IMPROVE SAFETY, QUALITY AND EFFICIENCY IN RADIOTHERAPY WITH AUTOMATED HIT SYSTEM
利用自动化 HIT 系统提高放射治疗的安全性、质量和效率
基本信息
- 批准号:8931000
- 负责人:
- 金额:$ 24.45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-30 至 2019-09-29
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (provided by applicant): Cancer is the second leading cause of death in the United States. Radiation therapy (RT), together with surgery and chemotherapy, is one of the most important modalities for cancer treatments. Patient safety is a paramount issue with radiation therapy. The safety concerns in radiation therapy have been recognized by many different national and international organizations including IAEA (International Atomic Energy Agency), ICRP (International Commission on Radiological Protection), NRC (Nuclear Regulatory Commission), WHO (World Health Organization), ASTRO (American Society for Radiation Oncology) and AAPM (American Association of Physicists in Medicine) in the past few decades. RT error was ranked as the #1 health technology hazard by ECRI (Emergency Care Research Institute). The field of radiation therapy as a whole has been attempting to improve patient safety over the past decades through the adoption of rigorous clinical workflows following the lessons learned from the previous incidents and following the guidelines published by the aforementioned organizations. However, as technologies become increasingly reliant on digital communication and workflows, the manual-auditing based safety measures continue to exhibit their limitations and antiquatedness. In this project, we propose to develop an automated health information technology (HIT) system to improve patient safety, treatment quality and working efficiency for radiation therapy. This system will continuously monitor errors and traces of inconsistencies in the patient data and documents in the clinical patient treatment systems, to make users aware of any patient safety issues. It is expected that the treatment quality will be improved by automatic performance of the standard-of-care quality checks and minimization of human errors in the clinical workflow. It is also expected that the working efficiency will be significantly improved due to the automatic safety and quality checks which when performed manually often account for approximately 50% of human worker workload. Over the past three years, we have been building such a HIT system and have demonstrated the clinical safety and quality significance and potential efficiency gains in our preliminary results. In this new project we plan to fundamentally overhaul our current efforts by making the computer-based safety and quality checks more accurate, responsive, user-friendly, powerful and fully automated. We also plan to integrate human factors into the design features, which were identified from the preliminary data, thereby maximizing the impacts of the system on safety and quality.
描述(申请人提供):癌症是美国第二大死因。放射治疗(RT)与手术和化疗一起,是癌症治疗最重要的手段之一。患者的安全是放射治疗的首要问题。在过去的几十年里,放射治疗中的安全问题已经得到了许多不同的国家和国际组织的认可,包括国际原子能机构(IAEA)、国际放射防护委员会(ICRP)、核管理委员会(NRC)、世界卫生组织(WHO)、美国放射肿瘤学会(ASTRO)和美国医学物理学家协会(AAPM)。RT错误被ECRI(急诊护理研究所)列为头号健康技术危害。作为一个整体,放射治疗领域在过去几十年里一直试图通过遵循从以前的事件中吸取的教训并遵循上述组织发布的指导方针,采用严格的临床工作流程来提高患者的安全。然而,随着技术变得越来越依赖数字通信和工作流程,基于人工审计的安全措施继续显示出其局限性和过时。在这个项目中,我们建议开发一个自动化的健康信息技术(HIT)系统,以提高放射治疗患者的安全性、治疗质量和工作效率。该系统将持续监测临床患者治疗系统中患者数据和文档中的错误和不一致的痕迹,让用户了解任何患者安全问题。预计通过自动执行护理标准质量检查并将临床工作流程中的人为错误降至最低,治疗质量将得到改善。还预计,由于自动进行安全和质量检查,工作效率将大大提高,当人工进行检查时,这些检查通常约占工人工作量的50%。在过去的三年里,我们一直在建立这样的HIT系统,并在我们的初步结果中展示了临床安全和质量意义以及潜在的效率收益。在这个新项目中,我们计划从根本上彻底改变我们目前的工作,使基于计算机的安全和质量检查更加准确、反应迅速、用户友好、功能强大和完全自动化。我们还计划将人的因素融入从初步数据中确定的设计特点,从而最大限度地提高系统对安全和质量的影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Deshan Yang其他文献
Deshan Yang的其他文献
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{{ truncateString('Deshan Yang', 18)}}的其他基金
Develop a large-scale library of comprehensive deformable image registration (DIR) benchmark datasets and an integrated framework for quantifying accuracy of patient-specific DIR results
开发一个大型综合变形图像配准 (DIR) 基准数据集库和一个用于量化患者特定 DIR 结果准确性的集成框架
- 批准号:
10615950 - 财政年份:2021
- 资助金额:
$ 24.45万 - 项目类别:
An interactive deep-learning method to semi-automatically segment abdominal organs to support stereotactic MR guided online adaptive radiotherapy (SMART) for abdominal cancers
一种半自动分割腹部器官的交互式深度学习方法,以支持针对腹部癌症的立体定向 MR 引导在线自适应放疗 (SMART)
- 批准号:
10593506 - 财政年份:2019
- 资助金额:
$ 24.45万 - 项目类别:
An interactive deep-learning method to semi-automatically segment abdominal organs to support stereotactic MR guided online adaptive radiotherapy (SMART) for abdominal cancers
一种半自动分割腹部器官的交互式深度学习方法,以支持针对腹部癌症的立体定向 MR 引导在线自适应放疗 (SMART)
- 批准号:
10017990 - 财政年份:2019
- 资助金额:
$ 24.45万 - 项目类别:
An interactive deep-learning method to semi-automatically segment abdominal organs to support stereotactic MR guided online adaptive radiotherapy (SMART) for abdominal cancers
一种半自动分割腹部器官的交互式深度学习方法,以支持针对腹部癌症的立体定向 MR 引导在线自适应放疗 (SMART)
- 批准号:
9807610 - 财政年份:2019
- 资助金额:
$ 24.45万 - 项目类别:
IMPROVE SAFETY, QUALITY AND EFFICIENCY IN RADIOTHERAPY WITH AUTOMATED HIT SYSTEM
利用自动化 HIT 系统提高放射治疗的安全性、质量和效率
- 批准号:
8816429 - 财政年份:2014
- 资助金额:
$ 24.45万 - 项目类别:
IMPROVE SAFETY, QUALITY AND EFFICIENCY IN RADIOTHERAPY WITH AUTOMATED HIT SYSTEM
利用自动化 HIT 系统提高放射治疗的安全性、质量和效率
- 批准号:
9144343 - 财政年份:2014
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$ 24.45万 - 项目类别:
IMPROVE SAFETY, QUALITY AND EFFICIENCY IN RADIOTHERAPY WITH AUTOMATED HIT SYSTEM
利用自动化 HIT 系统提高放射治疗的安全性、质量和效率
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9354432 - 财政年份:2014
- 资助金额:
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