Virtual lesion clinic – Evaluation of a teledermatology triage system for referrals for suspected melanoma

Author(s):  
Rebecca Teague ◽  
Mark Wang ◽  
Daniel Wen ◽  
Michael Sunderland ◽  
Gill Rolfe ◽  
...  
Keyword(s):  
Author(s):  
Dirk Pabst ◽  
Jonas Schibensky ◽  
David Fistera ◽  
Joachim Riße ◽  
Clemens Kill ◽  
...  

Zusammenfassung Hintergrund Zur frühzeitigen Entscheidung in zukünftigen „Integrierten Notfallzentren“, ob eine ambulante oder innerklinische Versorgung indiziert ist, wäre es hilfreich, ein System zu haben, mit dem die Identifizierung von Patienten mit ambulanter Behandlungsindikation möglich ist. In dieser Studie untersuchten wir, ob das Manchester Triage System (MTS) dafür geeignet ist, Patienten zu erkennen, die sicher der ambulanten medizinischen Versorgung zugeteilt werden können. Methode Notaufnahmepatienten der „blauen“ MTS-Dringlichkeitsstufe wurden auf den Endpunkt „stationäre Aufnahme“ untersucht und mit der nächsthöheren MTS-Kategorie „grün“ verglichen. In einem zweiten Schritt wurde die „blaue“ Dringlichkeitsstufe auf die häufigsten gemeinsamen Kriterien untersucht, die zur stationären Aufnahme führten. Ergebnisse Nach Ausschluss von Patienten, die durch den Rettungsdienst oder nach vorherigem Arztbesuch vorstellig wurden, war die Rate der stationären Aufnahmen in der blauen Dringlichkeitsstufe signifikant niedriger als in der grünen Kategorie (10,8 % vs. 29,0 %). Die Rate konnte durch die Etablierung einer Untergruppe mit den zusätzlichen Ausschlusskriterien chronische Erkrankung und Wiedervorstellung nach vorheriger stationärer Behandlung auf 0,9 % gesenkt werden. (CEReCo-blue-Gruppe: Chronic Disorder (C), Emergency Medical Service (E), Readmission (R), Prior Medical Consultation (Co)). Schlussfolgerung Die blaue MTS-Dringlichkeitsstufe scheint zur Selektion von Patienten mit ambulanter Behandlungsindikation nicht geeignet zu sein. Wir schlagen die Einführung einer Untergruppe, der sog. CEReCo-blue-Gruppe vor, die für die Selektion dieser Patientengruppe hilfreich sein könnte.


Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2845
Author(s):  
Fahd Alhaidari ◽  
Abdullah Almuhaideb ◽  
Shikah Alsunaidi ◽  
Nehad Ibrahim ◽  
Nida Aslam ◽  
...  

With population growth and aging, the emergence of new diseases and immunodeficiency, the demand for emergency departments (EDs) increases, making overcrowding in these departments a global problem. Due to the disease severity and transmission rate of COVID-19, it is necessary to provide an accurate and automated triage system to classify and isolate the suspected cases. Different triage methods for COVID-19 patients have been proposed as disease symptoms vary by country. Still, several problems with triage systems remain unresolved, most notably overcrowding in EDs, lengthy waiting times and difficulty adjusting static triage systems when the nature and symptoms of a disease changes. In this paper, we conduct a comprehensive review of general ED triage systems as well as COVID-19 triage systems. We identified important parameters that we recommend considering when designing an e-Triage (electronic triage) system for EDs, namely waiting time, simplicity, reliability, validity, scalability, and adaptability. Moreover, the study proposes a scoring-based e-Triage system for COVID-19 along with several recommended solutions to enhance the overall outcome of e-Triage systems during the outbreak. The recommended solutions aim to reduce overcrowding and overheads in EDs by remotely assessing patients’ conditions and identifying their severity levels.


BDJ Team ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 28-33
Author(s):  
Angela Cowell ◽  
Louise Goodwin ◽  
Katherine Hare ◽  
Colin Campbell

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Steffie H. A. Brouns ◽  
Lisette Mignot-Evers ◽  
Floor Derkx ◽  
Suze L. Lambooij ◽  
Jeanne P. Dieleman ◽  
...  

2016 ◽  
Vol 24 (12) ◽  
pp. 5041-5048 ◽  
Author(s):  
Lorraine Warrington ◽  
Patricia Holch ◽  
Lucille Kenyon ◽  
Ceri Hector ◽  
Krystina Kozlowska ◽  
...  

2006 ◽  
Vol 23 (12) ◽  
pp. 906-910 ◽  
Author(s):  
J Roukema ◽  
E W Steyerberg ◽  
A van Meurs ◽  
M Ruige ◽  
J van der Lei ◽  
...  

2015 ◽  
Vol 4 (5) ◽  
pp. 47 ◽  
Author(s):  
Jean Claude Byiringiro ◽  
Rex Wong ◽  
Caroline Davis ◽  
Jeffery Williams ◽  
Joseph Becker ◽  
...  

Few case studies exist related to hospital accident and emergency department (A&E) quality improvement efforts in lowerresourced settings. We sought to report the impact of quality improvement principles applied to A&E overcrowding and flow in the largest referral and teaching hospital in Rwanda. A pre- and post-intervention study was conducted. A linked set of strategies included reallocating room space based on patient/visitor demand and flow, redirecting traffic, establishing a patient triage system and installing white boards to facilitate communication. Two months post-implementation, the average number of patients boarding in the A&E hallways significantly decreased from 28 (pre-intervention) to zero (post-intervention), p < .001. Foot traffic per dayshift hour significantly decreased from 221 people to 160 people (28%, p < .001), and non-A&E related foot traffic decreased from 81.4% to 36.3% (45% decrease, p < .001). One hundred percent of the A&E patients have been formally triaged since the implementation of the newly established triage system. Our project used quality improvement principles to reduce the number of patients boarding in the hallways and to decrease unnecessary foot traffic in the A&E department with little investment from the hospital. Key success factors included a collaborative multidisciplinary project team, strong internal champions, data-driven analysis, evidence-based interventions, senior leadership support, and rapid application of initial implementation learnings. Results to date show the application of quality improvement principles can help hospitals in resource-limited settings improve quality of care at relatively low cost.


Plant Disease ◽  
2004 ◽  
Vol 88 (4) ◽  
pp. 397-401 ◽  
Author(s):  
I. Roloff ◽  
H. Scherm ◽  
M. W. van Iersel

Leaf spots caused by fungal pathogens or abiotic factors can be prevalent on southern blueberries after harvest during the summer and fall, yet little is known about how they affect physiological processes that determine yield potential for the following year. In this study, we measured CO2 assimilation and leaf conductance on field-grown blueberry plants affected by Septoria leaf spot (caused by Septoria albopunctata) or by edema-like abiotic leaf blotching. Net assimilation rate (NAR) on healthy leaves varied between 6.9 and 12.4 μmol m-2 s-1 across cultivars and measurement dates. Infection by S. albopunctata had a significant negative effect on photosynthesis, with NAR decreasing exponentially as disease severity increased (R2 ≥0.726, P < 0.0001). NAR was reduced by approximately one-half at 20% disease severity, and values approached zero for leaves with >50% necrotic leaf area. There was a positive, linear correlation between NAR and leaf conductance (R2 ≥ 0.622, P < 0.0001), suggesting that the disease may have reduced photosynthesis via decreased CO2 diffusion into affected leaves. Estimates of virtual lesion size associated with infection by S. albopunctata ranged from 2.8 to 3.1, indicating that the leaf area in which photosynthesis was impaired was about three times as large as the area covered by necrosis. For leaves afflicted by edema-like damage, there also was a significant negative relationship between NAR and affected leaf area, but the scatter about the regression was more pronounced than in the NAR-disease severity relationships for S. albopunctata (R2 = 0.548, P < 0.0001). No significant correlation was observed between leaf conductance and affected area on these leaves (P = 0.145), and the virtual lesion size associated with abiotic damage was significantly smaller than that caused by S. albopunctata. Adequate carbohydrate supply during the fall is critical for optimal flower bud set in blueberry; therefore, these results document the potential for marked yield losses due to biotic and abiotic leaf spots.


2002 ◽  
Vol 28 (5) ◽  
pp. 395-400 ◽  
Author(s):  
Debbie A. Travers ◽  
Anna E. Waller ◽  
J.Michael Bowling ◽  
Deborah Flowers ◽  
Judith Tintinalli

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