Authors:
Thusitha Mabotuwana
and
Christopher Hall
Affiliation:
Radiology Solutions and Philips Healthcare, United States
Keyword(s):
DICOM, HL7, Medical Informatics Applications, PACS, Radiology Analytics, Radiology Informatics, Radiology Workflow.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
Data Management and Quality
;
Data Manipulation
;
Data Visualization
;
e-Business
;
Electronic Health Records and Standards
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Interoperability
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
Abstract:
Radiology departments are increasingly asked to do more with less annual budget and to remain competitive
while managing bottom lines. Identifying opportunities to improve workflow efficiency is an important aspect
of managing a department and reducing associated costs. Workflow enhancement tools can be built by making
use of HL7 and DICOM messages that are directly related to various workflow steps. In this paper, we discuss
the importance of using both HL7 and DICOM to determine more accurate metrics related to granular
workflow operations, such as distinguishing between billing and operational exam volumes. Using a
production dataset, we also demonstrate how visualization can be used to provide better visibility into routine
radiology operations.