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February 16, 2021 Defining Best Practices for Interhospital Transfers

Interhospital transfers (IHT) are important yet recognized as high-risk transitions in care. This study was funded by CRICO to help define the best practice principles for IHTs and identify improvement opportunities.

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February 12, 2021 The MPL Association Appoints Mark Reynolds, CRICO President and CEO, A Board Officers

CRICO President and CEO Mark E. Reynolds has been named as a board member of the Medical Practice Liability Association.

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November 16, 2020 Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals

This study, funded by CRICO grants, utilized a deep learning algorithm to identify instances of allergic reactions in the free-text electronic narratives of hospital safety reports.

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Robotic Assistance in Coordination of Patient Care

  • June 20, 2016

This study to investigate trust in and dependence upon robotic decision support among nurses and doctors on a labor and delivery floor, was supported with grants from CRICO, the National Science Foundation Graduate Research Fellowship Program, and Aldebaran Robotics Inc. 


The experiment, conducted with nurses and physicians, evaluated the subjects’ levels of trust in and dependence on high- and low-quality recommendations issued by robotic versus computer-based decision support, generated through action-driven learning from expert demonstration. The high-quality recommendations produced, were accepted by nurses and physicians at a compliance rate of 90%. The study's overall results support the notion that a robotic assistant may be able to safely and effectively assist in patient care. 

 

Conference Proceedings Report Citation

Gombolay M, Yang XJ, Hayes B,  Seo N,  Liu Z, Wadhwania S ,  Yu T,  Shah N,  Golen T, and  Shah J. Robotic Assistance in Coordination of Patient Care. In: Proceedings of Robotics: Science and Systems ({RSS}); June 20-22, 2016; Ann Arbor, MI.

 

Related CRICO Link

Robot helps nurses schedule tasks on labor floor