameworkВидео
C3M2L2.9 Data Cleaning & Validation MethodsВидео
C3M2L2.10 Quality Checks and Monitoring SystemsВидео
C3M2L2.11 Mitigation Strategies and Best PracticesВидео
C3M2L2.11.1 What is RAG in AI Healthcare?Видео
C3M2L2.11.2 How RAG can Help Mitigate BiasВидео
C3M2L2.11.3 How RAG Supports Fairness in Healthcare AIВидео
C3M2L3.5.1 Clinical Evaluation FrameworkВидео
C3M2L3.6 Compliance in a Multi-Jurisdictional WorldВидео
C3M2L3.7 Implementation - From Framework to PracticeВидео
C3M2L3.8 Measuring Responsible AI Implementation​Видео
C3M2L3.9 Emerging Trends in Responsible AIВидео