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Resource Library: eHealth

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Jan 9, 2006

Building Foundations for eHealth- Kenya WHO 2006

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Kenya

Kenya reports that the majority of the listed actions to promote an enabling environment for information and communication technologies (ICT) in the health sector have been taken between 2000 and 2005. These actions are rated from moderately to very effective and are predicted to continue over the next two years. The implementation of a national eHealth policy, and creation of regulations to protect the privacy and security of individual patient data where eHealth is used are likely to be introduced by 2008.

 

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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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Jul 14, 2014

Understanding the needs and wants of pregnant women and mothers

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South Africa

Maternal, perinatal and under-5 mortality in South Africa remain high. It is estimated that 40% of all deaths are avoidable. With the ubiquity of mobile services in developing markets, value-added services such as mobile money and mobile health (mHealth) are increasingly offered as a more convenient and cheaper solution for people to access not only information but also actual financial and healthcare services.  

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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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Oct 26, 2009

First Experiences in Implementation of Biometric Technology to Link Data From Health and Demographic Surveillance Systems with Health Facility Data

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Global

In developing countries, Health and Demographic Surveillance Systems (HDSSs) provide a framework for tracking demographic and health dynamics over time in a defined geographical area. Many HDSSs co-exist with facility-based data sources in the form of Health Management Information Systems (HMIS). Integrating both data sources through reliable record linkage could provide both numerator and denominator populations to estimate disease prevalence and incidence rates in the population and enable determination of accurate health service coverage.

 

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Jul 12, 2004

DIDAFIT: Detecting Intrusions in Databases Through Fingerprinting Transactions

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Global

The most valuable information assets of an organization are often stored in databases and it is pertinent for such organizations to ensure the integrity and confidentiality of their databases. With the proliferation of ecommerce sites that are backed by database systems, databases that are available online 247 are ubiquitous. Data in these databases ranges from credit card numbers to personal medical records. Failing to protect these databases from intrusions will result in loss of customers’ confidence and might even result in lawsuits.

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Jan 11, 2010

Global Observatory for eHealth series – Volume 1

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Global

This publication presents data on the 114 WHO Member States that participated in the 2009 global survey on eHealth. Intended as a reference to the state of eHealth development in Member States, the publication highlights selected indicators in the form of country profiles. The objectives of the country profiles are to: 1.) Describe the current status of the use of ICT for health in Member States; and 2.) Provide information concerning the progress of eHealth applications in these countries.

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Jul 17, 2014

BLN Webinar: Explaining Health Enterprise Architecture

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Global

The Better Immunization Data Initiative Learning Network (BLN) recently hosted a webinar which outlined the basics for understanding and developing health enterprise architecture. Aimed at both technical and non-technical participants, the talk walked through, in plain language, what enterprise architecture is, why it is important, and how ministries of health can leverage straightforward techniques to develop a national-scale blueprint to guide their ICT investments.

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Jun 9, 2009

Ghana National eHealth Strategy

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Ghana

It is becoming increasingly clear that many developing countries, including Ghana, will find it difficult to achieve all the targets of the Millennium Development Goals by the year 2015. The challenges are well documented. Weak health systems exacerbated by continuing challenges in developing and retaining the requisite human resource for health have contributed to the current level of performance of the health sector in many developing countries. To overcome these challenges, the need for a faster and effective way to generate knowledge, share knowledge and translate knowledge into effective and affordable interventions and strategies that make health care accessible to the most needy and vulnerable people in our societies is urgently needed.

 

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Apr 26, 2012

Ghana eHealth Framework

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Ghana

Overview of eHealth in Ghana (1) Country Perspective ICT 4AD strategic plan- 2003 National EA and eGIF framework Health Sector ICT Policy and Strategy-2005 National eHealth Policy and Strategy.

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