Paper Info
Title
A semiotic approach to data in medical decision making
Abstract
Computer-based support for medical decision making has been a subject of many research projects since the earliest days of computers. Although the early expert systems promised to automate medical diagnosis, very few systems were actually utilized in clinical settings. In the last twenty years, the intent to use computers to replace or simulate medical experts has changed to a less ambitious goal of supporting and assisting the medical decision-making process. Recently, the growing availability of electronically stored patient records has provided a new opportunity for the decision support systems to utilize the data mining tools. In all these types of decision support systems, data play a central role. This paper examines three fundamental issues surrounding data: modeling of data as representation of medical concepts, interpretation of data in multiple contexts, and utilization of data in the decision-making process. The paper introduces a semiotic approach to the analysis of the role of data in medical decision making. This approach assumes that the processes of data modeling, collection, storage, processing, and interpretation are components of a larger communication process - the medical decision-making process. Furthermore, the semiotic approach describes the medical decision-making process in a broader context of representation, interpretation, and meaning making in a social context.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584301
Fuzzy Systems
Keywords
Field
DocType
data acquisition,data mining,data models,decision support systems,expert systems,medical diagnostic computing,medical information systems,automated medical diagnosis,computer-based support,data collection,data interpretation,data mining tool,data modeling,data processing,data storage,data utilization,decision support system,electronically stored patient record,expert system,medical concept,medical decision making,medical expert,semiotic approach
Data science,Data collection,Data modeling,Data processing,Semiotics,Computer science,Expert system,Decision support system,Knowledge management,Meaning-making,Medical diagnosis
Conference
ISSN
ISBN
Citations 
1098-7584
978-1-4244-6919-2
2
PageRank 
References 
Authors
0.46
2
2
Name
Order
Citations
PageRank
Mila Kwiatkowska1124.05
Linda McMillan220.46