Aug 28, 2014
Product Vision for the Better Immunization Data (BID) Initiative
Applications, DHIS2, eHealth, eHealth architecture, eLMIS, Hardware, iHRIS, Immunization Registry, mHealth, openMRS, Products, SMT (Stock Management Tool), Software, Standards, Supply Chain, Tools
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.
Jul 17, 2014
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.
Jun 6, 2014
Patient De-Identification HandbookIntegrating 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.
Dec 21, 2013
Tanzania National eHealth Strategy 2012-2018 DRAFT
Nov 5, 2012
Applying a Framework for Accessing the Health System Challenges to Scaling up mHealth in South Africa
May 1, 2012
Review of Developing Country Health Information Systems
Apr 26, 2012
Ghana eHealth Framework
Dec 1, 2010
eHealth in Tanzania- National Strategic Plan
Jan 11, 2010
Global Observatory for eHealth series – Volume 1
Oct 26, 2009
First Experiences in Implementation of Biometric Technology to Link Data From Health and Demographic Surveillance Systems with Health Facility Data
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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