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Resource Library: eHealth architecture

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Feb 6, 2006

Building Foundations for eHealth- Mozambique WHO 2006

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Mozambique

Mozambique reports that a national ePolicy to promote the use of information and communication technologies (ICT) across all sectors was implemented in 2003. This initiative has been very effective, as has the implementation of procurement policies to guide software, hardware and content acquisition, introduced in 2002. Public-private partnerships to foster the use of ICT within the health sector are also considered very effective in Mozambique.

 

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Aug 24, 2009

Madagascar eHealth WHO Report

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Madagascar

eHealth foundation actions build an enabling environment for the use of ICT for health. These include supportive eHealth policy, legal and ethical frameworks; adequate funding from various sources; infrastructure development; and developing the capacity of the health work force through training. eHealth applications surveyed in 2009 include telemedicine (the delivery of health care services using ICT where distance is a barrier to care); mHealth (the use of mobile devices in delivering health care services); and eLearning (use of ICT for learning).

 

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Aug 12, 2009

E-Health Technologies Show Promise in Developing Countries

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Global

Is there any evidence that e-health—using information technology to manage patient care—can have a positive impact in developing countries? Our systematic review of evaluations of e-health implementations in developing countries found that systems that improve communication between institutions, assist in ordering and managing medications, and help monitor and detect patients who might abandon care show promise.

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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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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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