Document Detail


CodeSlinger: a case study in domain-driven interactive tool design for biomedical coding scheme exploration and use.
MedLine Citation:
PMID:  20865541     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
CodeSlinger is a desktop application that was developed to aid medical professionals in the intertranslation, exploration, and use of biomedical coding schemes. The application was designed to provide a highly intuitive, easy-to-use interface that simplifies a complex business problem: a set of time-consuming, laborious tasks that were regularly performed by a group of medical professionals involving manually searching coding books, searching the Internet, and checking documentation references. A workplace observation session with a target user revealed the details of the current process and a clear understanding of the business goals of the target user group. These goals drove the design of the application's interface, which centers on searches for medical conditions and displays the codes found in the application's database that represent those conditions. The interface also allows the exploration of complex conceptual relationships across multiple coding schemes.
Authors:
Natalie L Flowers
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Advances in experimental medicine and biology     Volume:  680     ISSN:  0065-2598     ISO Abbreviation:  Adv. Exp. Med. Biol.     Publication Date:  2010  
Date Detail:
Created Date:  2010-09-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0121103     Medline TA:  Adv Exp Med Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  565-72     Citation Subset:  IM    
Affiliation:
GlaxoSmithKline, Research Triangle Park, NC 27709, USA. natalie.l.flowers@gsk.com
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Using Web and social media for influenza surveillance.
Next Document:  DigitalLung: application of high-performance computing to biological system simulation.