Business Intelligence applied to Emergency Medical Services in the Lombardy region during SARS-CoV-2 epidemic (Preprint)

2020 ◽  
Author(s):  
Giuseppe Maria Sechi ◽  
Maurizio Migliori ◽  
Gabriele Dassi ◽  
Andrea Pagliosa ◽  
Rodolfo Bonora ◽  
...  
Keyword(s):  
Emergency Medical Services ◽  
Business Intelligence ◽  
First Aid ◽  
Medical Services ◽  
Evidence Based ◽  
Time Data ◽  
Lombardy Region ◽  
Emergency Medical ◽  
Real Time Data ◽  
The Impact

BACKGROUND Background: In Italy on the 21st of February, the first patient was tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at Codogno hospital in the Lombardy region. From that date, the Regional Emergency Medical Services (EMS) Trust (Azienda Regionale Emergenza Urgenza, AREU) of the Lombardy region decided to apply Business Intelligence (BI) to the management of EMS during the epidemic. OBJECTIVE Objective: The aim of the study is to assess in this context the impact of BI on EMS management outcomes. METHODS Methods: Since the beginning of the coronavirus disease 2019 (COVID-19) outbreak, in February 2020, AREU is using BI daily to track the number of first aid requests received from 112 (Public Safety Answering Point 1). BI analyses the number of requests that have been classified as respiratory and/or infectious episodes during the telephone dispatch interview. Moreover, BI allows analysing the pattern of the epidemic, identifying the numerical trend of episodes in each municipality (increasing, stable, decreasing). RESULTS Results: AREU decides to reallocate in the territory the resources based on real-time data recorded and elaborated by BI. Indeed, based on that data, the numbers of vehicles and personnel have been implemented in the municipalities that registered more episodes and where the clusters are supposed to be. BI has been of paramount importance in taking timely decisions on the management of EMS during COVID-19 outbreak in the Lombardy region. CONCLUSIONS Conclusion: Even if there is little evidence-based literature focused on BI impact within the health care, this study suggests that BI can be usefully applied to promptly identify clusters and patterns of the SARS-CoV-2 epidemic and, consequently, make informed decisions that can improve the EMS management response to the outbreak.

scholarly journals Management of Emergency Services in Lombardy during COVID-19 epidemic using Business Intelligence

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G M Sechi ◽  
M Migliori ◽  
G Dassi ◽  
A Pagliosa ◽  
R Bonora ◽  
...  
Keyword(s):  
Emergency Medical Services ◽  
Real Time ◽  
Business Intelligence ◽  
First Aid ◽  
Time Data ◽  
Lombardy Region ◽  
Daily Number ◽  
Intelligence System ◽  
Emergency Medical ◽  
Real Time Data

Abstract Background In Italy on the 20th of February, the first Italian patient was tested positive for Coronavirus Disease 2019 (COVID-19) in the Lombardy region. The Regional Emergency Medical Services (EMS) Trust (Azienda Regionale Emergenza Urgenza, AREU) of the Lombardy region decided to apply a Business Intelligence (BI) System to take timely decisions on the management of EMS and to monitor the spread of the disease in the region in order to better respond to the outbreak. Methods Since the beginning of the COVID-19 outbreak, AREU developed a BI System to track the daily number of first aid requests received from 1.1.2. (Public Safety Answering Point 1). BI evaluates the number of requests that have been classified as respiratory and/or infectious episodes during the telephone dispatch interview. Moreover, BI analyses the pattern of the epidemic, identifying the numerical trend of episodes in each municipality (increasing, stable, decreasing). Currently, AREU is still implementing the BI as the epidemic is still ongoing. Results In the Lombardy region on the 20th of February the number of the first aid requests for respiratory and/or infectious episodes were 314. This figure increased sharply during the month of February and March reaching its peak on the 16th of March with 1537 episodes. In the area around Bergamo, this number experienced a greater rise compared to the rest of the Lombardy territory, going from 74 episodes on the 20th of February to 694 on the 13th of March. Therefore, AREU decided to reallocate in the territory the resources (ambulances and human resources) based on the real-time data elaborated by the BI system. Conclusions The BI System has been of paramount importance in taking timely decisions on the management of EMS during the COVID-19 outbreak in the Lombardy region. Indeed, BI can be usefully applied to promptly identify the trend of the COVID-19 epidemic and, consequently, make informed decisions to improve the response to the outbreak. Key messages The Emergency Medical Services Trust of the Lombardy region applied a Business Intelligence System to promptly respond to the outbreak of COVID-19 and reallocate the resources based on real-time data. AREU used a Business Intelligence System to track the daily number of first aid requests that have been classified as respiratory and/or infectious episodes during the telephone dispatch interview.

scholarly journals The Administration of Prehospital Ketamine for Chemical Restraint does not Prolong On-Scene Times Compared to Haloperidol Based Sedation

2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Aaron Burnett ◽  
Dolly Panchal ◽  
Bjorn Peterson ◽  
Eric Ernest ◽  
Kent Griffith ◽  
...  
Keyword(s):  
Emergency Medical Services ◽  
Chart Review ◽  
Retrospective Chart Review ◽  
T Test ◽  
Medical Services ◽  
Demographic Differences ◽  
Chemical Restraint ◽  
Emergency Medical ◽  
Clinically Significant ◽  
The Impact

IntroductionAgitated patients who present a danger to themselves or emergency medical services (EMS) providers may require chemical restraints.  Haloperidol is employed for chemical restraint in many EMS services.  Recently, ketamine has been introduced as an alternate option for prehospital sedation.  On-scene time is a unique metric in prehospital medicine which has been linked to outcomes in multiple patient populations. When used for chemical restraint, the impact of ketamine relative to haloperidol on on-scene time is unknown.Objective: To evaluate whether the use of ketamine for chemical restraint was associated with a clinically significant (≥5 minute) increased on-scene time compared to a haloperidol based regimen.MethodsPatients who received haloperidol or ketamine for chemical restraint were identified by retrospective chart review.  On-scene time was compared between groups using an unadjusted Student t-test powered to 80% to detect a ≥5 minute difference in on-scene time.Results110 cases were abstracted (Haloperidol = 55; Ketamine = 55). Of the patients receiving haloperidol, 11/55 (20%) were co-administered a benzodiazepine, 4/55 (7%) received diphenhydramine and 34/55 (62%) received the three drugs in combination. There were no demographic differences between the haloperidol and ketamine groups.  On-scene time was not statistically different for patients receiving a haloperidol based regimen compared to ketamine (18.2 minutes, [95% CI 15.7-20.8] vs. 17.6 minutes, [95% CI 15.1-20.0]; p = 0.71).ConclusionsThe use of prehospital ketamine for chemical restraint was not associated with a clinically significant (≥5 minute) increased on-scene time compared to a haloperidol based regimen.  

scholarly journals Impact of the Four-Hour Rule policy on emergency medical services delays in Australian EDs: a longitudinal cohort study

2020 ◽  
pp. emermed-2019-208958 ◽  
Author(s):  
Nicola Wing Young Man ◽  
Roberto Forero ◽  
Hanh Ngo ◽  
David Mountain ◽  
Gerard FitzGerald ◽  
...  
Keyword(s):  
Emergency Medical Services ◽  
New South ◽  
New South Wales ◽  
Interrupted Time Series ◽  
Medical Services ◽  
Hospital Data ◽  
Emergency Medical ◽  
South Wales ◽  
Meta Regression Analysis ◽  
The Impact

IntroductionDelayed handover of emergency medical services (EMS) patients to EDs is a major issue with hospital crowding considered a primary cause. We explore the impact of the 4-hour rule (the Policy) in Australia, focusing on ambulance and ED delays.MethodsEMS (ambulance), ED and hospital data of adult patients presenting to 14 EDs from 2002 to 2013 in three jurisdictions were linked. Interrupted time series ‘Before-and-After’ trend analysis was used for assessing the Policy’s impact. Random effects meta-regression analysis was examined for associations between ambulance delays and Policy-associated ED intake, throughput and output changes.ResultsBefore the Policy, the proportion of ED ambulances delayed increased between 1.1% and 1.7% per quarter across jurisdictions. After Policy introduction, Western Australia’s increasing trend continued but Queensland decreased by 5.1% per quarter. In New South Wales, ambulance delay decreased 7.1% in the first quarter after Policy introduction. ED intake (triage delay) improved only in New South Wales and Queensland. Each 1% ambulance delay reduction was significantly associated with a 0.91% reduction in triage delay (p=0.014) but not ED length of stay ≤4 hours (p=0.307) or access-block/boarding (p=0.605) suggesting only partial improvement in ambulance delay overall.ConclusionThe Policy was associated with reduced ambulance delays over time in Queensland and only the immediate period in New South Wales. Associations may be due to local jurisdictional initiatives to improve ambulance performance. Strategies to alleviate ambulance delay may need to focus on the ED intake component. These should be re-examined with longer periods of post-Policy data.

scholarly journals Mapping Spatiotemporal Diffusion of COVID-19 in Lombardy (Italy) on the Base of Emergency Medical Services Activities

2020 ◽  
Vol 9 (11) ◽  
pp. 639
Author(s):  
Lorenzo Gianquintieri ◽  
Maria Antonia Brovelli ◽  
Andrea Pagliosa ◽  
Gabriele Dassi ◽  
Piero Maria Brambilla ◽  
...  
Keyword(s):  
Emergency Medical Services ◽  
Medical Services ◽  
Strongly Correlated ◽  
Spatiotemporal Evolution ◽  
Lombardy Region ◽  
Respiratory Problems ◽  
Emergency Calls ◽  
Emergency Medical ◽  
And Gender ◽  
Early Phases

The epidemic of coronavirus-disease-2019 (COVID-19) started in Italy with the first official diagnosis on 21 February 2020; hence, it is now known how many cases were already present in earlier days and weeks, thus limiting the possibilities of conducting any retrospective analysis. We hypothesized that an unbiased representation of COVID-19 diffusion in these early phases could be inferred by the georeferenced calls to the emergency number relevant to respiratory problems and by the following emergency medical services (EMS) interventions. Accordingly, the aim of this study was to identify the beginning of anomalous trends (change in the data morphology) in emergency calls and EMS ambulances dispatches and reconstruct COVID-19 spatiotemporal evolution on the territory of Lombardy region. Accordingly, a signal processing method, previously used to find morphological features on the electrocardiographic signal, was applied on a time series representative of territorial clusters of about 100,000 citizens. Both emergency calls and age- and gender-weighted ambulance dispatches resulted strongly correlated to COVID-19 casualties on a provincial level, and the identified local starting days anticipated the official diagnoses and casualties, thus demonstrating how these parameters could be effectively used as early indicators for the spatiotemporal evolution of the epidemic on a certain territory.

scholarly journals The Impact of Demographic Changes on the Organization of Emergency Medical Services: the Case of Slovenia

Organizacija ◽  
2015 ◽  
Vol 48 (4) ◽  
pp. 247-258 ◽  
Author(s):  
Tatjana Kitić Jaklič ◽  
Jure Kovač
Keyword(s):  
Emergency Medical Services ◽  
Planning Process ◽  
National Level ◽  
Social Factor ◽  
Software Tool ◽  
Medical Services ◽  
Emergency Medical ◽  
Rate Of Increase ◽  
Starting Point ◽  
The Impact

Abstract Background and Purpose: The modern environment requires that organizations (profit and non-profit) continually harmonize their organizational models with changes in their respective environments and with their own visions and strategies for further development. The organizational structure of Emergency Medical Services (hereinafter EMS) is currently a very topical issue in Slovenia, given that a project to establish a new organization of EMS is currently underway at the national level. By examining the case of one region in Slovenia, this article presents an analysis of factors that impact on the number and types of EMS activities and depicts a forecast of future trends for the requirement of EMS. The analysis presents the initial phase of a strategic planning process for the mentioned activity and consequently, a starting point for the formation of an organizational EMS model. Methodology: This article presents an analysis of factors that impact on the formulation of an EMS model on the basis of research carried out for one geographical region of Slovenia. For the previous period, data was collected from 2002 to 2014. The software tool used for the analysis was STATA 13.0. For the purpose of forecasting a five-year period trend we used statistical package RStudio and Hyndman’s Forecast package given that this package contains algorithms for forecasting univariate time series including exponential smoothing using automated spatial models and ARIMA modelling. Results: The research has confirmed a correlation between social/environmental factors and the rate of increase in the demand for EMS. A population’s age structure has been identified as the key social factor that increases the need for EMS. On the basis of this finding, this article presents a model for forecasting growth trends in the scope of EMS activities. Conclusion: The research study has identified some important elements that are imperative to take into consideration when formulating an EMS network at the prehospital level. Population ageing has emerged as a key social factor. In the accordance with forecasted trends, an increase in the burden placed on EMS activities may also be anticipated in the future.

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