Manual of Digital Health: Informatics, Analytics, Therapeutics, Telehealth, and Regulations

The Manual of Digital Health is a comprehensive guide covering the digital health landscape, trends, and applications. The book is based on the author's experience and expertise in healthcare and technology. It provides practical insights into how digital health solutions impact patient care and improve health outcomes. The book can be used as a textbook or a reference providing readers with an end-to-end understanding of the digital health landscape. The book targets clinical informatics professionals, physicians, nurses, software programmers, healthcare administrators, entrepreneurs, investors, and students. It assumes a basic understanding of the healthcare ecosystem and provides concepts anyone working with health technologies will need to know. It covers essential topics for the professionals working with or developing products and services using information technology for the healthcare sector. The Manual of Digital Health will be invaluable for executives in healthcare technology companies, health systems, and health insurance companies. It will provide valuable insights to professionals working in digital health companies or creating startups and investors evaluating digital health technologies and business models. Physicians and nurses contemplating careers in informatics leading to CMIO or CNIO roles will find the content practical. Healthcare CIOs and executive leaders will see the discussion about enterprise health informatics and implementation of healthcare technologies, enterprise analytics, and using low-code tools relevant to strategic planning. This book is also an essential reference for students targeting a career in digital health or health informatics. The book is divided into five units. Informatics: Age of Digital Health; Enterprise Health Informatics; Enterprise Implementation; Interoperability; Healthcare Terminology; Revenue Cycle Management; Health Information Exchange; Health APIs; Health Information Standards; Healthcare Quality Improvement; Virtual Reality and Augmented Reality; Low Code and No Code in Healthcare; Security & Privacy Practices Analytics: Fundamentals of Health Analytics; Analytics in Healthcare Enterprise; Real World Evidence; Machine Learning & Artificial Intelligence; Artificial Intelligence for Healthcare Administration; Artificial Intelligence for Clinical Medicine; Generative AI and Large Language Models; Data Governance, Safety & Security Therapeutics: Digital Therapeutics; Digital Diagnostics & Digital Biomarkers; Clinical Research in Digital Health; Mobile Health Apps Telehealth: Introduction to Telehealth; Remote Patient Monitoring; Telemedicine Regulation; Technology Enabled Home Healthcare; Telehealth for Ambulatory Care, Acute Care, Home & Post Acute Care, Medical & Surgical Subspecialties, Mental Health, Rehabilitative Therapies, Clinical Services; Telehealth Reimbursement Regulations: Digital Health Regulation; Software as a Medical Device (SaMD); Clinical Decision Support Regulation; Mobile Medical App Regulation; National Evaluation System for Health Technologies, Healthcare AI Regulation; Digital Health Reimbursement; Hitech Act and Health IT Certification; CURES Act; MACRA & MIPS; TEFCA; HIPAA The book provides an overview of machine learning and includes a detailed discussion of artificial intelligence applications in healthcare administration and clinical specialties. The role of telehealth in healthcare operations as well as applications of telehealth in fifty clinical specialties is also discussed. The appendix includes a detailed discussion about careers in digital health for students, software developers, physicians, and nurses. Readers are encouraged to visit the website at www.virk.md and join the mailing list for technology updates, new regulations, and career opportunities.