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60 Journal of Enterprise Architecture November 2011 Rational Systems Design for Health Information Systems in Low-Income
 

Summary: 60 Journal of Enterprise Architecture November 2011
Article
Rational Systems Design for Health Information Systems in Low-Income
Countries: An Enterprise Architecture Approach
By Henry Mwanyika, David Lubinski, Richard Anderson, Kelley Chester, Mohamed Makame, Matt Steele, and Don de Savigny
Abstract
Low-income countries with their funding and implementing partners are increasingly recognizing health information
systems (HIS) as an essential way to strengthen and support health systems. There is tremendous potential for
innovations in information and communication technologies to assist health managers, health workers, and patients. Yet
individual technologies and software applications are often developed without specifying how they will interact and
communicate with existing and future information systems. Furthermore, they are developed without giving adequate
attention to the needs the information system is supposed to address, resulting in software applications that do not
effectively meet user needs. There is a lack of documented systematic methodology for gathering and documenting
requirements for developing HIS. This article introduces a systematic, architected, and rational approach (SARA) for the
design and development of health information systems. SARA, based on an Enterprise Architecture (EA) approach,
represents a portfolio of practices, tools, and methods that can be easily and appropriately adapted and applied in the
design phase of health information system development. This article will present early efforts to develop this portfolio
including lessons learned from applying SARA in Tanzania.
Keywords
health information systems, health management information system, enterprise architecture, eHealth, systematic

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle

 

Collections: Computer Technologies and Information Sciences