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Difficulty: Very hardClassification of Medical Errors and Adverse Events

A 68-year-old man with a history of end-stage renal disease on hemodialysis is admitted to the hospital with severe community-acquired pneumonia. The admitting physician decides to prescribe intravenous cefepime. Recognizing the need for renal dose adjustment, the physician selects the standard pneumonia order set in the computerized physician order entry (CPOE) system. The system auto-populates a standard dose of 2 g every 8 hours. The physician attempts to modify this but inadvertently leaves the standard dose in the primary dose field, instead typing 'Renal dose: 1 g every 24 hours' in a free-text comment section.

The medication order is sent to the pharmacy. The electronic health record (EHR) interface is configured such that free-text comments are hidden unless the pharmacist manually clicks an 'expand details' tab. Under significant workload pressure, the pharmacist verifies the standard dose without expanding the tab. The medication is delivered to the floor, and the bedside nurse administers the standard dose without questioning its appropriateness for a dialysis patient. Over the next 48 hours, the patient develops profound encephalopathy and myoclonus attributed to cefepime toxicity. A root cause analysis is initiated.

Which of the following factors in this cascade represent latent errors (system-level vulnerabilities)? (Select all that apply.)

  1. A
    The physician entering the modified dosage instructions into the free-text comment section rather than the designated dose field
  2. The electronic health record interface design that obscures provider comments from the pharmacist's default verification screenAnswer
  3. The computerized physician order entry system lacking an automated renal-based dosing algorithm for high-risk antibioticsAnswer
  4. D
    The clinical pharmacist verifying the medication order without expanding the order details tab to review potential provider notes
  5. E
    The bedside nurse administering the standard antibiotic dose without recognizing the contraindication for a patient on hemodialysis

Answer

The latent errors are the electronic health record interface design that obscures comments and the lack of an automated renal-based dosing algorithm in the order entry system.
Latent errors (blunt-end errors) are structural, organizational, or technological vulnerabilities that are built into the healthcare system and lie dormant. They create the hazardous environment that sets up human error. In this scenario, the lack of an automated renal dosing alert and the poorly designed interface that hides crucial comments are systemic flaws. These latent conditions allowed the active errors committed by the physician, pharmacist, and nurse to align and reach the patient, illustrating the 'Swiss Cheese' model of accident causation.

Step-by-Step Solution

1
Differentiate between active and latent errors in the incident cascade.
Active errors occur at the 'sharp end' (human operators), while latent errors occur at the 'blunt end' (system, technology, organizational design).
Accurate classification of medical errors is required for effective Root Cause Analysis.
2
Analyze the human actions in the scenario.
The physician typing in the wrong field, the pharmacist failing to expand the tab, and the nurse failing to recognize the overdose are all human acts at the sharp end (active errors).
Frontline human mistakes, slips, and lapses are classified as active errors.
3
Analyze the technological and structural environment in the scenario.
The EHR hiding comments by default and the system lacking automated renal dose adjustments are structural flaws designed into the environment (latent errors).
Vulnerabilities embedded in the system architecture that facilitate human error are classified as latent errors.

Key Concept

Latent errors are blunt-end, structural, or systemic vulnerabilities (e.g., poor software design, lack of protocols) that lie dormant until combined with active errors (sharp-end human mistakes) to cause patient harm.
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Classification of Medical Errors and Adverse Events

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