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首页> 外文会议>Conference on advanced PACS-based imaging informatics and therapeutic applications >Automated breast imaging-reporting and data system (BI-RADS) category 3 follow-up application: Improving patient care and compliance
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Automated breast imaging-reporting and data system (BI-RADS) category 3 follow-up application: Improving patient care and compliance

机译：自动乳房成像报告和数据系统（BI-RADS）3类后续应用：改善患者护理和依从性

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With the current emphasis on healthcare reform and cost effectiveness, methods to increase healthcare efficiency while improving outcomes are paramount. With reference to breast cancer, delay in diagnosis can cause significant morbidity and mortality,as well as increased long term health care costs. Assessment with short interval mammographic follow-up of BI-RADS category 3 lesions has been shown to increase detection of a small number of breast cancers at an early stage.1 Because of the importance of timely follow-up for these patients, we propose a novel computer application that identifies patients due for short-term mammographic follow-up, thus reducing costly hours spent by personnel, reducing human error, and improving patient compliance. Our web-based application mines radiology reports and scheduling information to generate lists of patients due for short-term mammographic follow-up of BI-RADS category 3 results. The results can be placed in a worklist that can be used by a staff member to contact patients to schedule follow-up appointments. Additional analytic features of the application can identify referral characteristics that may serve as potential sources for improvement of patient follow-up. We believe that an automated system can be designed to improve patient care and compliance with follow-up of BI-RADS category 3 results.
机译：当前强调医疗改革和成本效益，提高医疗效率同时改善结果的方法至关重要。关于乳腺癌，诊断的延迟会导致明显的发病率和死亡率，以及长期医疗保健费用的增加。已经显示，对BI-RADS 3类病变进行短期乳房X线照片随访评估可以提高早期发现少量乳腺癌的风险。1由于对这些患者进行及时随访很重要，因此我们建议一种新颖的计算机应用程序，可识别需要进行短期乳房X光检查的患者，从而减少了人员花费的宝贵时间，减少了人为错误，并提高了患者依从性。我们基于Web的应用程序会挖掘放射学报告和调度信息，以生成BI-RADS 3类结果的短期X线摄影随访的患者清单。结果可以放置在工作清单中，工作人员可以使用该清单与患者联系以安排后续约会。该应用程序的其他分析功能可以标识推荐特征，这些特征可以用作改善患者随访的潜在来源。我们相信，可以设计一个自动化系统来改善患者的护理水平，并遵循BI-RADS 3类结果的后续措施。

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