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AI & Digital Transformation in Clinical Practice · LearnSpace
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AI & Digital Transformation in Clinical Practice

Курс от STARWEAVER
Средний≈ 11.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Artificial intelligence in healthcare is transforming clinical practice, but successful adoption requires more than understanding the technology. It demands the ability to evaluate AI tools, integrate them into clinical workflows, and use them responsibly to improve patient care. This course equips healthcare professionals with practical, non-technical knowledge to apply AI in clinical practice across diagnostics, patient monitoring, clinical operations, and digital transformation initiatives. Learners will explore how AI supports, rather than replaces, clinical judgment while improving efficiency, reducing administrative burden, and enabling data-driven decision-making. What makes this course unique is its strong focus on real-world clinical application instead of AI development or programming. Through case studies, workflow redesign exercises, hands-on activities, role plays, and a capstone project, learners will develop the confidence to assess AI in clinical settings, manage organizational change, and address ethical, regulatory, and governance considerations. By the end of the course, learners will be prepared to identify high-impact AI opportunities, lead responsible digital transformation initiatives, and implement AI solutions that enhance patient outcomes while maintaining safety, transparency, and clinician accountability.

Навыки, которые вы освоите

Responsible AIClinical DocumentationAI WorkflowsDigital TransformationPatient CoordinationHealth Care Procedure and RegulationHealth CarePatient EvaluationHealth AdministrationAI IntegrationsArtificial IntelligenceDiagnostic TestsHealth TechnologyPatient ObservationTechnology StrategiesHealthcare Project ManagementRiskingHealthcare EthicsAI EnablementClinical Leadership

Программа курса

4 модулей · 71 учебных материалов

01Clinical Challenges and the Role of AI in Healthcare19 материалов

Lesson 1: Understanding Clinical Pain Points

Diagnosing the Real Problem Before Reaching for AIDIALOGUEWelcome to the Course: Course OverviewЧтениеCourse Welcome and GoalsВидеоModule IntroductionВидео

Учитесь у экспертов

Ashish Mohan

Architecting AI/ML & Fintech Solutions | GenAI, Cloud & Digital Ethics Evangelist | Adobe Ex-Microsoft, JP Morgan Chase, Cisco | MS CS

Starweaver

Global Leaders in Professional & Technology Education

AI & Digital Transformation in Clinical Practice
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Обучение на Coursera

≈ 11.4 ч

4 модулей

Язык: Английский

Часть программы вашего университета
Diagnostic Delays and Decision FatigueВидео
Administrative Overload in HealthcareВидео
Care Coordination and Workflow GapsВидео
Which Clinical Pain Point Should Be Solved First?Обсуждение

Lesson 2: Where AI Fits in Clinical Practice

AI as Clinical Decision SupportВидеоAI in Clinical Documentation and TriageВидеоHuman-in-the-Loop AI ModelsВидео

Lesson 3: Realistic Expectations from Clinical AI

What AI Can and Cannot DoВидеоRisks of Over-AutomationВидеоBuilding Trust in AI SystemsВидеоAI in Healthcare: Opportunities and LimitationsЧтениеWhat Would Make You Trust or Question an AI Recommendation?ОбсуждениеHands-On-Learning: Mapping Clinical Problems to AI SolutionsВзаимная проверкаClinical Committee Discussion on Adopting an AI Decision Support ToolDIALOGUEClinical Challenges and the Role of AI in HealthcareЗадание
02Applying AI Across Diagnostics, Patient Care, and Clinical Operations17 материалов

Lesson 1: AI in Clinical Diagnostics and Decision Support

Choosing the Right AI Application for the Right Clinical ProblemDIALOGUEModule IntroductionВидеоAI in Medical Imaging and DiagnosticsВидеоPredictive Analytics and Risk ScoringВидеоInterpreting AI Outputs in Clinical DecisionsВидеоWhere Would Decision Support Help You Most?Обсуждение

Lesson 2: AI in Patient Care and Monitoring

AI for Patient Monitoring and AlertsВидеоAI Supported Personalized Care PathwaysВидеоAI in Patient Engagement and CommunicationВидеоBalancing Automation with Human Care in Daily WorkflowsОбсуждение

Lesson 3: AI for Clinical Operations and Workflow Efficiency

AI for Scheduling and Resource OptimizationВидеоClinical Documentation and AutomationВидеоMeasuring Operational Impact of AIВидеоAI Use Cases in Clinical PracticeЧтениеHands-On-Learning: Evaluating AI Use Cases in a Clinical WorkflowВзаимная проверкаChoosing an AI Use Case for a Hospital DepartmentDIALOGUE
03Managing Digital Transformation and AI Adoption in Clinical Settings17 материалов

Lesson 1: Digital Transformation in Healthcare – Beyond Technology

Why Technology Alone Won't Transform the ClinicDIALOGUEModule IntroductionВидеоWhat Digital Transformation Really Means in HealthcareВидеоCommon Reasons AI Projects Fail in HealthcareВидеоAligning AI with Clinical GoalsВидео

Lesson 2: Redesigning Clinical Workflows for AI Integration

Identifying AI Touchpoints in Clinical WorkflowsВидеоHuman–AI Collaboration ModelsВидеоMaintaining Clinical AccountabilityВидеоWhere Could AI Fit Naturally in Your Workflow?Обсуждение

Lesson 3: Driving Adoption and Managing Change

Clinician Adoption and Trust in AIВидеоTraining and Upskilling Clinical TeamsВидеоMeasuring Adoption and Transformation SuccessВидеоDigital Transformation in Healthcare ExplainedЧтениеWhat Is the Biggest Barrier to AI Adoption in Your Setting?ОбсуждениеHands-On-Learning: Redesigning a Clinical Workflow for AI IntegrationВзаимная проверка
04Ethical, Regulatory, and Responsible AI in Clinical Practice18 материалов

Lesson 1: Ethical Principles of AI in Healthcare

Weighing Ethics Before Rolling Out Clinical AIDIALOGUEModule IntroductionВидеоFairness, Bias, and Patient EquityВидеоTransparency and Explainability in Clinical AIВидеоAccountability and Clinical ResponsibilityВидео

Lesson 2: Governance, Regulation, and Risk Management

AI Governance in Healthcare OrganizationsВидеоData Privacy and Patient ConsentВидеоRisk Assessment and Clinical SafetyВидеоWhat Safeguard Would You Prioritize First?Обсуждение

Lesson 3: Responsible AI Adoption and the Future of Clinical Practice

Building Responsible AI CultureВидеоPreparing Clinicians for AI-Driven FuturesВидеоBalancing Innovation with Patient TrustВидеоEthical AI in HealthcareЧтениеHow Should Healthcare Balance Innovation with Responsibility?ОбсуждениеHands-On-Learning: Ethical Risk Assessment of a Clinical AI SystemВзаимная проверка
Applying AI Across Diagnostics, Patient Care, and Clinical OperationsЗадание
Leading AI Adoption in a Clinical Department DIALOGUE
Managing Digital Transformation and AI Adoption in Clinical SettingsЗадание
Ethics and Governance Committee Review of a Clinical AI ProposalDIALOGUE
Project: Designing a Responsible AI Adoption Plan for a Clinical SettingВзаимная проверка
Ethical, Regulatory, and Responsible AI in Clinical PracticeЗадание