IBD Center, Department of Gastroenterology, Humanitas Clinical and Research Institute , Milan, Italy.
Department of Biomedical Sciences, Humanitas University , Milan, Italy.
Expert Rev Gastroenterol Hepatol. 2020 Sep;14(9):819-828. doi: 10.1080/17474124.2020.1780913. Epub 2020 Jun 22.
Endoscopy plays a key role in the management of inflammatory bowel disease (IBD). There is an increased need for quality assurance programs that evaluate the quality, safety and patient experiences of endoscopy, by assessing procedural and clinical outcomes.
This review aims to summarize the most important quality indicators of endoscopy in IBD patients and could serve as the basis to improve quality endoscopic procedures and patients' perception of endoscopy in the future. However, further studies and consensus reports are necessary to standardize the quality of care in the endoscopy unit of all IBD centers.
Developing an understanding of the patient-reported perception is important for both clinicians and patients, as it facilitates patient engagement with their care. Moreover, implementing education in reporting is crucial f and the use of verifiable databases, generated from electronic reporting systems, should be encouraged rather than unverified self-reporting, to have greater validity for documenting and to formally evaluate endoscopic practice data with audits. The use of artificial intelligence may improve the quality of endoscopy, by increasing the adenoma detection rate and helping endoscopists in the challenging differentiation between inflammatory and neoplastic lesions.
内镜检查在炎症性肠病（IBD）的治疗中起着关键作用。现在需要更多的质量保证方案，通过评估程序和临床结果，评估内镜的质量、安全性和患者体验，从而对内镜进行评估。
本综述旨在总结 IBD 患者内镜检查的最重要质量指标，这可能成为未来提高内镜检查程序质量和患者对内镜检查认知的基础。然而，为了规范所有 IBD 中心内镜检查单位的护理质量，还需要进一步的研究和共识报告。
了解患者报告的感知对临床医生和患者都很重要，因为这有助于患者参与自己的护理。此外，报告中实施教育至关重要，并且应该鼓励使用可验证的数据库，这些数据库来自电子报告系统，而不是未经证实的自我报告，以提高记录的有效性，并通过审核正式评估内镜实践数据。人工智能的使用可以通过提高腺瘤检出率和帮助内镜医生在炎症性和肿瘤性病变之间进行具有挑战性的区分，从而提高内镜质量。
