Global Health Informatics

In this book, experts from a variety of disciplines—among them computer science, medicine, public health, policy, and business—discuss key concepts, frameworks, examples, and lessons learned in designing and implementing digital health ...

Global Health Informatics

Key concepts, frameworks, examples, and lessons learned in designing and implementing health information and communication technology systems in the developing world. The widespread usage of mobile phones that bring computational power and data to our fingertips has enabled new models for tracking and battling disease. The developing world in particular has become a proving ground for innovation in eHealth (using communication and technology tools in healthcare) and mHealth (using the affordances of mobile technology in eHealth systems). In this book, experts from a variety of disciplines—among them computer science, medicine, public health, policy, and business—discuss key concepts, frameworks, examples, and lessons learned in designing and implementing digital health systems in the developing world. The contributors consider such topics as global health disparities and quality of care; aligning eHealth strategies with government policy; the role of monitoring and evaluation in improving care; databases, patient registries, and electronic health records; the lifecycle of a digital health system project; software project management; privacy and security; and evaluating health technology systems.

More Books:

Global Health Informatics
Language: en
Pages: 464
Authors: Leo Anthony G. Celi, Hamish S. F. Fraser, Vipan Nikore, Juan Sebastian Osorio, Kenneth Paik
Categories: Medical
Type: BOOK - Published: 2017-04-21 - Publisher: MIT Press

Key concepts, frameworks, examples, and lessons learned in designing and implementing health information and communication technology systems in the developing world. The widespread usage of mobile phones that bring computational power and data to our fingertips has enabled new models for tracking and battling disease. The developing world in particular
Leveraging Data Science for Global Health
Language: en
Pages: 475
Authors: Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai
Categories: Medical
Type: BOOK - Published: 2020-07-31 - Publisher: Springer Nature

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
Global Cardiac Surgery Capacity Development in Low and Middle Income Countries
Language: en
Pages: 550
Authors: Jacques Kpodonu
Categories: Medical
Type: BOOK - Published: 2021-11-22 - Publisher: Springer Nature

This book provides a focused resource on how cardiac surgery capacity can be developed and how it assists in the sustainable development and strengthening of associated health systems. Background is provided on the extent of the problems that are experienced in many nations with suggestions for how suitable frameworks can
Issues in Open Research Data
Language: en
Pages: 172
Authors: Samuel A. Moore
Categories: Education
Type: BOOK - Published: 2014-12-19 - Publisher: Ubiquity Press

n 2010 the Panton Principles for Open Data in Science were published. These principles were founded upon the idea that Science is based on building on, reusing and openly criticising the published body of scientific knowledge’ (http://pantonprinciples.org) and they provide a succinct list of the fundamentals to observe when making
Data Driven Approaches for Healthcare
Language: en
Pages: 112
Authors: Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka
Categories: Business & Economics
Type: BOOK - Published: 2019-10-10 - Publisher: CRC Press

Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially