Academic Press Digital Health Maturity: Quality, Interoperability, and Innovation

Digital Health Maturity, Innovation, and Quality Improvement provides a roadmap to move from endless pilots and ad hoc system purchase to a systematic, stepwise, and integrated approach to increasing digital health capacity. Specific guidelines, tools, and use cases are discussed to show how the digital health maturity model (DHMM) can be put into actual practice. The book discusses topics such as foundations of DHMM and how to put them into practice; organizational considerations for implementation; and best practices, tools, and pitfalls to avoid. In addition, it discusses the future of DHMM and the impact of a global adherence to digital health. It is a valuable resource for researchers, students, policy makers, governments and anyone who is interested in learning more about digital health and its benefits worldwide. Review Explains the digital health maturity model (DHMM), a methodology to implement and expand the access to healthcare services using digital technologies About the Author Emeritus Professor Liaw MD, PhD is a clinician scientist and informatician who uses mixed methodologies to research digital health, focusing on electronic decision support, mHealth, data quality & interoperability and ethical, legal & social issues. He has sustained international collaborations on his digital health program in Asia-Pacific, Europe, and America. He is a Fellow, American College of Medical Informatics (2012) and Founding Fellow, Australasian College of Health Informatics (2002) and International Academy of Health Sciences Informatics (2017). He is the current Chair of the IMIA Primary Care Informatics WG. As Head, WHO Collaborating Centre on eHealth (AUS-135), he assists WHO member states, especially low- & middle-income countries (LMIC), with digital health maturity model (DHMM) based approaches to implement and sustain national digital health programs to achieve universal health coverage, safe and cost-effective integrated person-centred health services and community development. He has attracted more than $18M in competitive grants and published extensively in health informatics & digital health. Dr. Michael Kahn MD, PhD is Emeritus Professor of Informatics and Data Science in the Department of Pediatrics at the University of Colorado Anschutz Medical Campus. He is also co-Director of the Colorado Clinical and Translational Sciences Institute (CCTSI); Biomedical Informatics core director for the CCTSI; and Director of Clinical Informatics in the Department of Quality & Patient Safety at The Children’s Hospital. Dr. Kahn holds joint appointments in the School of Medicine, School of Public Health, College of Nursing and Graduate School at the University of Colorado. He has been co-chair of the national NIH funded Clinical and Translational Sciences Award (CTSA) Informatics Key Function Committee, which represents the informatics core directors for all 62 CTSA grantees. Dr. Kahn’s research interests include clinical data warehouses for both operational and retrospective research support, and translational research informatics for both T1 (bench to bedside) and T2 (bedside to community) translational settings. Most recently, his research interests have focused on data quality assessment in large-scale distributed national comparative effectiveness research networks.? I am an early career researcher (Research Fellow) with the School of Population Health under the Faculty of Medicine at University of New South Wales (UNSW), Sydney, Australia. My research interests are in the secondary usage of routinely collected electronic health records (EHRs) data. My focus is on linking and harmonising primary care data with hospital admissions data, social media, and wearable devices data to undertake large scale observational research. As part of my PhD, I investigated the methods to assess absolute risk assessment for coronary artery disease in Type 2 Diabetes patients using EHRs. I am