Digital Health Care in Taiwan

This open access book introduces the National Health Insurance (NHI) system of Taiwan with a particular emphasis on its application of digital technology to improve healthcare access and quality. The authors explicate how Taiwan integrates its strong Information and Communications Technology (ICT) industry with 5G to construct an information system that facilitates medical information exchange, collects data for planning and research, refines medical claims review procedures and even assists in fighting COVID-19. Taiwan's NHI, launched in 1995, is a single-payer system funded primarily through payroll-based premiums. It covers all citizens and foreign residents with the same comprehensive benefits without the long waiting times seen in other single-payer systems. Though premium rate adjustment and various reforms were carried out in 2010, the NHI finds itself at a crossroads over its financial stability. With the advancement of technologies and an aging population, it faces challenges of expanding coverage to newly developed treatments and diagnosis methods and applying the latest innovations to deliver telemedicine and more patient-centered services. The NHI, like the national health systems of other countries, also needs to address the privacy concerns of the personal health data it collects and the issues regarding opening this data for research or commercial use. In this book, the 12 chapters cover the history, characteristics, current status, innovations and future reform plans of the NHI in the digital era. Topics explored include: Income Strategy Payment Structure Pursuing Health Equity Infrastructure of the Medical Information System Innovative Applications of the Medical Information Applications of Big Data and Artificial Intelligence Digital Health Care in Taiwan is essential reading for academic researchers and students in healthcare administration, health policy, health systems research, and health services delivery, as well as policymakers and public officials in relevant government departments. It also would appeal to academics, practitioners, and other professionals in public health, health sciences, social welfare, and health and biotechnology law

Special Libraries, July-August 1962

Volume 53, Issue 6https://scholarworks.sjsu.edu/sla_sl_1962/1005/thumbnail.jp

Digital Health Care in Taiwan

This open access book introduces the National Health Insurance (NHI) system of Taiwan with a particular emphasis on its application of digital technology to improve healthcare access and quality. The authors explicate how Taiwan integrates its strong Information and Communications Technology (ICT) industry with 5G to construct an information system that facilitates medical information exchange, collects data for planning and research, refines medical claims review procedures and even assists in fighting COVID-19. Taiwan's NHI, launched in 1995, is a single-payer system funded primarily through payroll-based premiums. It covers all citizens and foreign residents with the same comprehensive benefits without the long waiting times seen in other single-payer systems. Though premium rate adjustment and various reforms were carried out in 2010, the NHI finds itself at a crossroads over its financial stability. With the advancement of technologies and an aging population, it faces challenges of expanding coverage to newly developed treatments and diagnosis methods and applying the latest innovations to deliver telemedicine and more patient-centered services. The NHI, like the national health systems of other countries, also needs to address the privacy concerns of the personal health data it collects and the issues regarding opening this data for research or commercial use. In this book, the 12 chapters cover the history, characteristics, current status, innovations and future reform plans of the NHI in the digital era. Topics explored include: Income Strategy Payment Structure Pursuing Health Equity Infrastructure of the Medical Information System Innovative Applications of the Medical Information Applications of Big Data and Artificial Intelligence Digital Health Care in Taiwan is essential reading for academic researchers and students in healthcare administration, health policy, health systems research, and health services delivery, as well as policymakers and public officials in relevant government departments. It also would appeal to academics, practitioners, and other professionals in public health, health sciences, social welfare, and health and biotechnology law

REENERGIZING THE U.S. AND PHILIPPINES RELATIONSHIP: THE “PHILIPPINES BELT AND ROAD” PROPOSAL

The purpose of this thesis is to examine why the United States should care about its future relationship with the Philippines through the overarching lens of Pankaj Ghemawat’s Cultural, Administrative, Geographic, and Economic (CAGE) Distance Framework. In addition, we will delve deeper to investigate a more direct approach using Michael E. Porter’s classic diamond model found in The Competitive Advantage of Nations. Using qualitative and exploratory research methods, we explore three questions. First, why should the United States care from a national security and alliance perspective about an economically stronger Philippines? Second, what does an economically stronger Philippines mean strategically for the United States’ influence in the Southeast Asian region? Finally, what can be done to strengthen the United States and the Philippines relationship? In conclusion, our recommendations provide tangible solutions to current gaps between the Philippines and the United States whether they be cultural, political, or military to facilitate a prosperous relationship while simultaneously thwarting the actions of the Chinese Communist Party (CCP) sweeping through Southeast Asia.Lieutenant Commander, United States NavyLieutenant Commander, United States NavyApproved for public release. Distribution is unlimited

Guidelines for the emergency department management of traumatic brain injury : an impact assessment and development of a prognostic model to inform hospital admission decisions

Background1.4 million patients attend English and Welsh Emergency Departments (ED) annually following head injury. 95% attend with a high level of consciousness, of whom 1% have life-threatening traumatic brain injuries (TBI), whilst 7% have TBI on CT imaging.National guidelines were introduced in England and Scotland to improve TBI outcomes and reduce hospital admissions. The impact of these guidelines has not been rigorously assessed. They recommend patients with injuries on CT imaging be admitted to hospital in case they deteriorate. Accurate prediction of deterioration could identify patients safe for discharge from the ED.AimsAssess the impact of national guidelines on deaths and admissions.Develop a prediction model for deterioration in patients with injuries identified by CT imaging.MethodsInterrupted time series analyses using national data for England and Scotland were conducted to evaluate guideline impact.A systematic review was completed to identify candidate prognostic factors for deterioration. Multivariable logistic regression was used to develop prognostic models using these factors in an English multi-centre retrospective cohort of patients.ResultsGuideline impact varied by age group. Associated reductions in hospital admissions and mortality were found in those aged 16-64. In older patients, an increase in TBI mortality was observed, which was unaffected by guideline introduction.A prognostic model and decision rule was developed, using data from a cohort of 1699 patients. It achieved a sensitivity of 99.5% (95% CI: 98.1% to 99.9%) and specificity of 7.4% (95% CI: 6% to 9.1%) to a measure of deterioration encompassing need for admission.ConclusionThis first national evaluation of head injury guidelines to use quasi-experimental methods suggests guideline impact varied by age. This first empirically derived prediction model to inform admission decisions suggests a small proportion of patients could be safely discharged from the ED. External validation is required before clinical use

A video browser that learns by example

Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1996.Includes bibliographical references (leaves 72-74).by Joshua Seth Wachman.M.S

An Optical Character Recognition Engine for Graphical Processing Units

This dissertation investigates how to build an optical character recognition engine (OCR) for a graphical processing unit (GPU). I introduce basic concepts for both building an OCR engine and for programming on the GPU. I then describe the SegRec algorithm in detail and discuss my findings