Developing a taxonomy of communication

Abstract

Background: Although established communication standards do exist in the health care domain (i.e., DICOM and HL7) the communication within heterogeneous information systems still shows a variety of errors. The complexity of these systems aggravates the identification of error reasons. A structured summary of communication errors and their reasons is essential for developing methods that support the error detection. Methods: In order to summarize communication errors, a systematic literature review in PubMed was conducted. Selected references were filtered iteratively and analyzed by applying subsuming qualitative content analysis. Results: The taxonomy currently contains 12 different problem classes that group42 problems, with in total 130 reasons. Discussion: Although, not all selected literature references are yet analyzed, we observe a saturation concerning new errors/error classes. In order to increase validity and completeness expert interviews are in planning stage. However, the first results are promising.

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