Study: Medical Error Surveillance Easier With Analysis of Untapped Administrative Data

A new study published in the Journal of Healthcare Risk Management found that analyzing hospital administrative data can provide useful population-level descriptions of patient safety data.

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The study, published and performed by researchers from Philadelphia-based Drexel School of Public Health, analyzed medical error data from 2006, identifying preventable errors with ICD-M-9 codes and Agency for Healthcare Research and Quality algorithms, according to a news release by Drexel. 
 

 
Researchers found that patients who experienced a compromising event tended to be older, male and white. Patients who experienced a medical error also stayed at the hospital 3 days longer and cost $35,000 dollars more to care for on average. 
 
The lead study author, Jennifer Taylor, PhD, MPH, indicated that this type of data analysis is the foundation for identifying the potential for medical errors and preventing them before they happen. 
 

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