Hodroj Khalil, Pellegrin David, Menard Cindy, Bachelot Thomas, Durand Thierry, Toussaint Philippe, Dufresne Armelle, Mery Benoite, Tredan Olivier, Goulvent Thibaut, Heudel Pierre
Centre Leon Berard, Lyon, France.
Roche Healthcare Development Division - Roche Diagnostics France, Meylan, Meylan, France.
JMIR Cancer. 2023 May 18;9:e39072. doi: 10.2196/39072.
Cancer treatment is constantly evolving toward a more personalized approach based on clinical features, imaging, and genomic pathology information. To ensure the best care for patients, multidisciplinary teams (MDTs) meet regularly to review cases. Notwithstanding, the conduction of MDT meetings is challenged by medical time restrictions, the unavailability of critical MDT members, and the additional administrative work required. These issues may result in members missing information during MDT meetings and postponed treatment. To explore and facilitate improved approaches for MDT meetings in France, using advanced breast cancers (ABCs) as a model, Centre Léon Bérard (CLB) and ROCHE Diagnostics cocreated an MDT application prototype based on structured data.
In this paper, we want to describe how an application prototype was implemented for ABC MDT meetings at CLB to support clinical decisions.
Prior to the initiation of cocreation activities, an organizational audit of ABC MDT meetings identified the following four key phases for the MDT: the instigation, preparation, execution, and follow-up phases. For each phase, challenges and opportunities were identified that informed the new cocreation activities. The MDT application prototype became software that integrated structured data from medical files for the visualization of the neoplastic history of a patient. The digital solution was assessed via a before-and-after audit and a survey questionnaire that was administered to health care professionals involved in the MDT.
The ABC MDT meeting audit was carried out during 3 MDT meetings, including 70 discussions of clinical cases before and 58 such discussions after the implementation of the MDT application prototype. We identified 33 pain points related to the preparation, execution, and follow-up phases. No issues were identified related to the instigation phase. Difficulties were grouped as follows: process challenges (n=18), technological limitations (n=9), and the lack of available resources (n=6). The preparation of MDT meetings was the phase in which the most issues (n=16) were seen. A repeat audit, which was undertaken after the implementation of the MDT application, demonstrated that (1) the discussion times per case remained comparable (2 min and 22 s vs 2 min and 14 s), (2) the capture of MDT decisions improved (all cases included a therapeutic proposal), (3) there was no postponement of treatment decisions, and (4) the mean confidence of medical oncologists in decision-making increased.
The introduction of the MDT application prototype at CLB to support the ABC MDT seemed to improve the quality of and confidence in clinical decisions. The integration of an MDT application with the local electronic medical record and the utilization of structured data conforming to international terminologies could enable a national network of MDTs to support sustained improvements to patient care.
癌症治疗正不断朝着基于临床特征、影像学和基因组病理学信息的更个性化方法发展。为确保为患者提供最佳护理,多学科团队(MDT)定期开会以审查病例。尽管如此,MDT会议的开展受到医疗时间限制、关键MDT成员无法到场以及所需额外行政工作的挑战。这些问题可能导致成员在MDT会议期间错过信息以及治疗延迟。为探索并促进法国MDT会议的改进方法,以晚期乳腺癌(ABC)为模型,里昂贝拉尔中心(CLB)和罗氏诊断公司共同创建了一个基于结构化数据的MDT应用程序原型。
在本文中,我们想描述CLB如何为ABC的MDT会议实施一个应用程序原型以支持临床决策。
在共同创建活动开始之前,对ABC的MDT会议进行了组织审计,确定了MDT的以下四个关键阶段:发起、准备、执行和跟进阶段。对于每个阶段,确定了挑战和机遇,为新的共同创建活动提供了依据。MDT应用程序原型变成了一个软件,该软件整合了来自医疗档案的结构化数据,用于可视化患者的肿瘤病史。通过前后审计以及向参与MDT的医疗保健专业人员发放调查问卷来评估该数字解决方案。
在3次MDT会议期间进行了ABC的MDT会议审计,包括MDT应用程序原型实施前对70个临床病例的讨论和实施后对58个此类病例的讨论。我们确定了与准备、执行和跟进阶段相关的33个痛点。未发现与发起阶段相关的问题。困难分为以下几类:流程挑战(n = 18)、技术限制(n = 9)和可用资源不足(n = 6)。MDT会议的准备阶段是出现问题最多(n = 16)的阶段。在应用程序实施后进行的重复审计表明:(1)每个病例的讨论时间保持相当(2分22秒对2分14秒);(2)MDT决策的记录有所改善(所有病例都包括治疗建议);(3)治疗决策没有延迟;(4)肿瘤内科医生决策的平均信心有所提高。
在CLB引入MDT应用程序原型以支持ABC的MDT似乎提高了临床决策的质量和信心。将MDT应用程序与本地电子病历集成,并利用符合国际术语的结构化数据,可能会形成一个全国性的MDT网络,以支持持续改善患者护理。