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Posts & Resources: eHealth architecture

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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.

Download File: pdf (4.4 MB)

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 6, 2014

Patient De-Identification Handbook

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Global

Integrating the Healthcare Enterprise (IHE) has put together a handbook on patient de-identification. This handbook explains the process for removing individually identifiable information from healthcare data. This includes de-identification, pseudonymization, re-linking, design consideration, techniques, and risks. The intended audience is IHE Profile editors and healthcare information technology implementers needing a guide for designing and implementing de-identification systems.  

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Dec 21, 2013

Tanzania National eHealth Strategy 2012-2018 DRAFT

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Tanzania

The Tanzania mainland’s healthcare system, through its ongoing health sector reforms, aims to improve health outcomes. As part of these reforms, the Ministry of Health and Social Welfare (MOHSW) has developed its strategic plan—the Health Sector Strategic Plan III (HSSP III)—to guide priority setting and deployment of resources in the health sector. Although implementation of HSSP III promised to produce many positive results, realizing the best outcomes in the face of increasing pressures on the healthcare system requires a fundamental transformation in the way health care is delivered and managed.  

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Nov 5, 2012

Applying a Framework for Accessing the Health System Challenges to Scaling up mHealth in South Africa

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South Africa

Mobile phone technology has demonstrated the potential to improve health service delivery, but there is little guidance to inform decisions about acquiring and implementing mHealth technology at scale in health systems. Using the case of community-based health services (CBS) in South Africa, we apply a framework to appraise the opportunities and challenges to effective implementation of mHealth at scale in health systems.

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May 1, 2012

Review of Developing Country Health Information Systems

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Global

A high level review to identify Health Enterprise Architecture assets in ten African countries. This project was commissioned by Jembi Health Systems as part of the Health Enterprise Architecture project funded by grants from the IDRC (Open Architectures, Standards and Information Systems (OASIS II) - Developing Capacity, Sharing Knowledge and Good Principles Across eHealth in Africa. Grant Number: 105708), the Rockefeller Foundation (Open eHealth Enterprise Architecture Framework and Strategy Development for the Global South; Grant Number: 2009 THS 328).

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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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Dec 1, 2010

eHealth in Tanzania- National Strategic Plan

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Tanzania

This eHealth Strategy is intended to lay a solid foundation for making the best possible use of Information and Communications Technology (ICT) resources in Tanzania’s Health and Social Welfare sector. This Strategy will modernise and increase the whole sector’s performance. For example, the role of ICT in supporting distance-education, training (both pre-service and in-service) and research, offers tangible benefits given the remoteness of many parts of Tanzania where rural health service facilities are located. Further, eHealth will help trigger a wealth of new opportunities through sector-wide empowerment, collaboration, research and innovation.

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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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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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