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Aug 28, 2014

Product Vision for the Better Immunization Data (BID) Initiative

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Global

The Product Vision for the Better Immunization Data (BID) Initiative combines a "top down" approach with a "bottom up" view. We begin with the national strategies, incorporating the current context of the users (e.g., the functional architecture) before considering the facility applications (e.g., the technical architecture) that are in use and have gained traction, and how they might tie together. Through a series of seven chapters, you will be led through the steps to organize how your processes and information and communication technology (ICT) infrastructure can be integrated and standardized to meet a ministry of health's vision and requirements. This document is not intended to be a definitive description of any single country's health enterprise architecture (EA). Rather, it is a starting point; a toolkit that may be adapted by countries, as necessary, to a specific country's needs and reflective of their unique context. Readers are not expected to be experts in ICT or in EA. However, a basic knowledge of eHealth and its role in supporting health care delivery workflows is assumed. The document is written in plain language with background information, illustrations of key points, and examples where it is thought they will be helpful.

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Jan 22, 2008

Understanding Biometrics

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Global

Biometrics refers to the automatic identification of human beings based on their physical and/or behavioural characteristics (Bio = life + Metrics = measurement). These characteristics present some specific properties such as, uniqueness and persistency, making them suitable for this kind of task. Examples of physical characteristics include among others: fingerprints, face, iris, retina, and hand geometry. On the other hand, examples of behavioural characteristics include: signature, voice, keystroke dynamics, etc. The purpose of this book is to serve as an introductory source of information for people interested in Biometrics.

 

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Jan 8, 2007

Using a Fingerprint Recognition System in a Vaccine Trial to Avoid Misclassification

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Global

The potential for misidentification of trial participants, leading to misclassification, is a threat to the integrity of randomized controlled trials. The correct identification of study subjects in large trials over prolonged periods is of vital importance to those conducting clinical trials. Currently used means of identifying study participants, such as identity cards and records of name, address, name of household head and demographic characteristics, require large numbers of well-trained personnel, and still leave room for uncertainty.

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