Objective: To use Lean methodologies and the Model for Improvement to rapidly redesign and pilot test a new pediatric emergency department (ED) front-end model that reduces time to a licensed independent provider to 30 minutes or less.
Methods: Lean improvement methodologies were applied during a 5-day multidisciplinary model of care redesign event. The new ED front-end model of care included: (1) placement of a registered nurse in the lobby; (2) direct patient rooming with elimination of traditional triage; 3) early documentation of home medications; 4) Team-based immediate assessment; 5) "early Initiation" providers to place orders when a team was not available. An observational, cohort controlled before-and-after study design was used. The new model was tested over 2 pilot periods and compared to a similar period of control days, defined as the "current state."
Results: The ED census and patient acuity were similar during both pilot periods. Eighteen patients were included in pilot 1, and 80 patients were included in the expanded second pilot. Patients seen within 30 minutes improved from a baseline of 33% to 93% in pilot 2. Time to a licensed independent provider, to a room, and to visual assessment by a nurse all decreased. The largest decrease was in median time to provider, from 43 minutes in the current state to 7 minutes during pilot 2.
Conclusions: Rapid process improvement methodology was used to design and test a front-end model that reduced patient waiting time. Our experience demonstrates the feasibility of employing Lean principles and the Model for Improvement in actual practice environments to rapidly improve care delivery processes in pediatric emergency departments.
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http://dx.doi.org/10.1097/PEC.0000000000000455 | DOI Listing |
In the field of image processing, optical neural networks offer advantages such as high speed, high throughput, and low energy consumption. However, most existing coherent optical neural networks (CONN) rely on coherent light sources to establish transmission models. The use of laser inputs and electro-optic modulation devices at the front end of these neural networks diminishes their computational capability and energy efficiency, thereby limiting their practical applications in object detection tasks.
View Article and Find Full Text PDFJMIR Form Res
January 2025
ICMR-National Institute for Research in Digital Health and Data Science, Ansari Nagar, New Delhi, 110029, India, 91 7840870009.
Background: Verbal autopsy (VA) has been a crucial tool in ascertaining population-level cause of death (COD) estimates, specifically in countries where medical certification of COD is relatively limited. The World Health Organization has released an updated instrument (Verbal Autopsy Instrument 2022) that supports electronic data collection methods along with analytical software for assigning COD. This questionnaire encompasses the primary signs and symptoms associated with prevalent diseases across all age groups.
View Article and Find Full Text PDFJ Phycol
January 2025
Department of Food & Bioproduct Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Delta-6 fatty acid desaturases, which play key roles in the biosynthesis of polyunsaturated fatty acids (PUFAs), are membrane-associated enzymes that present significant challenges for isolation and purification, complicating their structural characterization. Here we report the identification and structure-function analysis of a novel Δ6 fatty acid desaturase (PmD6) from the marine alga Prorocentrum micans with substrate preference to α-linolenic acid (18:3n-3). Structural modeling revealed a mushroom-like structure of PmD6 formed by four transmembrane α-helices as a stem and three cytoplasmic domains as a cap.
View Article and Find Full Text PDFSchizophr Res
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Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Learning Health Systems (LHSs) strive to continuously integrate innovations and evidence-based practices in healthcare settings, thereby enhancing programmatic and patient outcomes. Duration of untreated psychosis (DUP) is a variable worthy of empirical attention, as the construct has been identified as a leading predictor of psychotic spectrum disorder prognosis and, despite the proliferation of early intervention for psychosis (EIP) teams across the U.S.
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January 2025
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