Related Experiment Video
Updated: Aug 15, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
An insurer's perspective on error and loss in pathology
1School of Public Health, Health and Medical Sciences, University of California, Berkeley, California, USA. dtroxel@thedoctors.com
Objectives:
To identify errors in surgical pathology practice that lead to malpractice claims, and to define the frequency and severity of pathology malpractice claims and discuss the implications.
Design:
Three hundred seventy-eight pathology malpractice claims reported to The Doctors Company of Napa, Calif, between 1998 and 2003, were reviewed. Nuisance claims and autopsy claims were excluded; the 335 remaining claims were analyzed.
Results:
Pathology claim frequency is low. Pathology claim severity is high, especially for claims involving a misdiagnosis of melanoma or a false-negative Papanicolaou test. Fifty-seven percent of claims involved the following 5 categories: breast specimens, melanoma, Papanicolaou smears, gynecologic specimens, and operational error. Sixty-three percent of claims involved failure to diagnose cancer, resulting in delay in diagnosis or inappropriate treatment.
Conclusion:
A false-negative diagnosis of melanoma is the single most common reason for filing a malpractice claim against a pathologist. Nearly one third of misdiagnoses involve melanoma misdiagnosed as Spitz nevus, "dysplastic" nevus, spindle cell squamous carcinoma, atypical fibroxanthoma, and dermatofibroma.
Insights
Pathology malpractice claims are rare but severe, with melanoma misdiagnosis being the most frequent cause. These errors often involve delayed cancer diagnosis, impacting patient treatment and outcomes.
Area of Science:
- Surgical Pathology
- Medical Malpractice Law
- Diagnostic Errors
Background:
- Surgical pathology plays a critical role in patient diagnosis and treatment.
- Malpractice claims can arise from errors in pathology practice, impacting patient care and healthcare systems.
Purpose of the Study:
- To identify common errors in surgical pathology leading to malpractice claims.
- To determine the frequency and severity of these claims.
- To discuss the implications of pathology malpractice claims.
Main Methods:
- Analysis of 335 pathology malpractice claims reported between 1998 and 2003.
- Exclusion of nuisance and autopsy-related claims.
- Categorization and frequency analysis of claim types and diagnostic errors.
Main Results:
- Pathology malpractice claims are infrequent but carry high severity.
- Melanoma misdiagnosis and false-negative Papanicolaou tests are particularly severe claim types.
- Top claim categories include breast specimens, melanoma, Papanicolaou smears, gynecologic specimens, and operational errors.
- Failure to diagnose cancer accounted for 63% of claims, leading to delayed diagnosis or incorrect treatment.
Conclusions:
- False-negative melanoma diagnosis is the leading cause of malpractice claims against pathologists.
- Approximately one-third of misdiagnoses involve melanoma being incorrectly identified as other benign or atypical lesions.
- Addressing diagnostic errors in melanoma and Papanicolaou testing is crucial for reducing malpractice claims.
Related Concept Videos
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Errors occurring during blood pressure monitoring
Several factors...
Types of Errors: Detection and Minimization
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Introduction to Language of Pathophysiology ll
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters assessment...