AI-driven electronic health records & data management.

Format:

Video

Contributor:

Starweaver, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence--Medical applications.

Artificial intelligence.

Medical informatics.

Physical Description:

1 online resource (1 video file (4 hr., 5 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birminghan, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 4-hour course, you'll learn how Generative AI can transform Electronic Health Records by automating documentation, enhancing patient communication, and optimizing clinical workflows with tools like Glass Health, DoraScribe, and Keragon. What I will be able to do after this course Explain key EHR challenges and how Gen AI improves clinical and operational workflows. Apply Gen AI tools to streamline documentation and automate routine healthcare tasks. Enhance patient education, coding, and clinical analytics using AI-driven solutions. Implement governance and integration strategies for safe Gen AI deployment. Leverage AI dashboards and analytics to optimize EHR operations. Course Instructor(s) Starweaver collaborates with a global network of expert educators to deliver engaging, practical learning experiences. Focused on empowering individuals and organizations, they equip learners with skills to navigate challenges in technology, business, and design. Who is it for? This course is designed for physicians, nurses, medical coders, clinical administrators, and health IT staff seeking to streamline EHR workflows and adopt Generative AI solutions in healthcare settings.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808344299

OCLC:

1599129340