GenAI for Patient Care Coordinators and Case Management

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GenAI for Patient Care Coordinators and Case Management

Coursera · Advanced ·🛠️ AI Tools & Apps ·1mo ago
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 con
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