Constructing mammography examination process ontology using affinity diagram and hierarchical task analysis.
Mammography is complex and difficult for beginner radiologic technologists (RTs) because knowledge and technical skills rely on one's experience, and it is often difficult for experienced RTs to verbally explain the process to co-workers or beginners. The purpose of this study was to construct a mammography examination process ontology for knowledge sharing among RTs and propose a new ontology construction method using an affinity diagram (AD) and hierarchical task analysis (HTA). First, tasks collected by brainstorming were clustered and connected using the AD. Subsequently, a hierarchical structure was constructed based on the clusters and relations determined in the AD. Finally, a mammography process ontology was determined based on the relations noted in the AD and HTA. As a result, the ontology contained 203 classes and 669 relations.
Department of Radiological Technology, Hokkaido University Hospital, Japan.
Ayako
A
Yagahara
Shintarou
S
Tsuji
Akihisa
A
Fukuda
Yuki
Y
Yokooka
Naoki
N
Nishimoto
Kunio
K
Kurowarabi
Katsuhiko
K
Ogasawara
D000465:Algorithms; D064229:Biological Ontologies / Q000458:organization & administration*; D008327:Mammography / Q000145:classification* / Q000379:methods*; D017146:Models, Organizational; D013647:Task Performance and Analysis; D009626:Terminology as Topic; D057188:Workflow