Unveiling documentation deficiencies: a clinical audit of histopathology request forms at a tertiary care hospital

Muhammad Daoud Tariq1, Hafiz Muhammad Hamza2, Areeba Ahsan1

  • 1Department of Internal Medicine, Foundation University Medical College, Islamabad, Pakistan.

Insights

Accurate histopathology request forms are crucial for patient care. An audit at Fauji Foundation Hospital found documentation gaps, particularly in patient contact details and clinical notes, necessitating improved practices.

Area of Science:

  • Medical Diagnostics
  • Pathology
  • Healthcare Quality Improvement

Background:

  • Accurate histopathology request forms are vital for precise diagnosis and effective patient treatment.
  • Documentation gaps in these forms can impede diagnostic workflows and patient care.
  • This study addresses the need to evaluate and enhance the completeness of histopathology request forms.

Purpose of the Study:

  • To audit the completeness of histopathology request forms at Fauji Foundation Hospital.
  • To identify specific areas of documentation deficiency.
  • To provide a basis for targeted improvements in form completion.

Main Methods:

  • A retrospective review of 300 histopathology request forms submitted between January and June 2024.
  • Evaluation of forms for completeness regarding patient demographics, hospital admission, biopsy details, and clinical notes.
  • Data analysis using SPSS, followed by an educational intervention to address identified gaps.

Main Results:

  • High compliance was observed for patient profile details.
  • Significant deficiencies were noted in patient contact information (39.7% reporting) and clinical notes (27.3% incomplete).
  • Post-intervention, improvements were seen in documenting patient contact details and biopsy nature.

Conclusions:

  • Thorough and accurate histopathology request forms are essential for optimal patient care.
  • Addressing documentation gaps through improved practices and ongoing education is critical.
  • Enhancing form completeness directly supports diagnostic accuracy and patient management.
Abstract