Surgical Simulator for Improving Skill Proficiency and Resilience
用于提高技能熟练程度和恢复能力的手术模拟器
基本信息
- 批准号:10276881
- 负责人:
- 金额:$ 47.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:Academic Medical CentersAdoptedAdverse eventAlgorithmsAnatomyBuffaloesChildCholecystectomyClinical ResearchCollaborationsCommunitiesComputer softwareCustomDevelopmentEngineeringEnsureEquipmentEquipment MalfunctionEvaluationEventFaceFeedbackFunding OpportunitiesGoalsHemorrhageHospitalsInjuryInstitutesIntelligenceLaparoscopic CholecystectomyLaparoscopic Surgical ProceduresLearningLearning SkillMaintenanceMedicalMedical StudentsMedical centerMethodologyMethodsMinorModelingNew YorkOperative Surgical ProceduresOutcome AssessmentPatient CarePatientsPerformancePhysicsPhysiologic pulsePhysiologicalPhysiologyProceduresPuncture procedureRegimenResearch InstituteScienceSurgeonSurgical ErrorTechniquesTechnologyTestingTimeTrainingTraining ProgramsTraining SupportTraining and EducationUniversitiesValidationVariantWorkbasebile ductcare outcomescare providersclinical applicationcontinuing medical educationdesignexperienceheat injuryimprovedinnovationmedical schoolsminimally invasiveopen sourceopen source toolorthognathicpatient safetyphysiologic modelprototyperesilienceresponsesafety outcomessimulationskill acquisitionskillssoftware developmenttechnology developmenttoolvirtualvirtual reality simulatorvirtual surgery
项目摘要
Abstract
Minimally invasive techniques that are constantly evolving have increased the skill
requirements for successful and safe surgical procedures. There has been an extensive effort in
the last two decades to develop medical simulators for training surgeons. However, much of the
work has focused on medical students and surgical residents who are currently in formal
training programs. There is a recognized need to ensure practicing surgeons maintain their level
of skills through continuous evaluation while simultaneously learning newer procedures or
equipment that get adopted into the OR. The objective of this proposal is to develop, evaluate
and validate simulation technologies to train, retrain and advance the performance and
resiliency of practicing surgeons. We plan to develop open source software templates for rapid
creation of high-fidelity simulations that include rare and adverse surgical events to enable
practicing surgeons maintain and enhance their surgical skill.
In this project, we propose extending Interactive Medical Simulation Toolkit (iMSTK)-an
open source medical simulation platform, that has been used to prototype virtual trainers for
laparoscopic surgery, orthognathic surgery and other clinical applications. We will develop
software templates for rare and adverse event simulation, including hemorrhage (due to vessel
puncture and unintentional cutting), thermal injury, anatomical variation, and physiological
modeling. In most cases, physiological models are developed separately without coordination
with interactive surgical simulation limiting their capability. In this project, we will integrate
Kitware’s open source Pulse Physiological Engine with iMSTK to build a closed-loop physiology
model that handles local physiological changes and global, systemic physiological responses.
This project is a collaboration between Kitware Inc. and the University at Buffalo School
of Medicine and Biomedical Sciences (UB) with an End-User Advisory Group (EAG) from
Children National Medical Center (CNMC) and Baylor University Medical Center (BUMC). The
institutes have a long record of collaboration in simulation technology development projects. We
will demonstrate the new software templates by building a virtual surgical simulator for
cholecystectomy with bile-duct injury and other complications that can occur in this type of
surgery. The End-User Advisory Group will meet with the technical team on regular basis to
provide feedback on the technical development. We will conduct face, content, and construct
validity test and learning assessment to validate the simulator.
摘要
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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Rachel Clipp其他文献
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{{ truncateString('Rachel Clipp', 18)}}的其他基金
A Computationally Efficient Approach to Predict Population Risk with Machine Learning
通过机器学习预测人口风险的高效计算方法
- 批准号:
10379613 - 财政年份:2022
- 资助金额:
$ 47.95万 - 项目类别:
Surgical Simulator for Improving Skill Proficiency and Resilience
用于提高技能熟练程度和恢复能力的手术模拟器
- 批准号:
10668406 - 财政年份:2021
- 资助金额:
$ 47.95万 - 项目类别:
Surgical Simulator for Improving Skill Proficiency and Resilience
用于提高技能熟练程度和恢复能力的手术模拟器
- 批准号:
10468965 - 财政年份:2021
- 资助金额:
$ 47.95万 - 项目类别:
Optimizing the Pulse Physiology Engine to Meet Medical Simulation Community Needs
优化脉冲生理学引擎以满足医学模拟社区的需求
- 批准号:
10609281 - 财政年份:2021
- 资助金额:
$ 47.95万 - 项目类别:
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