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College of American Pathologists Cancer Protocols: Optimizing Format for Accuracy and Efficiency.

Leah B Strickland-Marmol1, Carlos A Muro-Cacho, Scott D Barnett

  • 1From the Departments of Pathology and Laboratory Medicine (Drs Strickland-Marmol, Muro-Cacho, and Foulis), Systems Redesign (Mr Banas), and the Health Services Research & Development Center of Innovation on Disability and Rehabilitation Research (Dr Barnett), James A. Haley Veterans' Hospital, Tampa, Florida.

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Summary

Standardizing cancer protocol formats improves data extraction. Columned layouts enhance aesthetic appeal, accuracy, and efficiency for healthcare providers, reducing errors.

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Area of Science:

  • Pathology
  • Medical Informatics
  • Human Factors Engineering

Background:

  • College of American Pathologists (CAP) cancer protocols lack standardized formats, leading to inconsistent presentation and potential interpretation errors.
  • Varied designs among pathologists hinder effective data delivery to healthcare providers.

Purpose of the Study:

  • To define an effective synopsis format for essential pathologic information.
  • To evaluate aesthetic appeal and the impact of format variations on data extraction speed and accuracy.

Main Methods:

  • Healthcare professionals were surveyed using different formats of the CAP fallopian tube protocol.
  • Aesthetic appeal, accuracy, efficiency, and readability were assessed using descriptive statistics and readability tests.

Main Results:

  • Columned formats were preferred aesthetically and correlated with higher accuracy and efficiency compared to justified formats.
  • Uniform wording and shorter sentences improved participant performance.
  • Inaccurate assumptions were made regarding information not present in the protocol.

Conclusions:

  • Standardized protocol formats using headers, short phrases, and uniform terminology are proposed for cancer resections.
  • This template can be adapted for other sites to improve standardization, user accuracy, and efficiency.
  • Consideration of human factors engineering principles is recommended for patient data display.