Virtual patient framework for the testing of mechanical ventilation airway pressure and flow settings protocol

Ang, Christopher Yew Shuen; Lee, Jay Wing Wai; Chiew, Yeong Shiong; Wang, Xin; Tan, Chee Pin; Cove, Matthew E.; Nor, Mohd Basri Mat; Zhou, Cong; Desaive, Thomas; Chase, J. Geoffrey

doi:10.1016/j.cmpb.2022.107146

Cited by 5 publications

(1 citation statement)

References 72 publications

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“…Digital twins offer particular promise in critical care, where large quantities of data are continuously available, and the risk to patient safety posed by medical interventions is often significant (7,8). The benefits of a digital twin patient model to inform clinical decisionmaking in critical illness have been previously proposed (9)(10)(11)(12). Digital twins could also be adapted for critical care education, allowing learners to simulate the effects of various interventions and explore their potential outcomes in a controlled, virtual environment without negative patient impacts (13,14).…”

Section: Introductionmentioning

confidence: 99%

Development and usability testing of a patient digital twin for critical care education: a mixed methods study

Rovati,

Gary,

Cubro

et al. 2024

Front. Med.

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BackgroundDigital twins are computerized patient replicas that allow clinical interventions testing in silico to minimize preventable patient harm. Our group has developed a novel application software utilizing a digital twin patient model based on electronic health record (EHR) variables to simulate clinical trajectories during the initial 6 h of critical illness. This study aimed to assess the usability, workload, and acceptance of the digital twin application as an educational tool in critical care.MethodsA mixed methods study was conducted during seven user testing sessions of the digital twin application with thirty-five first-year internal medicine residents. Qualitative data were collected using a think-aloud and semi-structured interview format, while quantitative measurements included the System Usability Scale (SUS), NASA Task Load Index (NASA-TLX), and a short survey.ResultsMedian SUS scores and NASA-TLX were 70 (IQR 62.5–82.5) and 29.2 (IQR 22.5–34.2), consistent with good software usability and low to moderate workload, respectively. Residents expressed interest in using the digital twin application for ICU rotations and identified five themes for software improvement: clinical fidelity, interface organization, learning experience, serious gaming, and implementation strategies.ConclusionA digital twin application based on EHR clinical variables showed good usability and high acceptance for critical care education.

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