| Autor: |
Dias RD; STRATUS Center for Medical Simulation, Brigham & Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Conboy HM; University of Massachusetts, Amherst, MA, USA., Gabany JM; Harvard Medical School, Boston, MA, USA.; Division of Cardiac Surgery, VA Healthcare System, Boston, MA, USA., Clarke LA; University of Massachusetts, Amherst, MA, USA., Osterweil LJ; University of Massachusetts, Amherst, MA, USA., Arney D; Harvard Medical School, Boston, MA, USA.; Massachusetts General Hospital, Boston, MA, USA., Goldman JM; Harvard Medical School, Boston, MA, USA.; Massachusetts General Hospital, Boston, MA, USA., Riccardi G; Department of Information Engineering and Computer Science University of Trento, Italy., Avrunin GS; Department of Information Engineering and Computer Science University of Trento, Italy., Yule SJ; STRATUS Center for Medical Simulation, Brigham & Women's Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA.; Department of Surgery, Brigham & Women's Hospital, Boston, MA, USA., Zenati MA; Harvard Medical School, Boston, MA, USA.; Division of Cardiac Surgery, VA Healthcare System, Boston, MA, USA. |
| Zdroj: |
OR 2.0 context-aware operating theaters, computer assisted robotic endoscopy, clinical image-based procedures, and skin image analysis : first international workshop, OR 2.0 2018, 5th international workshop, CARE 2018, 7th international.. [OR 2.0 Context Aware Oper Theaters Comput Assist Robot Endosc Clin Image Based Proced Skin Image Anal (2018)] 2018 Sep; Vol. 11041, pp. 62-68. Date of Electronic Publication: 2018 Oct 02. |
| Abstrakt: |
Procedural flow disruptions secondary to interruptions play a key role in error occurrence during complex medical procedures, mainly because they increase mental workload among team members, negatively impacting team performance and patient safety. Since certain types of interruptions are unavoidable, and consequently the need for multitasking is inherent to complex procedural care, this field can benefit from an intelligent system capable of identifying in which moment flow interference is appropriate without generating disruptions. In the present study we describe a novel approach for the identification of tasks imposing low cognitive load and tasks that demand high cognitive effort during real-life cardiac surgeries. We used heart rate variability analysis as an objective measure of cognitive load, capturing data in a real-time and unobtrusive manner from multiple team members (surgeon, anesthesiologist and perfusionist) simultaneously. Using audio-video recordings, behavioral coding and a hierarchical surgical process model, we integrated multiple data sources to create an interactive surgical dashboard, enabling the identification of specific steps, substeps and tasks that impose low cognitive load. An interruption management system can use these low demand situations to guide the surgical team in terms of the appropriateness of flow interruptions. The described approach also enables us to detect cognitive load fluctuations over time, under specific conditions (e.g. emergencies) or in situations that are prone to errors. An in-depth understanding of the relationship between cognitive overload states, task demands, and error occurrence will drive the development of cognitive supporting systems that recognize and mitigate errors efficiently and proactively during high complex procedures. |
