Literature DB >> 18852912

Formally defining medical processes.

S Christov1, B Chen, G S Avrunin, L A Clarke, L J Osterweil, D Brown, L Cassells, W Mertens.   

Abstract

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.

Mesh:

Year:  2008        PMID: 18852912     DOI: 10.3414/me9120

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  2 in total

1.  Online deviation detection for medical processes.

Authors:  Stefan C Christov; George S Avrunin; Lori A Clarke
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

2.  Reducing missed laboratory results: defining temporal responsibility, generating user interfaces for test process tracking, and retrospective analyses to identify problems.

Authors:  Sureyya Tarkan; Catherine Plaisant; Ben Shneiderman; A Zachary Hettinger
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22
  2 in total

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