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How Data are Classified: Numerical Data00:59

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Data Mining on Numeric Error in Computerized Physician Order Entry System Prescriptions.

Xue Wu1, Changxu Wu2

  • 1Peking University, School of Nursing, Beijing, China.

Studies in Health Technology and Informatics
|January 4, 2018
PubMed
Summary
This summary is machine-generated.

Doctors prescribing medication in electronic health systems made specific numeric errors. Keypad errors involved keys 6, 7, and 9, while keyboard errors involved keys 2, 3, and 0. Omission and substitution were the most common error types.

Keywords:
Medical order entry systemsMedication errorsNumeric

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Area of Science:

  • Health Informatics
  • Medical Error Research
  • Human-Computer Interaction

Background:

  • Computerized physician order entry (CPOE) systems are widely used in healthcare.
  • Accurate medication dosing is critical for patient safety.
  • Numeric input errors in CPOE systems can lead to adverse drug events.

Purpose of the Study:

  • To identify specific numeric error patterns during medication prescribing in CPOE systems.
  • To analyze the types and frequencies of numeric errors.
  • To inform CPOE system design and user training to reduce prescribing errors.

Main Methods:

  • Analysis of prescription data from a CPOE system.
  • Categorization of numeric errors based on key location (Numpad vs. main keyboard).
  • Classification of errors into types: omission, substitution, transposition, and intrusion.

Main Results:

  • Specific keys were associated with higher error rates: '6', '7', '9' on the Numpad and '2', '3', '0' on the main keyboard.
  • Omission and substitution errors were more prevalent than transposition and intrusion errors.
  • Numeric errors varied based on input method (Numpad vs. main keyboard).

Conclusions:

  • Understanding numeric error patterns in CPOE is crucial for enhancing system safety.
  • Targeted interventions, such as improved keyboard design or user training, can mitigate specific error types.
  • Reducing numeric input errors in CPOE systems is essential for improving patient safety and medication accuracy.