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Prospective peer review in surgical pathology.

Quality assurance (QA) in surgical pathology has focused primarily on retrospective audits of randomly selected cases. The authors describe an effective method of prospective audit for a selected class of surgical specimens--diagnostic biopsies--and document the benefits, additional staff time required and impact on turnaround time. Additionally, these results were compared with a retrospective review. During a 6-month period, all diagnostic surgical pathology biopsies (n = 2,694, 55% of all cases) were reviewed by a second pathologist before release of the final report. Errors detected were subdivided into four categories: (1) major: errors in diagnosis that could directly affect patient care; (2) diagnostic discrepancies: errors in diagnosis that should not affect patient care; (3) minor: correct diagnosis rendered, but report correction required to add supportive information; (4) clerical: typographical and grammatical errors. Thirty-two major errors were found, involving 1.2% of cases reviewed. This manner of review caused an increase in overall turnaround time from 1.62 days to 1.79 days, and an increase in turnaround time for diagnostic biopsies from 1.44 days to 1.50 days. Time spent in performing prospective peer review averaged 4 hours per day. For comparison, results were included from a retrospective review performed on 480 of the 5,556 cases accessioned in a 6-month period before the institution of prospective quality assurance. This retrospective review revealed eight major errors (1.7%). In conclusion, the prospective peer review of diagnostic biopsies yields sufficient benefits in increased accuracy of diagnostic reports to justify the slight increase in additional work by pathologists.

Biopsy↗

Error in surgical pathology.

A total of 272 surgical pathology claims reported to The Doctors Company from 1998 through 2003 were reviewed. They were analyzed and repetitive patterns involving both specimen type and category of diagnostic error were identified. These patterns were then compared with those uncovered in a prior review of 218 surgical pathology claims reported from 1995 through 1997 to identify trends and see if new patterns of diagnostic error had emerged.

Diagnostic Errors↗

Comparing methods to measure error in gynecologic cytology and surgical pathology.

CONTEXT: Both gynecologic cytology and surgical pathology use similar methods to measure diagnostic error, but differences exist between how these methods have been applied in the 2 fields. OBJECTIVE: To compare the application of methods of error detection in gynecologic cytology and surgical pathology. DATA SOURCES: Review of the literature. CONCLUSIONS: There are several different approaches to measuring error, all of which have limitations. Measuring error using reproducibility as the gold standard is a common method to determine error. While error rates in gynecologic cytology are well characterized and methods for objectively assessing error in the legal setting have been developed, meaningful methods to measure error rates in clinical practice are not commonly used and little is known about the error rates in this setting. In contrast, in surgical pathology the error rates are not as well characterized and methods for assessing error in the legal setting are not as well defined, but methods to measure error in actual clinical practice have been characterized and preliminary data from these methods are now available concerning the error rates in this setting.

Diagnostic Errors↗

Interinstitutional assessment of colorectal carcinoma surgical pathology report adequacy. A College of American Pathologists Q-Probes study of practice patterns from 532 laboratories and 15,940 reports.

In 1991, the College of American Pathologist's Q-Probes Quality Improvement Program evaluated practices in 532 institutions for pathologic information provided in surgical pathology reports of 15,940 resected primary colorectal carcinomas. Participating institutions studied their last 30 completed cases and were from the United States (98%), Canada (1.5%), and Australia (0.4%). The influence of various institutional differences and other practice patterns were analyzed to determine factors associated with an increased institutional likelihood of providing information on pathology reports. The one practice significantly associated with increased likelihood of providing complete oncologic pathology information on eight of 11 gross and microscopic information items surveyed was the use of a standard report form or checklist. Other institutional differences bearing inconsistent associations included teaching institution status, presence of pathology residency, use of microscopic descriptions, institution bedsize category, and performance of DNA ploidy analysis. The development and adoption of a standardized report form or checklist for each case is a simple but effective means to assure report adequacy and consistent communication of oncologic pathology information. In conjunction with accompanying criteria for its accurate use, this process can be considered a practice guideline or practice parameter that can be extended to the surgical pathology examination of all resected malignant neoplasms.

Colorectal Neoplasms↗

Automated Extraction of Tumor Staging and Diagnosis Information From Surgical Pathology Reports.

PURPOSE: Typically stored as unstructured notes, surgical pathology reports contain data elements valuable to cancer research that require labor-intensive manual extraction. Although studies have described natural language processing (NLP) of surgical pathology reports to automate information extraction, efforts have focused on specific cancer subtypes rather than across multiple oncologic domains. To address this gap, we developed and evaluated an NLP method to extract tumor staging and diagnosis information across multiple cancer subtypes. METHODS: The NLP pipeline was implemented on an open-source framework called Leo. We used a total of 555,681 surgical pathology reports of 329,076 patients to develop the pipeline and evaluated our approach on subsets of reports from patients with breast, prostate, colorectal, and randomly selected cancer subtypes. RESULTS: Averaged across all four cancer subtypes, the NLP pipeline achieved an accuracy of 1.00 for International Classification of Diseases, Tenth Revision codes, 0.89 for T staging, 0.90 for N staging, and 0.97 for M staging. It achieved an F1 score of 1.00 for International Classification of Diseases, Tenth Revision codes, 0.88 for T staging, 0.90 for N staging, and 0.24 for M staging. CONCLUSION: The NLP pipeline was developed to extract tumor staging and diagnosis information across multiple cancer subtypes to support the research enterprise in our institution. Although it was not possible to demonstrate generalizability of our NLP pipeline to other institutions, other institutions may find value in adopting a similar NLP approach-and reusing code available at GitHub-to support the oncology research enterprise with elements extracted from surgical pathology reports.

Humans↗

Use of physician extenders in surgical pathology practice.

CONTEXT: Use of a variety of nonphysician personnel for surgical pathology gross examination is generally known to be increasing, although detailed information regarding nonphysician use is currently unavailable. OBJECTIVE: To measure and describe the use of nonphysician personnel for surgical pathology gross examination in order to gain a better understanding of the current surgical pathology workforce. DESIGN: A voluntary, mailed questionnaire containing items related to the use of multiple nonphysician personnel types in surgical pathology was distributed to (1) a cross-sectional sample (n = 968) of US pathologists and (2) a purposive sample of pathologist directors of surgical and/or anatomic pathology (n = 77) located at teaching institutions. Responses were analyzed using descriptive statistics, correlation analyses, the chi2 test, and 1-way analysis of variance. Staffing ratios were calculated for multiple nonphysician personnel types. RESULTS: The overall response rate was 22% (n = 225). Of the US sample, 56% of respondents reported using nonphysician laboratory personnel to perform gross examinations, compared with 91% of the directors' sample. The most frequently reported personnel type for both samples was pathologists' assistants, but multiple other personnel types were used as well. Significant associations existed between certain practice types and personnel types used, as well as differences in the scope of responsibilities between personnel types. Calculated staffing ratios were variable across personnel types and were highest for pathologists' assistants. CONCLUSIONS: The use of a variety of nonphysician laboratory personnel for surgical pathology gross examination is common, particularly in academic pathology practice. Further studies are needed to examine the impact of physician extenders on laboratory efficiency and quality of care.

Pathology, Surgical↗

Pediatric surgical pathology: pitfalls and strategies for error prevention.

CONTEXT: Few data exist regarding quality measures for pediatric surgical pathology, types of errors, or how error-prone situations and diagnostic pitfalls can be minimized. OBJECTIVE: This review reports on survey findings regarding methodology for quality assurance and error detection measurement and classification in pediatric surgical pathology. It presents information regarding, and quality aspects of, intraoperative consultations in pediatric surgical pathology. General strategies for identifying diagnostic pitfalls in pediatric surgical pathology are briefly discussed. DATA SOURCES: A survey of children's hospitals based on a survey created by the Association of Directors of Anatomic and Surgical Pathology, literature review, and institutional quality assurance records provided information for this review. CONCLUSIONS: Approaches to quality assurance and error reduction in pediatric surgical pathology are similar to those used in general surgical pathology. The children's hospitals that were surveyed used a variety of standard quality assurance measures. Because of differences in data collection, classification, and reporting, it is not possible to provide a detailed analysis of the types of diagnostic error across institutions at this time. Intraoperative consultations are a potential source of error. Pediatric neoplasms and Hirschsprung disease account for the majority of intraoperative consultations in the pediatric setting. Further considerations include the unique aspects of pediatric medical and neoplastic disorders and special diagnostic criteria, classification, grading, and staging requirements.

Adolescent↗