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Objectives: Primary care treatable visits in the Emergency Department (ED) are part of the different factors leading to the overcrowding. Their triage and diversion to alternative care centers could potentially help manage the increasing inflow provided the establishment of an advanced triage to ensure patients' safety. We aim to suggest a new triage tool, PERSEE, and prove its feasibility, safety and performance., Methods: All self-referrals presented to the ED were triaged with the PERSEE algorithm: first, patients were classified with a five-level ED acuity scale and then evaluated by algorithms to determine their appropriate category (ED or Primary Care). Patients were eligible for a redirection if they were triaged by the acuity scale as level 3 or lower, considered as ambulatory patients and finally categorized as primary care patients. We defined appropriate redirections as patients requiring less than three emergency resources, no emergency-specific treatment and no hospitalization., Results: During the study, 1999 patients were admitted to the ED. Among those, 1333 patients were self-referred (66.9%) of whom 1167 patients were triaged as level 3 or below (58.6%) and 775 patients triaged as ambulatory (39.0%). Among the 775 patients, 200 patients were categorized as primary care treatable (10.0%) and thereby, as potentially eligible for a redirection. We noticed an error rate of 7%, sensitivity of 24.06% and specificity of 97.6%. The redirection rate reached 15% of the self-referrals., Conclusion: These results indicate that PERSEE triage could lead to a safe redirection and could be an efficient tool to reduce ED crowding provided several adjustments.

Objectives: Due to the persistent primary care physicians shortage and the substantial increase in their workload, the organization of primary care calls during out-of-hours periods has become an everyday challenge. The SALOMON algorithm is an original nurse telephone triage tool allowing to dispatch patients to the best level of care according to their conditions. This study evaluated its reliability and criterion validity in rea-life settings., Methods: In this 5-year study, out-of-hours primary care calls were dispatched into four categories: Emergency Medical Services Intervention (EMSI), Emergency Department referred Consultation (EDRC), Primary Care Physician Home visit (PCPH), and Primary Care Physician Delayed visit (PCPD). We included data of patients' triage category, resources, and destination. Patients included into the primary care cohort were classified undertriaged if they had to be redirected to an emergency department (ED). Patients from the ED cohort were considered overtriaged if they did not require at least three diagnostic resources, one emergency-specific treatment or any hospitalization. In the ED cohort, only patients from the University Hospitals were considered., Results: 10,207 calls were triaged using the SALOMON tool: 19.2% were classified as EMSI, 15.8% as EDRC, 62.8% as PCPH, and 2.2% as PCPD. The triage was appropriate for 85.5% of the calls with a 14.5% overtriage rate. In the PCPD/PCPH cohort, 96.9% of the calls were accurately triaged and 3.1% were undertriaged. SALOMON sensitivity and specificity reached 76.6% and 98.3%, respectively., Conclusion: SALOMON algorithm is a valid triage tool that has the potential to improve the organization of out-of-hours primary care work.

Objectives: Since the beginning of the novel coronavirus outbreak, different strategies have been explored to stem the spread of the disease and appropriately manage patient flow. Triage, an effective solution proposed in disaster medicine, also works well to manage Emergency Department (ED) flow. The aim of this study was to describe the role of an ED Triage Center for patients with suspected novel coronavirus disease (Covid-19) and characterize the patient flow., Methods: In March 2020, we established a Covid-19 triage center close to the Liège University EDs. From March 2 to March 23, we planned to analyze the specific flow of patients admitted to this triage zone and their characteristics in terms of inner specificities, work-up and management. During this period, all patients presented to the ED with symptoms suggestive of Covid-19 were included in the study., Results: A total amount of 1071 patients presented to the triage center during the study period. 41.50% of the patients presented with flu-like symptoms. In 82.00% of the cases, no risk factor of virus transmission was found. The SARS-Cov2 positive patients represented 29.26% of the screened patients. 83.00% of patients were discharged home while 17.00% were admitted to the hospital., Conclusion: Our experience suggests that triage centers for the assessment and management of Covid-19 suspected patients is an essential key strategy to prevent the spread of the disease among non-symptomatic patients who present to the EDs for care. This allows for a disease-centered work-up and safer diversion of Covid-19 patients to specific hospital units.

The regulation of the unscheduled care takes part of the different methods engaged to better organize the global demand for unscheduled urgent care among the different levels of care. Indeed, the first level of care equally with the emergency departments are facing major patient inflows often exceeding their available resources. Technological advances in healthcare and spreading of medical information reveal themselves as precursors of new adaptive strategies and daily challenges. The creation of an interactive app for patients self-triage through the different levels of care involves those different concepts. We created a new interactive platform, the ODISSEE mobile application (Outil Décisionnel et Informatif des Structures de Soins Efficientes Existantes), to allow patient's self-triage to the best level of care. The protocols used were directly based on a previously validated tool with a 5-year experience in our institution, the SALOMON algorithm (Système Algorithmique Liégeois d'Orientation pour la Médecine Omnipraticienne Nocturne). Establishment of interactive self-triage platform to guide patients to the best level of care could potentially be a promising tool to improve the regulation of unscheduled urgent care.

Facing the aging of primary care practitioners and their still increasing duties, we implemented a new and original solution to maintain the continuity of primary care in the area surrounding of our university hospital. Thereby, we created a new model of nurse telephone triage for the regulation of out-of-hours primary care calls, the SALOMON algorithm ("Système Algorithmique Liégeois d'Orientation pour la Médecine Omnipraticienne Nocturne"). Following the nurse telephone triage and the assessment of the illness severity, the patient is referred to four potential orientations : Emergency Medical Services (EMS), Emergency Department Referred Consultation (EDRC), Primary Care Physician Home visit (PCPH) and Primary Care Physician Delayed visit (PCPD). In this article, we aim to describe the SALOMON model and present a 12-month feasibility study in order to determine the safety of the tool. We can also notice nurse and general practitioner satisfaction about this approach with a positive impact on the global primary care out-of-hour organization. Currently, SALOMON seems to be full of promise. Further investigations on a larger cohort are needed to determine more precisely the reliability of the algorithm.

In March 2020, the COVID-19 pandemic started to spread among the Belgian territory. Our university hospital was confronted to the very need of specific reorganizations guided by the implementation of the Hospital Emergency Plan.This article aims to describe the experience of the University Hospital of Liège (CHU Liège) during the COVID-19 outbreak and demonstrates the efficiency of advanced triage centers to regulate hospital admissions from the emergency department (ED)., Methods: since the beginning of March 2020, the CHU of Liège has implemented specific advanced triage centers to manage patients with SARS-CoV-2 suspected symptoms. The first center was organized inside the hospital but the need of outside structures led to the creation of two centers by the end of March. From March 2 to May 3, data from the different visits at the COVID-19 centers were collected (numbers of admissions, rationale for coming, work up and outcome)., Results: during the study period, 3,094 patients were admitted to the specific COVID-19 centers of the CHU Liège. This represents 3,431 visits among which 337 were classified as readmission visits. The sensitivity and specificity of the triage centers to determine the need for hospitalization were, respectively, estimated at 87,9 % and 93,4 %., Conclusion: our experience tends to demonstrate the role of specific COVID-19 triage centers located very close to the EDs aimed at managing COVID-19 suspected patients in order to actually determine their need for subsequent hospitalization.

Introduction: Triage systems for out-of-hours primary care physician (PCP) calls have been implemented empirically but no triage algorithm has been validated to date. A triage algorithm named SALOMON (Système Algorithmique Liégeois d'Orientation pour la Médecine Omnipraticienne Nocturne) was developed to guide triage nurses. This study assessed the performance of the algorithm using simulated PCP calls. Methods: Ten nurses were involved in 130 simulated PCP call scenarios, allowing the determination of SALOMON's inter-rater agreement by comparing the actual choices of a specific triage flowchart and the level of care selected as compared with reference assignments. Intra-rater agreement was estimated by comparing triage after training (T1) and 3 to 6 months after SALOMON use in clinical practice (T2). Results: Overall selection of flowcharts was accurate for 94 .1% of scenarios at T1 and 98.7% at T2. Level of triage was adequate for 93.4% of scenarios at T1 and 98.5% at T2. Both flowchart and triage level accuracy improved significantly from T1 to T2 ( p  < 0.0001). SALOMON algorithm use is associated with a 0.97/0.99 sensitivity and 0.97/0.99 specificity, at T1/T2 respectively. Conclusions: Results revealed that using the SALOMON algorithm is valid for out-of-hours PCP calls triage by nurses. The criterion validity of this algorithm should be further evaluated through its implementation in a real life setting.

To cope with overcrowding, a consequence of their constant growth, emergency departments have implemented operational strategies based on triage systems. Despite its interest, nurse triage has been limited by several hindrances, and new strategies are emerging. Among those, advanced nurse triage, allowing a nurse to initiate the diagnostic process just after categorization of the patient, seems to be promising. A study on advanced nurse triage for patients presenting with chest pain has been conducted in the emergency department of the CHU of Liège. The encouraging results obtained following this new system demonstrate a reduction of the delay to management of patients, and a reduction of the total length of stay in the emergency unit mainly during overcrowding periods. Advanced nurse triage, in addition to a conventional triage during overcrowding periods, improves management of patients in terms of time and reduces the total time spent in the emergency department.

Objective: Overcrowding in emergency departments (ED) leads to reductions in quality of care. Consequently, several different triage tools have been developed to prioritise patient intake. Differences in emergency medical services in different countries have limited the generalisation of pre-existing triage systems; for this reason, specific algorithms corresponding to local characteristics are needed. Accordingly, we developed a specific French-language triage system named Echelle Liégeoise d'Index de Sévérité à l'Admission (ELISA). This study tested its validity and efficiency., Methods: ELISA is a five-category nursing triage algorithm. Intrarater agreement was tested by comparing triage levels attributed to the same clinical scenarios at two different times. Interrater agreement was investigated by comparing triage categories attributed to clinical cases by different triage nurses. Finally, validity was estimated by studying the correlations between the triage ranking assigned by the nurse and actual resource consumption and patient outcome., Results: The distribution of the difference between nurse classification at the two times was statistically unrelated to which nurse carried out the evaluation. Regarding interrater agreement, assigned classifications were compared to the reference assignment. Cohen's κ coefficient revealed an almost perfect agreement between classification by nurses and the reference. Finally, statistical analysis revealed a strong relation between ELISA and the overall need for supplementary clinical testing. Outcomes were also significantly correlated with ELISA., Conclusions: The need for a specific, French-language triage tool in our ED led us to develop a new triage scale. This study demonstrates that the scale is a valid triage tool with high interrater and intrarater agreement and considerable efficiency.

Emergency departments are frequently overcrowded due to the imbalance between need and availability of care. It results that influx patients should be regulated by using a triage tool located at the entrance area. This process has been in development for almost 15 years.We propose a new algorithm of triage (ELISA or Liège Scale of severity index at admission) based on a five-score level of emergency from U1 (emergent) to U5 (non urgent). Such a stratification of the state of emergency is associated with a time-delay for the first medical contact (immediate to 120 min) and a corresponding track for providing optimal care (emergency care unit, B sector or bed, A sector or ambulatory and waiting room) which together fit the sorting for the right patient to the right resources in the right place at the right time. Our algorithm has a confident efficiency as evidenced by the comparison between initial score of emergency and patient's follow up (intensive care, hospital recovery and discharge).

The management of the trauma victim admitted to the emergency department must be rapid and efficient. Within the first hour, vital functions must be stabilised while a systematic survey of all injuries is carried out. This survey must be as complete as possible, and depends on the patient's status and response to initial resuscitative measures. The need for urgent surgical intervention, therapeutic radiology, or other treatment modalities must be quickly established. This systematic approach, which follows a seven step sequence, can only be carried out by a well-trained team. Because at this time emergency and SMUR are often staffed with general practitioners, and because the trauma centers do not yet exist in Belgium, the application of the treatment protocol presented in this paper is a pre-requisite to quality of care for these patients. It is the only means to end, once and for all, the improvised or intuitive, and often erroneous, approach to these patients.