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M Sue Zaleski

Publications and source records attributed to M Sue Zaleski.

2 recordsLinked to original sources

Variability in cytologic-histologic correlation practices and implications for patient safety.

CONTEXT: The Clinical Laboratory Improvement Amendments of 1988 require that laboratories perform cytologic-histologic correlation, although the optimal methods and the value of performing correlation have not been determined. OBJECTIVE: To determine the similarities and differences in how laboratories perform cytologic-histologic correlation. DESIGN: One hundred sixty-two American laboratories were sent a letter requesting copies of the materials they used in the cytologic-histologic correlation process. The returned materials were classified into the categories of forms, logs, and tally sheets. A checklist (derived from the College of American Pathologists Laboratory Accreditation Cytopathology Checklist) was developed to classify the "minimum expected" (15) and "additional" data points that laboratories collected when they performed a correlation. PARTICIPANTS: American pathology laboratories. MAIN OUTCOME MEASURES: Measures were percentage of laboratories that recorded minimum expected and additional data points and the frequency with which specific minimum expected data points were recorded. RESULTS: The response frequency was 32.1%, and a total of 84 cytologic-histologic correlation materials were obtained. The only minimum expected variables recorded on forms or logs by more than 50% of laboratories were cytology case number, sign-out cytology diagnosis, surgical pathology case number, and sign-out surgical pathology diagnosis. Nine (17.3%) laboratories did not record data on forms, logs, or tally sheets. The mean number of minimum expected and additional variables recorded on forms was 6.5 and 8.7, respectively. CONCLUSIONS: Laboratories record data from the cytologic-histologic correlation process in a number of ways, indicating the lack of standardization of the data collection process.

Accreditation↗

Improving Pap test turnaround time using external benchmark data and engineering process improvement tools.

Turnaround time for Papanicolaou (Pap) tests became an important service quality issue at our institution. We studied Pap test turnaround time using engineering process improvement tools and benchmarked turnaround time against data published as a College of American Pathologists Q-Probes study. An IDEF3 process map revealed the complexity of the Pap test process and the opportunities for process improvement. We used these data and the action-research method to initiate changes in cytopathology laboratory operations with the goal of reducing turnaround time. Before intervention, mean Pap test turnaround time was highly variable; during a 6-month period, monthly means ranged from 2.5 to 10.8 days. A cycle time study conducted over a 2-week period validated these data. After system improvements were implemented, the monthly mean turnaround time decreased and became more consistent, with 11 of 12 months having a mean turnaround time of 3 days or less (range, 1.5-3.9 days). Our study illustrates the value of publishing Q-Probes data for use as external benchmarks and the benefits of using tools from other disciplines to improve laboratory processes.

Benchmarking↗