Accessible Modelling of Complexity in Health (AMoCH) and associated data flows: asthma as an exemplar

• DOI: 10.14236/jhi.v23i1.863
• Publication Date: 2016-04-18T15:51:29Z
• Authors: Harshana Liyanage; Daniela Luzi; Simon De Lusignan; Fabrizio Pecoraro; Richard McNulty; Oscar Tamburis; Paul Krause; Michael Rigby; Mitch Blair
• Keywords: Use Case Diagram

Background Modelling is an important part of information science. Models are abstractions reality. We use models in the following contexts: (1) to describe data and flows clinical practice scientists, (2) compare health systems care pathways, (3) understand how cases recorded record (4) model business models.Asthma condition associated with a substantial mortality morbidity. However, there difficulties determining who has condition, making both its incidence prevalence uncertain.Objective To demonstrate approach for modelling complexity using asthma as exemplar.Method The four steps our process are:1. Drawing rich picture, Checkland’s soft methodology;2. Constructing flow diagrams (DFDs);3. Creating Unified Language (UML) case interaction key actors system;4. Activity diagrams, either UML activity diagram or notation diagram.Results Our picture flagged factors that might impact on diagnosis. There was consensus principle issue were undiagnosed misdiagnosed well correctly diagnosed. Genetic predisposition atopy; exposure environmental triggers; respiratory earnings ability attend education participate sport, charities, pressure groups pharmaceutical industry all increased likelihood diagnosis asthma. Stigma some within system diminished DFDs other elements focused better finding.Conclusions This reported suggested applying selection criteria may improve specificity new confirmed