A ROBOT-ASSISTED PERFUSION SYSTEM TO IMPROVE PATIENT SAFETY IN THE CARDIAC OPERATING ROOM

机器人辅助灌注系统可提高心脏手术室患者的安全

基本信息

批准号：
10442068
负责人：
Roger Daglius Dias
金额：
$ 76.49万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10442068
关键词：
Adopted Adult Adverse event Algorithms Anesthesia procedures Artificial Intelligence Awareness Belief Cardiac Cardiac Surgery procedures Cardiopulmonary Bypass Childhood Clinical Clinical Decision Support Systems Cognition Cognitive Communication Complex Computers Cues Custom Data Decision Making Decision Support Systems Deterioration Discipline of Nursing Electrocardiogram Electroencephalography Engineering Ensure Environment Expert Systems Fatigue Future Goals Gold Health Personnel Heterogeneity Hospitals Hour Human Impairment Incidence Interruption Intuition Knowledge Laboratories Lead Learning Libraries Literature Measures Medical Medical Errors Modeling Nurses Operating Rooms Operative Surgical Procedures Outcome Patient Care Patients Performance Perfusion Perioperative Nursing Phase Physiological Policies Probability Procedures Process Protocols documentation Provider Reporting Rewards Risk Robot Robotics Safety Serious Adverse Event Standardization Stress System Techniques Technology Time Training Trust Uncertainty Variant Ventilator Work Workload apprenticeship base biomarker performance clinical practice cognitive load computational intelligence design digital distraction experience human error human-in-the-loop improved interoperability knowledge base medical schools novel open source operation patient safety prevent robot assistance simulation skills standardized care usability virtual surgery visual tracking willingness

项目摘要

PROJECT SUMMARY / ABSTRACT The vast majority of pediatric and adult cardiac surgery procedures worldwide involve the use of cardiopulmonary bypass with a dedicated and highly customized perfusion system. Cardiac surgery procedures are complex and entail safety-critical activities, requiring continuous coordination between four subteams: perfusion, surgical, nursing and anesthesia. This environment demands outstanding technical and non-technical skills (e.g. teamwork, communication and situational awareness). Over the past few decades, technological advancements have improved the safety and efficiency of the perfusion system, however, despite substantial progress, recent studies continue to report a high incidence of preventable intraoperative adverse events among cardiac surgery patients. The perfusion system, in particular, relies heavily on the expertise and skills of the perfusionist, and there is currently no computational intelligent system to support perfusionists' optimal decision-making during the critical phase of cardiopulmonary bypass. In this proposal, we seek to develop a data-driven approach to learn from expert perfusionists how to achieve optimal outcomes for cardiac surgery patients. Rather than attempt to engineer a solution, we propose to develop a computer-based apprentice that can learn from high-quality demonstrations of perfusionist actions to infer gold-standard patient care. Our goal is to develop and evaluate a Robot-Assisted Perfusion System (RAPS) that can be integrated into the cardiac surgery workflow as a non-human teammate. The RAPS will support the perfusion team in a way that perfusionists still will keep control of the perfusion system (i.e. human- in-the-loop), but cognitively supported and guided by the RAPS.

项目摘要 /摘要全世界的绝大多数儿科和成人心脏手术程序都涉及使用具有专用且高度定制的灌注系统的心肺旁路。心脏手术程序是复杂的，需要安全至关重要的活动，需要四个子程度：灌注，手术，护理和麻醉。这个环境需要出色的技术和非技术技能（例如团队合作，沟通和情境意识）。在过去的几十年中，技术进步提高了然而，尽管取得了长足的进展，但最近的研究仍报告很高的发病率心脏手术患者中可预防的术中不良事件。尤其是灌注系统在很大程度上依赖灌注者的专业知识和技能，目前尚无计算智能在心肺旁路的关键阶段支持灌注者最佳决策的系统。在此提案中，我们试图开发一种以数据为基础的方法，向专家灌注者学习如何实现心脏手术患者的最佳结局。而不是试图设计解决方案，我们建议开发一个基于计算机的学徒，可以从灌注主义行为的高质量演示中学习到推断金标准的患者护理。我们的目标是开发和评估机器人辅助的灌注系统（RAP）可以作为非人类队友整合到心脏手术工作流程中。说唱会支持灌注团队以灌注者仍将控制灌注系统的方式（即人类）在循环中），但认知支持和指导着说唱。