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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Formally defining medical processes
S Christov1, B Chen, G S Avrunin
1316 Department of Computer Science, University of Massachusetts at Amherst, Amherst, MA 01003, USA. christov@cs.umass.edu
Objectives:
To demonstrate a technology-based approach to continuously improving the safety of medical processes.
Methods:
The paper describes the Little-JIL process definition language, originally developed to support software engineering, and shows how it can be used to model medical processes. The paper describes a Little-JIL model of a chemotherapy process and demonstrates how this model, and some process analysis technologies that are also briefly described, can be used to identify process defects that pose safety risks.
Results:
Rigorously modeling medical processes with Little-JIL and applying automated analysis techniques to those models helped identify process defects and vulnerabilities and led to improved processes that were reanalyzed to show that the original defects were no longer present.
Conclusions:
Creating detailed and precisely defined models of medical processes that are then used as the basis for rigorous analyses can lead to improvements in the safety of these processes.
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