Learning Expert Strategies for AI-Driven EHR & Data Management

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Free Download Expert Strategies for AI-Driven EHR & Data Management
Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 7m | Size: 2.13 GB
AI in healthcare, EHR automation, clinical documentation, patient education, and analytics tools

What you'll learn
Explain key EHR challenges and how GenAI can improve clinical and operational workflows.
Apply GenAI tools to streamline documentation and automate routine healthcare tasks.
Identify GenAI use cases that enhance patient education, coding, and clinical analytics.
Optimize GenAI implementation through effective governance, integration, and performance monitoring.
Requirements
To get the most out of this course, participants should have basic experience working with Electronic Health Records (EHRs). No coding knowledge is required, as the course focuses on using no-code AI tools to optimize workflows. A familiarity with digital tools and technology will be helpful, but this course is designed to be accessible to professionals with varying levels of technical expertise. Whether you're a clinician, coder, or healthcare administrator, the course provides practical, hands-on training that doesn't require programming skills but does assume you have a foundational understanding of EHR systems and their role in clinical practice.
Description
The AI-Driven Electronic Health Records & Data Management specialization is designed to equip healthcare professionals and administrators with the knowledge and practical skills to revolutionize EHR workflows using Generative AI technologies. Through this comprehensive program, learners will explore how AI can automate clinical documentation, enhance patient engagement, streamline healthcare operations, and improve decision-making efficiency across medical environments.Following a structured, application-focused approach, each module delves into the practical use of AI-driven tools such as Glass Health, DoraScribe, and Keragon, enabling learners to experience real-world applications of voice-to-SOAP note transcription, patient education automation, and no-code workflow design. Participants will engage in expert-led lessons, case studies, and guided exercises that mirror real healthcare scenarios, ensuring a deep understanding of how AI can safely and effectively be integrated into clinical and administrative settings.The specialization emphasizes not only technical mastery but also governance, ethical considerations, and best practices for responsible AI adoption in healthcare. Learners will gain hands-on experience in designing AI-powered systems that reduce documentation time, improve care coordination, and support compliance with healthcare data regulations.By the end of this program, participants will have developed the confidence to implement scalable AI solutions, create efficient digital workflows, and contribute to the transformation of healthcare data management. This specialization empowers professionals to lead innovation in EHR modernization, improve patient outcomes, and drive operational excellence across healthcare institutions.
Who this course is for
This course is tailored for healthcare professionals who interact with Electronic Health Records (EHRs) in their daily workflows. It is ideal for physicians and residents who aim to optimize their documentation processes, as well as nurses and nurse educators looking to streamline clinical note-taking and patient education. Medical coders and documentation specialists will find practical applications for automating coding tasks and enhancing data accuracy, while clinical admin and health IT staff will benefit from learning how to implement and manage AI tools in healthcare environments. Whether you are directly involved in patient care or managing the administrative side of healthcare, this course will empower you to improve efficiency and enhance the quality of care using Generative AI.
Homepage

https://www.udemy.com/course/expert-strategies-for-ai-driven-ehr-data-management/

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