La segmentazione comportamentale dei pazienti non urgenti in Pronto Soccorso: specificità degli utenti frequent user ed occasionali

2018 ◽  
Author(s):  
Massimiliano Gallo ◽  
Cinzia Panero ◽  
Milena Vaineri
Keyword(s):  
Frequent User ◽  
Pronto Soccorso

Negli ultimi anni il servizio di Pronto Soccorso si è caratterizzato per un costante incremento degli accessi. Tra questi hanno assunto un peso rilevante quelli effettuati da pazienti con codici minori, segnaletici di bisogni di prestazioni non urgenti. La letteratura ha inoltre spesso rilevato che sono proprio questi pazienti ad essere maggiormente insoddisfatti per il servizio ricevuto.Il paper si propone pertanto di analizzare le caratteristiche dei pazienti non urgenti del servizio di Pronto Soccorso, focalizzando l'attenzione su due cluster comportamentali, i frequent user ed i pazienti al primo accesso, con la finalità di comprenderne le specificità e le determinanti della soddisfazione, utili a meglio gestire l'erogazione del servizio nei loro confronti, incrementarne la soddisfazione ed evitare che i pazienti al primo accesso si trasformino in frequent user.

Paziente agitato in Pronto Soccorso

EMC - Urgenze ◽  
2020 ◽  
Vol 24 (3) ◽  
pp. 1-12
Author(s):  
C. Massoubre ◽  
A. Gay
Keyword(s):  
Pronto Soccorso

Analisi socio-economica degli accessi ripetuti al pronto soccorso pediatrico: il caso dell'Istituto G. Gaslini di Genova

2017 ◽  
pp. 312-327
Author(s):  
Enrico Di Bella ◽  
Lucia Fontana ◽  
Lucia Leporatti ◽  
Marcello Montefiori ◽  
Paolo Petralia
Keyword(s):  
Pronto Soccorso

Characteristics of frequent paediatric users of emergency departments in England: an observational study using routine national data

2020 ◽  
pp. emermed-2019-209122
Author(s):  
Geva Greenfield ◽  
Mitch Blair ◽  
Paul P Aylin ◽  
Sonia Saxena ◽  
Azeem Majeed ◽  
...  
Keyword(s):  
Ethnic Groups ◽  
Emergency Departments ◽  
National Data ◽  
Frequent User ◽  
Frequent Users ◽  
Frequent Attender ◽  
Random Intercept ◽  
Frequent Attendance ◽  
Lower Likelihood ◽  
Deprived Areas

BackgroundFrequent attendances of the same users in emergency departments (ED) can intensify workload pressures and are common among children, yet little is known about the characteristics of paediatric frequent users in EDs.AimTo describe the volume of frequent paediatric attendance in England and the demographics of frequent paediatric ED users in English hospitals.MethodWe analysed the Hospital Episode Statistics dataset for April 2014–March 2017. The study included 2 308 816 children under 16 years old who attended an ED at least once. Children who attended four times or more in 2015/2016 were classified as frequent users. The preceding and subsequent years were used to capture attendances bordering with the current year. We used a mixed effects logistic regression with a random intercept to predict the odds of being a frequent user in children from different sociodemographic groups.ResultsOne in 11 children (9.1%) who attended an ED attended four times or more in a year. Infants had a greater likelihood of being a frequent attender (OR 3.24, 95% CI 3.19 to 3.30 vs 5 to 9 years old). Children from more deprived areas had a greater likelihood of being a frequent attender (OR 1.57, 95% CI 1.54 to 1.59 vs least deprived). Boys had a slightly greater likelihood than girls (OR 1.05, 95% CI 1.04 to 1.06). Children of Asian and mixed ethnic groups were more likely to be frequent users than those from white ethnic groups, while children from black and 'other' had a lower likelihood (OR 1.03, 95% CI 1.01 to 1.05; OR 1.04, 95% CI 1.01 to 1.06; OR 0.88, 95% CI 0.86 to 0.90; OR 0.90, 95% CI 0.87 to 0.92, respectively).ConclusionOne in 11 children was a frequent attender. Interventions for reducing paediatric frequent attendance need to target infants and families living in deprived areas.

Pronto Soccorso

2021 ◽  
Vol 40 (7) ◽  
pp. 1-6
Author(s):  
Lorenzo Calligaris ◽  
Federico Poropat ◽  
Giorgio Cozzi
Keyword(s):  
Pronto Soccorso

Firmware Design Capture

1995 ◽  
Author(s):  
Michael J. Viste ◽  
David M. Cannon
Keyword(s):  
Design Activity ◽  
Specific Information ◽  
Frequent User ◽  
Design Information ◽  
Strategic Design ◽  
Quality Feedback ◽  
Development Life Cycle ◽  
Initial Work ◽  
Increase Product Quality ◽  
Design Capture

Abstract One of Allen-Bradley’s goals is leveraging — taking better advantage of existing resources. We are developing a methodology and supporting tools that help engineers share and reuse (i.e., leverage) their firmware design and development work. Writing reusable firmware source code is especially difficult due to the tight constraints in most embedded systems — code must usually be written for product specific hardware needs and resources. Reuse of engineering work at the design level is a more effective approach. With this in mind, we have been working with Allen-Bradley Power Products engineers and managers to pilot a Firmware Design Capture (FDC) system. In a FDC system, engineers work in their own paper or electronic workbooks compiling descriptions of their domains’ technologies and algorithms in loosely structured electronic document sets called technology books. Product-specific information is placed in complementary document sets called product books. Engineers can access this growing body of ‘Strategic Design Information’ that they and others have created; freely drawing from, commenting on, or adding to it. Key characteristics of this FDC system are: • A focus on collecting reusable and accessible design information • Incremental, small-grained development of documents during design activity • Electronic format of documents, for ease of refinement and access • Unobtrusive tools and methods, determined through frequent user feedback We expect this methodology to help engineers improve schedule predictability and reduce the firmware development life cycle, better retain vital technologies and product data, and increase product quality. Feedback from our initial work supports these expectations.

Digital Bookstore

2021 ◽  
Vol 9 (VII) ◽  
pp. 1326-1337
Author(s):  
Amey Thakur
Keyword(s):  
Programming Languages ◽  
Web Application ◽  
Credit Card ◽  
Sql Server ◽  
Data Sets ◽  
Frequent User ◽  
Web Browser ◽  
Book Store ◽  
Different Types ◽  
Online Book

The project's main goal is to build an online book store where users can search for and buy books based on title, author, and subject. The chosen books are shown in a tabular style and the customer may buy them online using a credit card. Using this Website, the user may buy a book online rather than going to a bookshop and spending time. Many online bookstores, such as Powell's and Amazon, were created using HTML. We suggest creating a comparable website with .NET and SQL Server. An online book store is a web application that allows customers to purchase ebooks. Through a web browser the customers can search for a book by its title or author, later can add it to the shopping cart and finally purchase using a credit card transaction. The client may sign in using his login credentials, or new clients can simply open an account. Customers must submit their full name, contact details, and shipping address. The user may also provide a review of a book by rating it on a scale of one to five. The books are classified into different types depending on their subject matter, such as software, databases, English, and architecture. Customers can shop online at the Online Book Store Website using a web browser. A client may create an account, sign in, add things to his shopping basket, and buy the product using his credit card information. As opposed to a frequent user, the Administrator has more abilities. He has the ability to add, delete, and edit book details, book categories, and member information, as well as confirm a placed order. This application was created with PHP and web programming languages. The Online Book Store is built using the Master page, data sets, data grids, and user controls.

On Interdisciplinary Intersection of Unconventional Algorithms and Big Data Processing in Real World Problems

2017 ◽  
pp. 326-347 ◽  
Author(s):  
Ivan Zelinka ◽  
Martin Kruliš ◽  
Marek Běhálek ◽  
Tung Minh Luu ◽  
Jaroslav Pokorný
Keyword(s):  
Real World ◽  
Optimization Problems ◽  
Real Life ◽  
Frequent User ◽  
Optimum Trajectory ◽  
Data Flows ◽  
Traffic Optimization ◽  
Modelling And Optimization ◽  
User Intervention ◽  
Or Modelling

Optimization algorithms are a powerful tool for solving many problems of engineering applications from different fields of real life. They are usually used where the solution of a given problem analytically is unsuitable or unrealistic. If implemented in a suitable manner, there is no need for frequent user intervention into the actions of the equipment in which they are used. The majority of the problems of real life applications can be defined as optimization problems, for example, finding the optimum trajectory of a robot, optimal data flows in various processes like city traffic optimization or modelling and optimization of the seasonal variances of supply, traffic and facilities occupation in tourism among the others. The structure of this chapter is such that on the beginning are introduced bio-inspired algorithms, then parallelization of algorithms and parallel hardware and at the end, open research on Ho Chi Minh City traffic optimization real world example is introduced. In Conclusion are discussed possibilities of mutual combinations of introduced methods.

An Investigation of User Behaviour Consistency for Context-Aware Information Retrieval Systems

2009 ◽  
Vol 1 (4) ◽  
pp. 69-90 ◽  
Author(s):  
Adam Grzywaczewski ◽  
Rahat Iqbal ◽  
Anne James ◽  
John Halloran
Keyword(s):  
Information Retrieval ◽  
User Study ◽  
User Interaction ◽  
Context Aware ◽  
Interaction Patterns ◽  
Frequent User ◽  
User Interactions ◽  
Information Retrieval Systems ◽  
Finite Set ◽  
Domain Expertise

Users interact with the Internet in dynamic environments that require the IR system to be context aware. Modern IR systems take advantage of user location, browsing history or previous interaction patterns, but a significant number of contextual factors that impact the user information retrieval process are not yet available. Parameters like the emotional state of the user and user domain expertise affect the user experience significantly but are not understood by IR systems. This article presents results of a user study that simplifies the way context in IR and its role in the systems’ efficiency is perceived. The study supports the hypothesis that the number of user interaction contexts and the problems that a particular user is trying to solve is related to lifestyle. Therefore, the IR system’s perception of the interaction context can be reduced to a finite set of frequent user interactions.

Patterns of frequent user interactions in blogosphere

2020 ◽  
Author(s):  
Krzysztof Rudek ◽  
Jarosław Koźlak
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Relative Difference ◽  
Pattern Identification ◽  
Frequent Patterns ◽  
Frequent User ◽  
User Interactions ◽  
Data Set ◽  
Political Issues

Abstract The aim of the paper is to identify and categorize frequent patterns describing interactions between users in social networks. We analyze a social network with relationships between users that evolve in time already identified. In our research, we discover patterns based on frequent interactions between groups of users. The patterns are described by the characteristics of these interactions, such as their reciprocity, or the relative difference between estimations of global influences of the users participating in the discussions. The modification of the apriori algorithms is applied as one of the methods for pattern identification. The analyzed social network is built using the data set containing data from the Polish blog website salon24, which concerns mostly socio-political issues.

Polmonite acuta comunitaria dell’adulto al Pronto Soccorso

EMC - Urgenze ◽  
2020 ◽  
Vol 24 (1) ◽  
pp. 1-15
Author(s):  
Y.-E. Claessens ◽  
X. Delecour ◽  
N. Beau
Keyword(s):  
Pronto Soccorso
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