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To explore how the use of technology can facilitate progress toward globally recognized health priorities, the Forum on Publicâ€"Private Partnerships for Global Health and Safety organized a public workshop. Participants identified and explored the major challenges and opportunities for developing and implementing digital health strategies within the global, country, and local context, and framed the case for cross-sector and cross-industry collaboration, engagement, and investment in digital health strategies. This publication summarizes the presentations and discussions from the workshop.
Worldwide the application of information and communication technologies to support national health-care services is rapidly expanding and increasingly important. This is especially so at a time when all health systems face stringent economic challenges and greater demands to provide more and better care especially to those most in need. The National eHealth Strategy Toolkit is an expert practical guide that provides governments their ministries and stakeholders with a solid foundation and method for the development and implementation of a national eHealth vision action plan and monitoring fram.
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Quality of care is a priority for U.S. Agency for International Development (USAID). The agency's missions abroad and their host country partners work in quality improvement, but a lack of evidence about the best ways to facilitate such improvements has constrained their informed selection of interventions. Six different methods - accreditation, COPE, improvement collaborative, standards-based management and recognitions (SBM-R), supervision, and clinical in-service training - currently make up the majority of this investment for USAID missions. As their already substantial investment in quality grows, there is demand for more scientific evidence on how to reliably improve quality of care in poor countries. USAID missions, and many other organizations spending on quality improvement, would welcome more information about how different strategies work to improve quality, when and where certain tools are most effective, and the best ways to measure success and shortcomings. To gain a better understanding of the evidence supporting different quality improvement tools and clarity on how they would help advance the global quality improvement agenda, the Institute of Medicine convened a 2-day workshop in January 2015. The workshop's goal was to illuminate these different methods, discussing their pros and cons. This workshop summary is a description of the presentations and discussions.
Mental Health in a Digital World addresses mental health assessments and interventions using digital technology, including mobile phones, wearable devices and related technologies. Sections discuss mental health data collection and analysis for purposes of assessment and treatment, including the use of electronic medical records and information technologies to improve services and research, the use of digital technologies to enhance communication, psychoeducation, screening for mental disorders, the problematic use of the internet, including internet gambling and gaming, cybersex and cyberchondria, and internet interventions, ranging from online psychotherapy to mobile phone apps and virtual reality adjuncts to psychotherapy. Reviews research and applications of digital technology to mental health Includes digital technologies for assessment, intervention, communication and education Addresses data collection and analysis, service delivery and the therapeutic relationship Discusses the E-related disorders that complicate digital intervention
Chronic diseases are common and costly, yet they are also among the most preventable health problems. Comprehensive and accurate disease surveillance systems are needed to implement successful efforts which will reduce the burden of chronic diseases on the U.S. population. A number of sources of surveillance data-including population surveys, cohort studies, disease registries, administrative health data, and vital statistics-contribute critical information about chronic disease. But no central surveillance system provides the information needed to analyze how chronic disease impacts the U.S. population, to identify public health priorities, or to track the progress of preventive efforts. A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases outlines a conceptual framework for building a national chronic disease surveillance system focused primarily on cardiovascular and chronic lung diseases. This system should be capable of providing data on disparities in incidence and prevalence of the diseases by race, ethnicity, socioeconomic status, and geographic region, along with data on disease risk factors, clinical care delivery, and functional health outcomes. This coordinated surveillance system is needed to integrate and expand existing information across the multiple levels of decision making in order to generate actionable, timely knowledge for a range of stakeholders at the local, state or regional, and national levels. The recommendations presented in A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases focus on data collection, resource allocation, monitoring activities, and implementation. The report also recommends that systems evolve along with new knowledge about emerging risk factors, advancing technologies, and new understanding of the basis for disease. This report will inform decision-making among federal health agencies, especially the Department of Health and Human Services; public health and clinical practitioners; non-governmental organizations; and policy makers, among others.
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Mental Health in a Digital World addresses mental health assessments and interventions using digital technology, including mobile phones, wearable devices and related technologies. Sections discuss mental health data collection and analysis for purposes of assessment and treatment, including the use of electronic medical records and information technologies to improve services and research, the use of digital technologies to enhance communication, psychoeducation, screening for mental disorders, the problematic use of the internet, including internet gambling and gaming, cybersex and cyberchondria, and internet interventions, ranging from online psychotherapy to mobile phone apps and virtual reality adjuncts to psychotherapy. - Reviews research and applications of digital technology to mental health - Includes digital technologies for assessment, intervention, communication and education - Addresses data collection and analysis, service delivery and the therapeutic relationship - Discusses the E-related disorders that complicate digital intervention
This study has emerged from an ongoing program of trilateral cooperation between WHO, WTO and WIPO. It responds to an increasing demand, particularly in developing countries, for strengthened capacity for informed policy-making in areas of intersection between health, trade and IP, focusing on access to and innovation of medicines and other medical technologies.