In this issue of Medical Clinics of North America, guest editor Dr. Romil Chadha brings his considerable expertise to the topic of Medical Informatics for the Internist and Hospitalist. Top experts cover the foundations of informatics for generalists, EHR optimization, clinical documentation technology, AI, digital communication and collaboration; ethical considerations; and more.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. CME Accreditation Page - p. iii 6. Forthcoming Issues - p. v 7. Contributors - p. vii 8. Foreword - p. xv 9. Preface - p. xvii 10. Foundations of Clinical Informatics for Generalists: Exploring the History, Core Concepts, and Current State of Informatics in Healthcare - p. 151 11. Health Information Systems and Electronic Health Record Optimization: Strategies to Enhance Electronic Health Record Usability and Clinician Workflow - p. 163 12. Designing for Usability: Optimizing Human–Computer Interaction - p. 177 13. Clinical Decision Support Systems in Generalist Practice: Utilizing Clinical Decision Support Systems Tools to Improve Clinical Decisions and Patient Outcomes - p. 191 14. Rewriting the Note with Technology: The Evolution and Future of Clinical Documentation - p. 209 15. Virtual Health in Primary Care and Hospital Medicine: Integrating Telehealth, Remote Patient Monitoring, Hospital-at-Home, E-consult, and Technology to Expand Patient Access and Continuity of Care - p. 225 16. Medical Apps for Physicians: Leveraging MHealth to Enhance Healthcare - p. 237 17. The Intersection of Social Determinants of Health and Informatics: A Review of Strategies to Improve Care Delivery - p. 247 18. Automation and Workflow Efficiency in Clinical Settings: Implementing Automation to Reduce Administrative Burdens - p. 259 19. Big Data and Predictive Analytics for Ambulatory and Inpatient Medicine: Utilizing Analytics for Population Health Management and Risk Stratification for Hospitalized Patients - p. 273 20. Clinician’s Guide to Artificial Intelligence: Technical Foundations of Machine Learning - p. 287 21. Artificial Intelligence and Machine Learning in Health Care: Current Capabilities, Emerging Potential, and Future Directions - p. 307
In this issue of Medical Clinics of North America, guest editor Dr. Romil Chadha brings his considerable expertise to the topic of Medical Informatics for the Internist and Hospitalist. Top experts cover the foundations of informatics for generalists, EHR optimization, clinical documentation technology, AI, digital communication and collaboration; ethical considerations; and more.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. CME Accreditation Page - p. iii 6. Forthcoming Issues - p. v 7. Contributors - p. vii 8. Foreword - p. xv 9. Preface - p. xvii 10. Foundations of Clinical Informatics for Generalists: Exploring the History, Core Concepts, and Current State of Informatics in Healthcare - p. 151 11. Health Information Systems and Electronic Health Record Optimization: Strategies to Enhance Electronic Health Record Usability and Clinician Workflow - p. 163 12. Designing for Usability: Optimizing Human–Computer Interaction - p. 177 13. Clinical Decision Support Systems in Generalist Practice: Utilizing Clinical Decision Support Systems Tools to Improve Clinical Decisions and Patient Outcomes - p. 191 14. Rewriting the Note with Technology: The Evolution and Future of Clinical Documentation - p. 209 15. Virtual Health in Primary Care and Hospital Medicine: Integrating Telehealth, Remote Patient Monitoring, Hospital-at-Home, E-consult, and Technology to Expand Patient Access and Continuity of Care - p. 225 16. Medical Apps for Physicians: Leveraging MHealth to Enhance Healthcare - p. 237 17. The Intersection of Social Determinants of Health and Informatics: A Review of Strategies to Improve Care Delivery - p. 247 18. Automation and Workflow Efficiency in Clinical Settings: Implementing Automation to Reduce Administrative Burdens - p. 259 19. Big Data and Predictive Analytics for Ambulatory and Inpatient Medicine: Utilizing Analytics for Population Health Management and Risk Stratification for Hospitalized Patients - p. 273 20. Clinician’s Guide to Artificial Intelligence: Technical Foundations of Machine Learning - p. 287 21. Artificial Intelligence and Machine Learning in Health Care: Current Capabilities, Emerging Potential, and Future Directions - p. 307
