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[根据样本复杂程度分析医学检验时间中的工作量,并提出解剖病理科工作量公平分配算法建议]

[Analysis of the workload in medical time according to the degree of complexity of the samples and proposal of an algorithm for the equitable distribution of the workload in an anatomic pathology department].

作者信息

Quera Angels, Torres-Padrosa Víctor, Nieto Ortiz Adrián

机构信息

Servicio de Anatomía Patológica, Hospital de Figueres, Fundació Salut Empordà, Figueres, Girona, España.

Unidad de Innovación, Hospital de Figueres, Fundació Salut Empordà, Figueres, Girona, España.

出版信息

Rev Esp Patol. 2024 Apr-Jun;57(2):77-83. doi: 10.1016/j.patol.2023.12.001. Epub 2024 Feb 7.

DOI:10.1016/j.patol.2023.12.001
PMID:38599740
Abstract

INTRODUCTION

In a pathological anatomy service, the workload in medical time is analyzed based on the complexity of the samples received and its distribution among pathologists is assessed, presenting a new computer algorithm that favors an equitable distribution.

METHODS

Following the second edition of the Spanish guidelines for the estimation of workload in cytopathology and histopathology (medical time) according to the Spanish Pathology Society-International Academy of Pathology (SEAP-IAP) catalog of samples and procedures, we determined the workload units (UCL) per pathologist and the overall UCL of the service, the average workload of the service (MU factor), the time dedicated by each pathologist to healthcare activity and the optimal number of pathologists according to the workload of the service.

RESULTS

We determined 12 197 total annual UCL for the chief pathologist, as well as 14 702 and 13 842 UCL for associate pathologists, with an overall of 40 742 UCL for the whole service. The calculated MU factor is 4.97. The chief pathologist devoted 72.25% of his working day to healthcare activity while associate pathologists dedicated 87.09% and 82.01% of their working hours. The optimal number of pathologists for the service is found to be 3.55.

CONCLUSIONS

The results demonstrate medical work overload and a non-equitable distribution of UCLs among pathologists. We propose a computer algorithm capable of distributing the workload in an equitable manner. It would be associated with the laboratory information system and take into account the type of specimen, its complexity and the dedication of each pathologist to healthcare activity.

摘要

引言

在病理解剖服务中,基于所接收样本的复杂性分析医疗时间的工作量,并评估其在病理学家之间的分配情况,提出一种有利于公平分配的新计算机算法。

方法

根据西班牙病理学会 - 国际病理科学院(SEAP - IAP)样本和程序目录,遵循西班牙细胞病理学和组织病理学工作量估算指南(医疗时间)第二版,我们确定了每位病理学家的工作量单位(UCL)以及该服务的总体UCL、该服务的平均工作量(MU因子)、每位病理学家用于医疗保健活动的时间以及根据该服务工作量确定的最佳病理学家人数。

结果

我们确定首席病理学家每年的UCL总数为12197,助理病理学家分别为14702和13842,整个服务的总体UCL为40742。计算得出的MU因子为4.97。首席病理学家将其工作日的72.25%用于医疗保健活动,而助理病理学家分别将其工作时间的87.09%和82.01%用于此。该服务的最佳病理学家人数为3.55。

结论

结果表明存在医疗工作过载以及UCL在病理学家之间分配不均的情况。我们提出一种能够公平分配工作量的计算机算法。它将与实验室信息系统相关联,并考虑标本类型、其复杂性以及每位病理学家对医疗保健活动的投入。

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