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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Related Experiment Video

Updated: Jan 20, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Development of an algorithm to detect methotrexate wrong frequency error using computerized health care data.

Lisa J Herrinton1, Tiffany S Woodworth2, Efe Eworuke3

  • 1Division of Research, Kaiser Permanente Northern California, Oakland, California.

Pharmacoepidemiology and Drug Safety
|August 15, 2019
PubMed
Summary
This summary is machine-generated.

We developed a method to find medication errors in electronic health records, finding a 0.4% error rate for methotrexate dispensings. This approach can help improve patient safety in healthcare systems.

Keywords:
adverse eventfrequency errormethotrexatepharmacoepidemiologyrheumatoid arthritis

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Area of Science:

  • Health Informatics
  • Pharmacovigilance
  • Clinical Data Analytics

Background:

  • Computerized healthcare data can contain errors impacting patient safety.
  • Accurate detection of medication errors is crucial for improving healthcare quality.

Purpose of the Study:

  • To validate an algorithm for detecting frequency errors in computerized healthcare data.
  • To estimate the incidence of these errors within an integrated healthcare system.

Main Methods:

  • Utilized Sentinel System tools on Kaiser Permanente electronic health records (2010-2015).
  • Identified potential methotrexate frequency errors using ICD-9, CPT codes, and refill patterns.
  • Performed chart review to confirm errors and assess algorithm performance.

Main Results:

  • Analyzed 24,529 methotrexate dispensings in 3,668 rheumatoid arthritis patients.
  • Confirmed three methotrexate errors, all involving initial dispensing followed by leucovorin rescue therapy.
  • Estimated the incidence of confirmed frequency errors at 0.4% for single methotrexate dispensings.

Conclusions:

  • Rescue therapy following initial methotrexate dispensing is a key indicator of potential overdose.
  • The validated algorithm is generalizable to other medications with serious adverse events treatable with antidotes.