Difference between revisions of "Computerized Physician Order Entry-realted Medication Errors: Analysis of Reported Errors and Vulnerability Testing of Current Systems"

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== Methods ==
 
== Methods ==
Using the [https://www.medmarx.com / USP MEDMARX], data were collected for 1.04 billion medication error reports generated between January 2003 and April 2010. Of these reports, 63040 that were reported as CPOE-related errors were reviewed and analyzed to check for probable causes and potential prevention strategies. Error scenarios were used to test for vulnerability.
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Using the [http://www.medmarx.com / USP MEDMARX], data were collected for 1.04 billion medication error reports generated between January 2003 and April 2010. Of these reports, 63040 that were reported as CPOE-related errors were reviewed and analyzed to check for probable causes and potential prevention strategies. Error scenarios were used to test for vulnerability.
  
 
== Results ==
 
== Results ==

Revision as of 07:23, 31 March 2015

Introduction & Objectives

Computerized Physician Order Entry (CPOE) has been shown to improve safety by reducing medication errors. However, CPOE also has the potential for creating errors. The objectives of this study are to look at the implications and test vulnerability of CPOE systems to reported errors.

Methods

Using the / USP MEDMARX, data were collected for 1.04 billion medication error reports generated between January 2003 and April 2010. Of these reports, 63040 that were reported as CPOE-related errors were reviewed and analyzed to check for probable causes and potential prevention strategies. Error scenarios were used to test for vulnerability.

Results

Of all the medication error reports reviewed, 6.1 percent were reported as CPOE-related. After careful analysis based on report content, reviewers found that only 5004 (49.8 percent) were actually CPOE-related errors. These error reports were classified into types and arranged by prevention codes with respect to what and why the errors occurred. Reviewers identified 338 error reports that were used for vulnerability testing of thirteen CPOE systems at sixteen sites.

Conclusion

According to the analysis of error reports reviewed, CPOE was found to be a contributing factor to some of the medication errors. By having an awareness of causation and conducting vulnerability testing, these errors can be mitigated. Continuous quality improvement of CPOE systems is required to reduce or completely eliminate the types of medication errors reviewed in this study.

Discussion

The primary goal of CPOE systems and Health Information Technology (HIT) in general is patient safety. In this study, the medication error database was analyzed for CPOE-related errors that were found. Review and analysis of the types, causes, prevention strategies, and frequency of these errors validate the requirement of continuous quality improvement of CPOE system features that would prevent errors, including continued education and training of users.

References

http://qualitysafety.bmj.com/content/24/4/264.long