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There is 1 module in this course
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.
In this course, you’ll explore the applications and impact of Generative AI in healthcare administration and patient coordination. Through hands-on experience with tools like ChatGPT, Custom GPTs, and no-code automation platforms, you’ll learn to streamline documentation, automate workflows, and optimize scheduling. You’ll also design a tailored AI adoption roadmap, addressing integration, training, and change management to drive responsible and effective AI implementation in healthcare settings.
Coursera brings together a diverse network of subject matter experts who have demonstrated their expertise through professional industry experience or strong academic backgrounds. These instructors design and teach courses that make practical, career-relevant skills accessible to learners worldwide.
What does GenAI in care coordination mean in this course?
In this course, it means using generative AI to support the routine administrative and communication work that surrounds patient care. The emphasis is on helping coordinators handle recurring tasks like documentation, patient questions, scheduling support, and case updates with human review still built in.
When would you use GenAI in care coordination work?
You would use it when a coordination task follows a pattern and needs to be drafted, summarized, or organized quickly. The course focuses on common situations such as preparing patient-facing messages, creating documentation, supporting intake and scheduling, and pulling key points from records before follow-up.
How does using GenAI fit into a broader care coordination workflow?
It fits between gathering information and taking final action, helping turn notes, questions, and updates into usable drafts and summaries. The course treats it as part of a repeatable workflow that supports follow-up, communication, and case management rather than as a one-off shortcut.
How is using GenAI in care coordination different from doing these tasks manually?
Manual coordination often means rewriting similar messages, summaries, and checklists from scratch each time. In this course, GenAI is used to produce a first draft or organized output for recurring tasks, while the coordinator remains responsible for reviewing clarity, accuracy, and appropriateness.
Do you need any prerequisites before learning to use GenAI in care coordination?
A basic understanding of healthcare operations is helpful, especially patient coordination, administrative processes, EMRs, and hospital information systems. No deep technical or programming background is required, but learners should be comfortable with routine computer work such as data entry, reading reports, and using scheduling software.
What tools, platforms, or methods are used in this course?
The course uses conversational GenAI tools such as ChatGPT, along with no-code AI assistants and SaaS healthcare tools for documentation, intake, scheduling, and record summarization. A major part of the method is learning how to structure prompts and how to plan a practical rollout of AI into existing workflows.
What specific tasks will you practice or complete in this course?
You practice drafting patient documentation, FAQs, and care messages; building no-code assistants for routine coordination work; and using AI to summarize records and support scheduling or intake tasks. You also compare tool options and create an implementation roadmap that covers selection, integration, staff training, and change management.