Developing a simulation tool to quantify biomechanical load and quality of care in nursing

E-Textiles for Sports and Fitness Sensing: Current State, Challenges, and Future Opportunities

“…These predictions and the selection of optimal sensor positioning and processing may be augmented through the use of synthetic wearable technology data sets based on real or augmented laboratory motion capture data sets [ 73 , 84 , 85 , 86 , 87 , 88 ]. Alternatively, it may be possible to identify algorithms to recognize certain activities [ 64 , 65 , 66 , 67 ] and then scale tissue-specific load estimates from laboratory-based estimates using an intensity measure derived from a reduced number of sensors [ 89 ]. The use of e-textile solutions with greater comfort and reduced conscious athlete awareness may somewhat remove the constraint on the number and position of sensors.…”

Computer models in healthcare shed light on the roots of missed care in system design: Nurse workload

“…nurse–patient ratio) decisions in healthcare, there are few tools that provide objective quantitative data linking system configuration to nurse time demands at work. Our interdisciplinary team has developed an approach using computer‐based process (discrete event) simulations to create task‐by‐task simulations of the care delivery process to examine outcomes such as missed care under a variety of operational scenarios (Qureshi et al, 2019, 2020, 2021a, 2021b; Qureshi, Purdy, et al, 2022; Qureshi, Bookey‐Bassett, et al, 2022). In this commentary, we describe this approach very briefly and then share some of the specific results observed from several modelling studies.…”

“…While the description here is necessarily brief, further details are available in the published works (c.f. Qureshi et al, 2019, 2020, 2021a, 2021b; Qureshi, Purdy, et al, 2022; Qureshi, Bookey‐Bassett, et al, 2022). The method has been validated by comparing model runs to specific nurses' work assignments with good results and seems to track their movement patterns well (Qureshi et al, 2021a; Qureshi, Bookey‐Bassett, et al, 2022).…”