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AI-Driven Electronic Health Records & Data Management

In just 4 hours, you'll move from foundational concepts to hands-on application using tools like Glass Health, DoraScribe, and Keragon. You’ll explore voice-to-text SOAP notes, AI-generated patient education, no-code automation, and strategies for safe, scalable AI governance in clinical settings.

Ideal for physicians, nurses, administrators, and clinical coders, this course equips you to deploy AI responsibly—boosting efficiency, enhancing communication, and laying the groundwork for long-term digital transformation in healthcare.

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What's inside

Syllabus

Course Introduction

In this course, you’ll learn how to transform Electronic Health Records (EHR) workflows with Generative AI by automating clinical documentation, enhancing patient communication, and streamlining healthcare operations. You’ll focus on real-world practices such as voice-to-SOAP note transcription, AI-powered patient education, and no-code workflow design with tools like Glass Health, DoraScribe, and Keragon. Through expert instruction, case studies, and hands-on exercises, you’ll gain the skills to reduce documentation time, build scalable AI assistants, and implement governance strategies that ensure safe and effective AI adoption in clinical settings.

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Career center

Learners who complete AI-Driven Electronic Health Records & Data Management will develop knowledge and skills that may be useful to these careers:

Clinical Documentation Improvement Specialist

A Clinical Documentation Improvement Specialist plays a vital role in ensuring that clinical documentation accurately reflects the patient's condition and treatment, which is critical for patient care, compliance, and accurate billing. This involves reviewing medical records, querying physicians, and educating clinical staff on documentation best practices. This course offers substantial benefits for a Clinical Documentation Improvement Specialist by focusing on enhancing Electronic Health Record documentation and workflow efficiency using Generative Artificial Intelligence tools. You will learn how to streamline clinical documentation, automate repetitive tasks, and utilize tools for structured clinical documentation, ambient scribing, and voice-to-text solutions. These skills directly contribute to creating accurate and concise clinical notes in real time. The course's emphasis on improving the quality of documentation across healthcare roles helps build a crucial foundation for success in this role, ensuring you can leverage AI to elevate documentation standards.

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Clinical Workflow Engineer

A Clinical Workflow Engineer specializes in analyzing, designing, and optimizing clinical processes to improve efficiency, reduce errors, and enhance patient safety within healthcare settings. This role involves mapping current workflows, identifying bottlenecks, and implementing technological solutions to streamline operations. This course is exceptionally valuable for a Clinical Workflow Engineer, as it is fundamentally about transforming Electronic Health Records workflows with Generative Artificial Intelligence. You will learn how to automate clinical documentation, enhance patient communication, and streamline healthcare operations through practical applications like voice-to-SOAP note transcription and no-code workflow design. The hands-on exercises with tools like Glass Health and Keragon, combined with strategies for safe and effective AI adoption, directly equip you to redesign and improve existing clinical processes. Taking this course helps you leverage AI-driven solutions to build scalable assistants and ensure optimal workflow efficiency and care quality in clinical environments.

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Clinical Informatics Specialist

A Clinical Informatics Specialist bridges the gap between clinical practice and information technology, playing a crucial role in optimizing healthcare delivery through technology. This career involves analyzing clinical workflows, implementing and managing electronic health records, and leveraging data to improve patient outcomes and operational efficiency. This course provides a robust foundation for a Clinical Informatics Specialist by focusing on integrating Generative Artificial Intelligence tools into EHR workflows. Learners will gain practical skills in automating clinical documentation, enhancing patient communication, and streamlining healthcare operations using real-world tools. The focus on safe and ethical AI deployment, including governance frameworks and bias mitigation strategies, is particularly relevant for ensuring responsible technological adoption in clinical settings. This course helps prepare you to lead digital transformation efforts within healthcare organizations, making you adept at enhancing EHR usability and care quality with AI-driven solutions. This role often requires an advanced degree or significant clinical experience.

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Electronic Health Records Application Specialist

An Electronic Health Records Application Specialist focuses on the implementation, configuration, optimization, and ongoing support of EHR systems within a healthcare environment. This role ensures that clinicians and staff can effectively use the EHR to manage patient information and workflows. This course is exceptionally pertinent for an Electronic Health Records Application Specialist, as it directly addresses how to transform EHR workflows with Generative Artificial Intelligence tools. You will learn to integrate GenAI tools into your EHR workflows to reduce documentation time, streamline operations, and improve patient care, without waiting on your EHR vendor. The course covers practical applications such as voice-to-text SOAP notes and no-code automation, alongside strategies for safe, scalable AI governance. This focus on maximizing EHR usability, efficiency, and care quality with AI-driven solutions provides practical skills for optimizing and enhancing existing EHR systems, making you invaluable in leveraging technology for better healthcare delivery.

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Medical Coder Specialist

A Medical Coder Specialist translates healthcare services into universally accepted codes used for billing, insurance claims, and data analysis. This meticulous work requires a deep understanding of medical terminology, procedures, and official coding guidelines to ensure accurate reimbursement and compliance. This course is highly relevant for a Medical Coder Specialist, particularly as it specifically highlights how Generative Artificial Intelligence can transform revenue cycle management by automating billing and coding. Learners will gain practical insights into how AI tools can streamline these complex processes, reducing manual effort and improving accuracy. The ability to understand and implement AI-driven solutions for documentation and operational efficiency will be invaluable. Taking this course will help you navigate the evolving landscape of healthcare administration, equipping you with the knowledge to leverage AI for enhanced efficiency and precision in a coding role, making you a forward-thinking professional in the field.

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Artificial Intelligence Ethics and Governance Specialist

An Artificial Intelligence Ethics and Governance Specialist ensures that artificial intelligence systems are developed and deployed responsibly, ethically, and in compliance with regulations. This role involves establishing governance frameworks, mitigating biases, and addressing the societal impact of AI technologies, particularly in sensitive sectors like healthcare. This course is exceptionally pertinent for an Artificial Intelligence Ethics and Governance Specialist, as it directly addresses strategies for safe, scalable AI governance in clinical settings. Learners will gain knowledge about key governance frameworks, bias mitigation strategies, and the essential processes for monitoring AI performance and continuous improvement. The course emphasizes ensuring safe, ethical, and sustainable GenAI adoption. By focusing on responsible deployment and risk mitigation within healthcare, this course helps build a critical skillset for anyone dedicated to upholding ethical standards and ensuring regulatory compliance in the rapidly evolving field of AI in healthcare. This role often requires an advanced degree.

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Health Information Manager

A Health Information Manager oversees the collection, storage, and retrieval of patient health information, ensuring its accuracy, security, and compliance with privacy regulations. This role is crucial for maintaining the integrity of electronic health records and supporting clinical and administrative functions. This course is highly relevant for a Health Information Manager, as it explores ways to enhance EHR usability, efficiency, and care quality with AI-driven solutions. You will learn about managing EHR data through Generative Artificial Intelligence, including its application in documentation, operations, and patient education. The module on GenAI implementation, governance, and sustainability is particularly important, covering key governance frameworks, bias mitigation strategies, and the integration of AI with EHR systems. This course helps build expertise in navigating the complexities of modern health information management, ensuring the safe, ethical, and sustainable adoption of AI technologies for data integrity and operational excellence.

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Revenue Cycle Analyst

A Revenue Cycle Analyst plays a critical role in the financial health of healthcare organizations by optimizing the processes involved in managing patient accounts, from scheduling and registration to billing and collections. This involves analyzing financial data, identifying inefficiencies, and implementing solutions to maximize revenue and minimize denials. This course is highly relevant for a Revenue Cycle Analyst, as it specifically delves into how Generative Artificial Intelligence can transform revenue cycle management using Electronic Health Records data. You will learn through hands-on demos and practical exercises how to use AI tools to automate billing and coding, enhancing operational efficiency. The ability to apply predictive analytics to drive better decision-making in healthcare, particularly in financial processes, is a key takeaway. The course helps build understanding of how AI can streamline and improve the accuracy of financial operations, making you proficient in leveraging advanced technology to optimize the revenue cycle within a healthcare setting.

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Artificial Intelligence Enhanced Medical Scribe

An Artificial Intelligence Enhanced Medical Scribe supports clinicians by leveraging artificial intelligence tools to accurately and efficiently document patient encounters. This evolving role moves beyond traditional manual scribing to integrate advanced voice-to-text solutions and ambient scribing technologies, ensuring comprehensive and precise clinical notes in real time. This course is directly applicable for an Artificial Intelligence Enhanced Medical Scribe, as it focuses on enhancing Electronic Health Record documentation through Generative Artificial Intelligence tools like voice-to-SOAP note transcription. You will engage with practical demos and exercises to streamline clinical documentation, enabling the creation of accurate and concise clinical notes with improved usability and speed. The course provides hands-on application with tools such as DoraScribe, specifically chosen for their utility in modern scribing practices. By equipping you with these advanced AI skills, the course helps build the capacity to significantly boost efficiency and improve the quality of documentation in a clinical setting, making you an invaluable asset.

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Product Manager Healthcare Technology

A Product Manager Healthcare Technology defines the strategy, roadmap, and features for healthcare technology products, such as electronic health record systems or clinical decision support tools. This role requires understanding market needs, clinical workflows, and technological capabilities to deliver innovative solutions. This course helps a Product Manager Healthcare Technology by providing deep insights into the practical application of Generative Artificial Intelligence within Electronic Health Records. You will explore real-world use cases, understand EHR pain points, and learn about the capabilities of leading AI tools like Glass Health and DoraScribe for areas such as voice-to-SOAP note transcription and AI-powered patient education. The syllabus also covers AI governance, integration with EHR systems, and performance monitoring. This comprehensive view of AI in healthcare helps build the strategic perspective needed to identify new product opportunities, assess technological feasibility, and guide the development of innovative, AI-driven healthcare solutions. This role often requires an advanced degree.

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Healthcare Data Analyst

As a Healthcare Data Analyst, you transform complex healthcare data into actionable insights that inform decision-making, improve patient care, and optimize operational processes. This role involves collecting, interpreting, and presenting data from various sources, including Electronic Health Records. This course helps prepare a Healthcare Data Analyst, as it explores how Generative Artificial Intelligence can transform clinical analytics using EHR data. You will learn to build no-code dashboards to extract actionable insights and apply predictive analytics to drive better decision-making in healthcare. The course's emphasis on understanding EHRs and their data points, combined with practical applications of AI for data interpretation and management, helps build a relevant skillset. This course provides an understanding of how to leverage modern AI tools to manage and derive value from the vast amounts of data housed within healthcare systems, which is crucial for a Healthcare Data Analyst.

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Healthcare Operations Manager

A Healthcare Operations Manager oversees the daily administrative and clinical operations of a healthcare facility, striving to optimize efficiency, manage resources, and ensure high-quality patient care. This role involves enhancing workflows, implementing new policies, and driving operational improvements. This course is highly relevant for a Healthcare Operations Manager, as it demonstrates how to integrate Generative Artificial Intelligence tools into EHR workflows to reduce documentation time, streamline operations, and improve patient care. You will learn to automate repetitive tasks and explore no-code automation, significantly impacting operational efficiency. The module on transforming revenue cycle management and applying predictive analytics also directly supports data-driven operational decision-making. By equipping you with strategies for safe and scalable AI governance and implementation, the course helps build the capacity to lead digital transformation, ultimately fostering more efficient and effective healthcare operations.

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Healthcare Information Technology Project Manager

A Healthcare Information Technology Project Manager leads the planning, execution, and delivery of IT projects within healthcare organizations. This role involves overseeing software implementations, system upgrades, and digital transformation initiatives, ensuring they align with strategic goals and regulatory requirements. This course is highly beneficial for a Healthcare Information Technology Project Manager, as it delves into the successful implementation and scaling of Generative Artificial Intelligence tools alongside Electronic Health Records. You will explore key governance frameworks, learn about integration with EHR systems using standards like SMART-on-FHIR, and cover processes for monitoring AI performance. This equips you with the knowledge to manage complex AI projects from conception to post-deployment evaluation, ensuring safe and sustainable adoption. Understanding how to integrate GenAI tools, mitigate risks, and design AI-powered assistants for EHR workflows will be instrumental in leading successful digital transformation in healthcare.

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Digital Health Strategist

A Digital Health Strategist guides healthcare organizations in adopting and leveraging digital technologies to improve patient care, operational efficiency, and competitive positioning. This involves assessing technological trends, developing implementation roadmaps, and advising on innovative digital solutions. This course helps a Digital Health Strategist by offering insights into the transformative potential of Generative Artificial Intelligence within Electronic Health Records and data management. You will gain an understanding of how GenAI can address common EHR pain points, streamline operations, and enhance patient engagement through solutions like AI-powered patient education and no-code automation. The course's focus on foundational concepts to hands-on applications, alongside strategies for safe and scalable AI governance, helps build a comprehensive perspective. By exploring how to lay the groundwork for long-term digital transformation in healthcare, this course helps build the foresight and practical knowledge needed to steer strategic digital initiatives. This role often requires an advanced degree or extensive experience.

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Patient Experience Specialist

A Patient Experience Specialist focuses on improving the overall journey and satisfaction of patients within a healthcare system. This involves understanding patient needs, designing empathetic communication strategies, and optimizing interactions across all touchpoints, from initial contact to post-care follow-up. This course helps prepare a Patient Experience Specialist, as it explores how Generative Artificial Intelligence can transform patient education and communication. You will learn how to use AI tools to create personalized patient narratives, thereby enhancing communication and engagement. The ability to leverage AI-generated content for patient education can significantly improve understanding and adherence to care plans. By focusing on new ways to communicate complex medical information and tailor it to individual patient needs, the course helps build skills to innovate and enhance the patient's journey, which is a core responsibility for a Patient Experience Specialist.

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Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AI-Driven Electronic Health Records & Data Management.

Motivational Interviewing

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Collaborative counseling techniques replace directive lecturing to resolve patient ambivalence around medication adherence and lifestyle modification. Miller and Rollnick detail how open questions, affirmations, reflective listening, and summaries empower sustained self-management.

AI-Driven Electronic Health Records & Data Management

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