Document Detail


Knowledge engineering using retrospective review of data: a useful technique or merely data dredging?
MedLine Citation:
PMID:  1820415     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The process of extracting the knowledge or rules for medical decision making is not an easy task. One approach to knowledge engineering is to carefully review how decisions were made in the past with the goal of extracting the rules. The purpose of this project was to use previously collected data from ICU patients to derive the rules for the definition of hemodynamic stability. 97 ICU patients between 9/9/86 and 7/29/90 were included in the analysis. All of these patients had adult respiratory distress syndrome. Their mechanical ventilation was managed by a set of computerized protocols. We retrospectively searched the HELP system database for instructions that were not followed due to hemodynamic reasons. For each patient, we also chose one randomly selected therapy instruction which was followed to act as a control. For each instruction we then selected the corresponding hemodynamic data set. The data was then used in a stepwise logistic regression to determine the rules used for defining hemodynamic instability. We found that several of the hemodynamic parameters we had anticipated to be important were not even measured most of the time. The blood pressures and heart rate were almost identical between the hemodynamicly stable and unstable data sets. We conclude that the decision making process used by physicians has great variation, both between and within physicians. This makes knowledge engineering using retrospective techniques such as this prone to error and probably not very fruitful.
Authors:
T D East; S Henderson; N L Pace; A H Morris; J X Brunner
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  International journal of clinical monitoring and computing     Volume:  8     ISSN:  0167-9945     ISO Abbreviation:  Int J Clin Monit Comput     Publication Date:    1991-1992
Date Detail:
Created Date:  1992-08-03     Completed Date:  1992-08-03     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8601284     Medline TA:  Int J Clin Monit Comput     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  259-62     Citation Subset:  IM    
Affiliation:
Pulmonary Division, LDS Hospital, Salt Lake City, UT 84143.
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MeSH Terms
Descriptor/Qualifier:
Bias (Epidemiology)
Clinical Protocols / standards
Database Management Systems / utilization*
Decision Support Techniques*
Hemodynamics
Humans
Intensive Care Units
Physician's Practice Patterns / standards*
Respiratory Distress Syndrome, Adult / physiopathology,  therapy
Retrospective Studies*
Software*

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


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