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Prof. Dr. med. Christian Nickel

Department of Clinical Research
Profiles & Affiliations

Projects & Collaborations

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REMEDY (Reducing Mistriage in Emergency Departments: A Path to Improved Triage Accuracy through Real-time Evaluation and Artificial Intelligence)

Research Project  | 4 Project Members

Imported from Grants Tool 4707568


RemEDy (Reducing Mistriage in Emergency Departments)

The demand for emergency care varies and can change rapidly. Emergency Department (ED) performance depends on the number of patients who present, and their flow through the ED to their safest and most appropriate disposition (admission to tertiary care, referral to one of the partnering hospitals, or discharge). Effective triage is critical for the safe management of patients presenting to the ED, ensuring the right patient receives the right care at the right time in the right place with the right resources. Despite the recognized importance of accurate triage of emergency department patients, approximately 20% to 30% experience incorrect triage level assignment, known as mistriage. Mistriage might be associated with adverse health outcomes. To enhance triage accuracy, it is crucial to understand the causes of mistriage and how they are associated with the characteristics of patients, triage clinicians, and ED metrics. A comprehensive understanding of mistriage will allow for the identification of potential areas for improvement, leading to the development of measures to avoid it. RemEDy (Reducing Mistriage in Emergency Departments) will identify and analyze mistriage in a real-time triage setting in 7 ED’s in German-speaking Switzerland, comparing routine triage procedures with expert triage simultaneously, and develop and evaluate an AI model that can potentially assist with triage decisions, aiming to detect patients who should not wait early. Based on the results, we will develop a learning module for triage clinicians and assess its effectiveness in reducing mistriage. This could result in enhanced accuracy in triage code assignment, thereby reducing mistriage and its associated consequences.

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Defining the need for analgesia in the emergency department: protocol for an international Delphi Process

Research Project  | 12 Project Members

Introduction

The high prevalence of pain in the emergency department (ED) highlights the importance of an accurate assessments to provide effective interventions. However, common pain scales such as the numerical pain rating scale have shown limitations in assessing analgesic requirements and adequacy. The ideal outcome for evaluating a pain scale predicting analgesic requirements would be the “need for analgesia”, for which there is no universally accepted definition. Accordingly, the primary aim of this study is to define the “need for analgesia” using an interdisciplinary approach. The secondary aim is to define the “adequacy of analgesia”.


Methods and analysis

A two-stage modified Delphi process will be conducted by a core study group chosen for its expertise in ED pain management. A larger expert panel, identified through a comprehensive search in Scopus and CINAHL databases, will be invited to participate in the study and will be supplemented by patients recruited via International Patient Organizations. In Stage 1, the expert panel will complete a written survey to collect potential clinical variables for defining the “need for analgesia” and “adequacy of analgesia”. The core study group will elaborate these variables. In stage 2, the same participants will use a five-point Likert scale to achieve consensus defined as 80% of combined agreement on the proposed variables. The same process will be used to define the “adequacy of analgesia”.


Ethics and Dissemination

The Ethics Committee of Northwestern and Central Switzerland exempted the project from committee approval under the Human Research Act. Written consent will be obtained from all participants. Results will be disseminated through publication in peer-reviewed journals and conferences. 

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Systemanalyse der saisonalen Grippevirusübertragung und -verbreitung in Basel-Stadt / System analysis of seasonal influenza - virus transmission and evolution in the City of Basel , Projekt Nr. CR3213_166258, EKNZ 2015-363

Research Project  | 25 Project Members

Diseases with influenza viruses are frequent and may be associated with severe clinical consequences and high health costs. The virus transmission in urban environments is very complex and the mechanisms and determinants of the transmission of viruses in the urban population have not been fully understood. This project aims at understanding the possible transmission paths of influenza infections within the urban context. It is assumed that geographic spreading patterns of influenza may help identify causes as well as transmission paths of the viruses which in turn may assist in formulating preventative measures. Core element of this research endeavor therefore is a large research network from the fields of Medicine, Life Sciences, Infectious Diseases, Social Geography and Ecology, Clinical Microbiology and Medical Statistics, capable of analyzing the geographic and microbiological-molecular-genetic dimensions of influenza transmission and modelling the transmission mathematically and statistically. Inter-disciplinary, inter-faculty, inter-institutional research approach. A unique feature of the research project then is its interdisciplinary, interfaculty, inter-institutional approach through cooperation of the fields of Medicine, Environmental Sciences and Biosystems Engineering, particularly the following: at the University Hospital Basel: the Emergency Department, the Division of Infectious Diseases and Hospital Epidemiology, the Division of Clinical Microbiology, the Clinical Trial Unit at the Department of Clinical Research, the Blood Donation Center, and at the University of Basel: Applied Microbiological Research at the Department of Biomedicine, the Department of Environmental Sciences Human Geography Research Group, and the Institute of General Practice Medicine. At the Swiss Federal Institute of Technology Zurich: the Computational Evolution at the Department of Biosystems Science & Engineering. The following work packages will be executed as described in greater detail in the research data base. 1 Geographic approaches GIS - (Geographic Information Systems) visualizations and geoinformatic analyses. Influenza incidences and structural characteristics of the urban quarters in the City of Basel and of Swiss communities situate the number of registered influenza cases in the City of Basel, using University hospital patient data and map the dispersion and spatial distribution and concentration patterns of the different influenza incidences according to influenza virus subtypes (influenza A or B) and other respiratory diseases examine possible associations between these characteristics and those of the urban environment and of urban quarters (e.g. population density, age distribution, proximity to schools and public transport and the built-up area). Household Survey - Determinants of the influenza vaccine uptake in Basel analyses vaccine uptake, vaccine coverage, health behavior, perceptions on vaccination and other preventative measures, source of health information differences according to urban quarters, person specific variables (e.g. age, gender, place of residence) and reported behaviors and perceptions. 2 Medical, microbiological approaches analyse the transmission network of the influenza virus using Next Generation Sequencing (NGS) genetic information of the pathogens and how they spread and mutate within the city context. 3 The biosystems science and engineering approach uses mathematical modelling to develop mathematical models for influenza transmission understand the transmission patterns of the influenza pathogen and simulate preventative measures in the model. Relevance. Influenza viruses adapt rapidly to the host immune system. Due to the constant change the virus can escape the targeted immune response and thereby create an opportunity to spread, causing every winter epidemics. The adaption happens through small genetic transformations. Therefore, the immunological protection acquired is only short-lived. The frequency of influenza cases does not only depend on a single individual but also on the population as a whole. Putting disease incidences into a spatial context contributes to the understanding of transmission paths of influenza in an urban context. It has not been intensely investigated if there is a connection between influenza incidences in an urban space and aspects of the urban environment as well as the different quarter structures, but it is considered likely, and this is the focus of this interdisciplinary, interfaculty, interinstitutional project