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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Computerized Adaptive Testing System of Functional Assessment of Stroke
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The Reliability of Computerized Physician Order Entry Data for Research Studies.

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Accurate electronic health record data is crucial for research. This study found that modifying electronic orders improved but did not eliminate misclassification of adolescent chlamydia and gonorrhea testing reasons.

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Area of Science:

  • Public Health
  • Adolescent Medicine
  • Infectious Disease Epidemiology

Background:

  • Adolescents represent a significant portion of annual sexually transmitted infections (STIs) in the US.
  • Many adolescent STIs are asymptomatic, necessitating effective screening strategies.
  • Pediatric emergency departments are key sites for adolescent STI screening.

Purpose of the Study:

  • To evaluate the accuracy of provider-reported symptomatic versus asymptomatic chlamydia (CT) and gonorrhea (GC) testing in adolescents.
  • To assess the impact of electronic health record (EHR) order modification on testing accuracy.
  • To gather baseline data for a future research intervention on adolescent STI screening.

Main Methods:

  • A 1-year prospective, observational study.
  • Provider reason for CT/GC testing (symptomatic/asymptomatic) was added to EHR orders.
  • Chart reviews validated clinician testing choices; Student t test compared pre- and post-modification data.

Main Results:

  • Initial provider reporting led to significant misclassification of testing reasons.
  • Post-modification, provider-reported symptomatic testing rates were unchanged (P=0.16).
  • Provider-reported asymptomatic testing significantly declined (P=0.004), yet 23.2% remained misclassified.

Conclusions:

  • Provider-entered EHR data requires careful validation for research accuracy.
  • EHR order modifications can improve but not entirely resolve data accuracy issues.
  • Ensuring reliability of EHR data is critical before implementing research interventions.