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通过流程改进和创新提高质量成果:1701例连续机器人肺叶切除术和肺段切除术的最大单外科医生系列病例。

Improving quality outcomes via process improvements and innovation: the largest single-surgeon series of 1,701 consecutive robotic lobectomy and segmentectomy cases.

作者信息

Cerfolio Robert J, Ostro Natalie A, McCormack Ashley J

机构信息

Department of Cardiothoracic Surgery, New York University Langone Health, New York, NY, United States.

出版信息

Front Surg. 2025 Apr 24;12:1589149. doi: 10.3389/fsurg.2025.1589149. eCollection 2025.

Abstract

OBJECTIVES

Our goal is to continuously improve patient outcomes, care quality, and overall experience.

METHODS

This is a quality improvement study based on the experience of a single surgeon and represents the world's largest reported consecutive series of robotic lobectomy and segmentectomy performed by a single surgeon.

RESULTS

From 1 January 2009 to 31 December 2024, a total of 1,701 patients (52% women) were treated, of whom 1,138 underwent robotic lobectomy (1,094, 96.1% were completed robotically) and 563 patients underwent segmentectomy (561, 99.6% were completed robotically). Quality metrics improved over each quartile: conversion rates decreased from 13 patients in our first 62 operations to 1 in our last 600 patients ( < 0.001), 90-day mortality decreased from 0.3% to 0% ( < 0.001), and major morbidity decreased from 6% to 1% ( < 0.001). Among patients with cancer, 99% underwent an R0 resection, with a median of five N2 and two N1 lymph node stations resected, 24 lymph nodes removed, and blood loss of 20 cc. Efficiency metrics improved with medians as follows: length of stay decreased from 110  to 26 h ( < 0.001), operative times fell from 125 to 93 min ( < 0.001), chest tube duration decreased from 72  to 4 h, and patient satisfaction scores improved from 87% to 98%. Various selective process improvements and strategies that we implemented and, in our opinion, improved both patient outcomes and experience are shared to scale this experience to others.

CONCLUSIONS

A commitment to getting better via innovation and process improvements of all aspects of the pre-, intra-, and postoperative care and their pathways leads to improved outcomes and patient experience for robotic pulmonary resection. The selective processes and strategies that we believe led to these improving outcomes are shared and are possibly scalable elsewhere.

摘要

目的

我们的目标是持续改善患者预后、护理质量和整体体验。

方法

这是一项基于单一外科医生经验的质量改进研究,代表了世界上报道的由单一外科医生进行的最大规模连续机器人肺叶切除术和肺段切除术系列。

结果

从2009年1月1日至2024年12月31日,共治疗1701例患者(52%为女性),其中1138例行机器人肺叶切除术(1094例,96.1%通过机器人完成),563例行肺段切除术(561例,99.6%通过机器人完成)。质量指标在每个四分位数上均有所改善:中转率从最初62例手术中的13例降至最后600例患者中的1例(<0.001),90天死亡率从0.3%降至0%(<0.001),严重并发症发生率从6%降至1%(<0.001)。在癌症患者中,99%接受了R0切除,中位切除5个N2和2个N1淋巴结站,切除24个淋巴结,失血20 cc。效率指标改善如下:住院时间从110小时降至26小时(<0.001),手术时间从125分钟降至93分钟(<0.001),胸管留置时间从72小时降至4小时,患者满意度评分从87%提高到98%。我们实施的各种选择性流程改进和策略,我们认为这些改进提高了患者预后和体验,并将这些经验分享给其他人以推广应用。

结论

通过对术前、术中和术后护理及其路径的各个方面进行创新和流程改进,致力于不断改善,可提高机器人肺切除术的预后和患者体验。我们认为导致这些改善结果的选择性流程和策略已被分享,并且可能在其他地方推广应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/832a/12058782/439a41b22c67/fsurg-12-1589149-g001.jpg

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