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GenAI for Patient Care Coordinators and Case Management · LearnSpace
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GenAI for Patient Care Coordinators and Case Management

Курс от Coursera
Средний≈ 4.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

According to a study revealed by the University of Illinois College of Medicine, over 33% of a healthcare coordinator’s time is swallowed by paperwork, and for every 4 hours spent on direct patient care, an extra 5 hours vanish on administrative duties. Shockingly, nearly 25% of patients delay or forgo medical care because of these administrative hurdles. By addressing these time-consuming challenges, this course aims to provide a solution that can streamline administrative tasks and improve patient care management. This practical course is tailored for healthcare administrators, patient care coordinators, medical case managers, and IT professionals. You’ll discover how to harness the power of AI to automate administrative tasks, allowing you to spend more time focusing on patient care. By learning to use tools like ChatGPT, no-code AI workflows, and AI-driven case management solutions, you’ll be able to enhance efficiency, reduce burnout, and improve patient outcomes—all without needing coding skills. This course is designed for healthcare professionals who play key roles in managing patient care and healthcare operations. Whether you're a Healthcare Administrator, Patient Care Coordinator, Medical Case Manager, Clinic Manager, or Healthcare IT Professional, this course will equip you with essential skills to apply Generative AI in real-world clinical and administrative scenarios. The curriculum focuses on improving care delivery, streamlining administrative workflows, and enhancing the patient experience using cutting-edge AI tools. Participants should have a foundational understanding of healthcare operations, particularly in areas such as patient coordination and administrative processes. Familiarity with Electronic Medical Records (EMRs) and Hospital Information Systems is essential, along with basic computer literacy, including data entry, report interpretation, and the use of scheduling software. No prior knowledge of advanced technical or programming concepts is required, making this course accessible to non-technical healthcare professionals. By the end of the course, learners will be equipped to integrate Generative AI into their daily workflows. They will learn to use GenAI tools like ChatGPT for creating patient documentation, handling FAQs, and optimizing healthcare operations. They will also explore how to deploy Custom GPTs for automating specific tasks in care coordination and case management. Additionally, learners will implement AI-based scheduling solutions to reduce administrative burdens and improve operational efficiency. Finally, they will develop a comprehensive AI implementation roadmap that covers tool selection, integration strategies, staff training, and change management in a healthcare environment.

Навыки, которые вы освоите

Clinical DocumentationCare CoordinationPrompt EngineeringCase ManagementBusiness Process AutomationChatGPTAI IntegrationsHealthcare Project ManagementDecision MakingHealth Information Management and Medical RecordsPatient CoordinationPatient CommunicationHealth TechnologyGenerative AI AgentsAgentic WorkflowsTechnology RoadmapsNo-Code DevelopmentCare ManagementPractice Management Software

Программа курса

1 модулей · 28 учебных материалов

01GenAI for Patient Care Coordinators and Case Management28 материалов

Lesson 1: Introduction to GenAI for Patient Care Coordinators & Medical Case Managers

Welcome to the Course: Course OverviewЧтениеIntroduction and WelcomeВидеоGenAI: A Massive Productivity Booster for Patient Care Coordinators ВидеоHealthcare AI 101: Foundations of AI & LLMsВидео

Учитесь у экспертов

Neel Majumder

Senior Digital Health & Analytics Leader, Canada & Founder – HealthTechX Academy

Starweaver

Global Leaders in Professional & Technology Education

GenAI for Patient Care Coordinators and Case Management
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 4.3 ч

1 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Казахский, Венгерский

Часть программы вашего университета
Prompt Engineering Essentials for Care Coordinators Видео
Hands-on-Learning: Practice Prompt Engineering for Patient Communication and DocumentationВзаимная проверка
Prompting for Transfer Summaries: Concepts of Clarity and Accuracy Обсуждение
Use Case of AI-Driven Patient Communication AutomationsЧтение

Lesson 2 : Building No-Code AI Assistants for Patient Care Coordinators

Introduction to Poe: Build Powerful AI Assistants, No Code Required ВидеоBuild & Deploy an AI Assistant in Poe for Drafting Patient Query ResponsesВидеоHands-On-Learning: Design and Deploy No-Code AI Assistants Взаимная проверкаAutomating Patient Intake with Jotform AI AgentВидеоAutomating Patient Clinician Interaction with GenAIЧтение

Lesson 3 : Exploring Gen AI powered SaaS-Based tools for Patient Care Coordinators

Optimize Patient Coordination with SaaS Based GenAI Tools: Introduction & OverviewВидеоAutomating Clinical Documentation with ClinicalNotes.ai ВидеоHow to Take Clinical Notes with AI ЧтениеAutomating Treatment Planning with Easy-Peasy.aiВидеоAutomating Medical Record Summaries with Dodon.aiВидеоHands-On-Learning: Automate Medical Record Summarization with Dodon.aiВзаимная проверкаSelecting a Documentation Tool for a Mixed Digital-Paper SettingОбсуждение

Lesson 4 : A Practical Roadmap to Implementing AI in Scheduling

How to Select the Right AI Tool for Care CoordinationВидеоAI Tool Selection ChecklistЧтениеKey Phases of AI Tools ImplementationВидеоHands-On-Learning: Build a Multi-Clinic AI Implementation RoadmapВзаимная проверкаBuilding an AI Implementation Roadmap in Monday.comВидеоCongratulations and Continuous Learning JourneyВидеоProject: Designing an AI Assistant to Automate Post-Discharge Care Coordination Взаимная проверкаGenAI for Patient Care Coordinators and Case ManagementЗадание