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Secondary Analysis of Electronic Health Records
This open book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue ...
Sepsis Management in Resource-limited Settings
It constitutes a unique source of knowledge and guidance for all healthcare workers who care for patients with sepsis and septic shock in resource-limited settings. More than eighty percent of the worldwide deaths related to sepsis occur in resource-limited settings in low and middle-income countries. Current international sepsis guidelines cannot ...
WSES Handbook of Mass Casualties Incidents Management
This manual, written by world opinion leaders in the field, is designed to provide readily accessible, step-by-step guidance on all aspects of the management of mass casualty incidents. Readers will find a wealth of helpful practical suggestions as well as information on the latest relevant scientific advances and their implications. Globally, mass...
Evidence-Based Critical Care
This book approaches the study of critical care with teaching in mind. In medicine "teachable moments" usually occur in clinical context, where the engagement in a real case exemplifies principles of diagnosis or therapy. In order to replicate the teaching method, selected cases are presented within each chapter offering the reader an opp...
Internal Crowdsourcing in Companies
This open book examines the implications of internal crowdsourcing (IC) in companies. Presenting an employee-oriented, cross-sector reference model for good IC practice, it discusses the core theoretical foundations, and offers guidelines for process-management and blueprints for the implementation of IC. Furthermore, it examines solutions for empl...
Leveraging Data Science for Global Health
This open 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 emergin...