| Autor: |
Conboy HM; University of Massachusetts Amherst Amherst, MA, US., Kennedy-Metz LR; Medical Robotics and Computer Assisted Surgery Lab, Harvard Medical School; Division of Cardiac Surgery, VA Boston Healthcare System Boston, MA, US., Avrunin GS; University of Massachusetts Amherst Amherst, MA, US., Clarke LA; University of Massachusetts Amherst Amherst, MA, US., Osterweil LJ; University of Massachusetts Amherst Amherst, MA, US., Dias RD; Human Factors and Cognitive Engineering Lab, STRATUS Center for Medical Simulation Brigham and Women's Hospital Boston, MA, US., Zenati MA; Medical Robotics and Computer Assisted Surgery Lab, Harvard Medical School; Division of Cardiac Surgery, VA Boston Healthcare System Boston, MA, US. |
| Abstrakt: |
Surgical processes are rapidly being adapted to address the COVID-19 pandemic, with changes in procedures and responsibilities being made to protect both patients and medical teams. These process changes put new cognitive demands on the medical team and increase the likelihood of miscommunication, lapses in judgment, and medical errors. We describe two process model driven cognitive aids, referred to as the Narrative View and the Smart Checklist View, generated automatically from models of the processes. The immediate perceived utility of these cognitive aids is to support medical simulations, particularly when frequent adaptations are needed to quickly respond to changing operating room guidelines. |
