This book constitutes the refereed post-conference proceedings of the 9th International Conference on Mobile Communication and Healthcare, MobiHealth 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually. The book contains 13 full papers selected from the main conference and 10 full papers from two workshops on medical artificial intelligence and on digital healthcare technologies. The conference papers are organized in topical sections on wearable technologies; health telemetry; mobile sensing and assessment; machine learning in eHealth applications.

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Mobile Communication and Healthcare, MobiHealth 2019, held in Dublin, Ireland, in November 2019. The 26 revised full papers were reviewed and selected from 45 submissions and are organized in topical sections on mobility and real-time assessment, remote patient monitoring, patient monitoring and assessment of ICT solutions, patient monitoring and robotics, wearable technologies and smart measurement, data management within mHealth environments.

The United States has seen major advances in medical care during the past decades, but access to care at an affordable cost is not universal. Many Americans lack health care insurance of any kind, and many others with insurance are nonetheless exposed to financial risk because of high premiums, deductibles, co-pays, limits on insurance payments, and uncovered services. One might expect that the U.S. poverty measure would capture these financial effects and trends in them over time. Yet the current official poverty measure developed in the early 1960s does not take into account significant increases and variations in medical care costs, insurance coverage, out-of-pocket spending, and the financial burden imposed on families and individuals. Although medical costs consume a growing share of family and national income and studies regularly document high rates of medical financial stress and debt, the current poverty measure does not capture the consequences for families' economic security or their income available for other basic needs. In 1995, a panel of the National Research Council (NRC) recommended a new poverty measure, which compares families' disposable income to poverty thresholds based on current spending for food, clothing, shelter, utilities, and a little more. The panel's recommendations stimulated extensive collaborative research involving several government agencies on experimental poverty measures that led to a new research Supplemental Poverty Measure (SPM), which the U.S. Census Bureau first published in November 2011 and will update annually. Analyses of the effects of including and excluding certain factors from the new SPM showed that, were it not for the cost that families incurred for premiums and other medical expenses not covered by health insurance, 10 million fewer people would have been poor according to the SPM. The implementation of the patient Protection and Affordable Care Act (ACA) provides a strong impetus to think rigorously about ways to measure medical care economic burden and risk, which is the basis for Medical Care Economic Risk. As new policies - whether part of the ACA or other policies - are implemented that seek to expand and improve health insurance coverage and to protect against the high costs of medical care relative to income, such measures will be important to assess the effects of policy changes in both the short and long term on the extent of financial burden and risk for the population, which are explained in this report. Table of Contents Front Matter Summary PART I: REVIEW AND RECOMMENDATIONS 1 Introduction 2 Concepts of Medical Care Economic Burden and Risk 3 Concepts of Resources 4 Measures of Medical Care Economic Risk and Recommended Approach 5 Data Sources 6 Implementing Measures of Medical Care Economic Burden and Risk References Acronyms and Abbreviations Appendix: Biographical Sketches of Panel Members and Staff PART II: RESOURCES FOR THE STUDY: DEVELOPING A MEASURE OF MEDICAL CARE ECONOMIC RISK - WORKSHOP SUMMARY 1 Introduction 2 Context for the Workshop 3 Measuring Medical Care Economic Risk 4 Issues in the Development of Thresholds 5 Issues in Defining Resources 6 Implementation Issues 7 Recap of Issues and Next Steps References Appendix: Workshop Agenda and Presenters PART III: RESOURCES FOR THE STUDY: BACKGROUND PAPERS Conceptual Framework for Measuring Medical Care Economic Risk--Sarah Meier and Barbara Wolfe Incorporating Data on Assets into Measures of Financial Burdens of Health--Jessica S. Banthin and Didem Bernard An Assessment of Data Sources for Measuring Medical Care Economic Risk--John L. Czajka Committee on National Statistics Institute of Medicine