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The medical software quality deployment method.

Authors: N, Hallberg; T, Timpka; H, Eriksson;

The medical software quality deployment method.

Abstract

The objective of this study was to develop a Quality Function Deployment (QFD) model for design of information systems in health-care environments. Consecutive blocked-subject case studies were conducted, based on action research methods.Starting with a QFD model for software development, a model for information system design, the Medical Software Quality Deployment (MSQD) model, was developed. The MSQD model was divided into the pre-study phase, in which the customer categories and their power to influence the design are determined; the data collection phase, in which the voice of customers (VoC) is identified by observations and interviews and quantified by Critical. Incident questionnaires; the need specification phase, where the VoC is specified into ranked customer needs; and the design phase where the customer needs are transformed stepwise to technical requirements and design attributes. QFD showed to be useful for integrating the values of different customer categories in software development for health-care settings. In the later design phases, other quality methods should be used for software implementation and testing.

Related Organizations
Keywords

Quality Control, Systems Analysis, Software Design, Models, Organizational, Humans, Consumer Behavior, Information Systems

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
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