Response Time Estimation of a Web-Based Electronic Health Record (EHR) System using Queuing Model

2012 ◽  
pp. 272-284
Author(s):  
Isabel de la Torre Díez ◽  
Francisco Javier Díaz Pernas ◽  
Miguel López Coronado ◽  
Roberto Hornero Sánchez ◽  
María Isabel López Gálvez ◽  
...  
Keyword(s):  
Response Time ◽  
System Performance ◽  
Response Times ◽  
Time Estimation ◽  
Time Measurement ◽  
Queuing Model ◽  
Web Based ◽  
Queuing Models ◽  
Web System ◽  
Electronic Health

Response time measurement of a Web system is critically important to evaluate its performance. This response time is one of the main barriers usually found in the implementation of an effective Electronic Health Records (EHRs) system. The database selected will affect the system performance. This paper presents a comparison of the response times of a EHRs Web system, TeleOftalWeb, using different databases. In order to calculate these times, M/M/1 queuing models is used. Four databases were selected: Oracle 10g, dbXML 2.0, Xindice 1.2, and eXist 1.1.1. The final objective of the comparison is choosing the database system resulting in the lowest response time to TeleOftalWeb.

Response Time Estimation of a Web-Based Electronic Health Record (EHR) System using Queuing Model

2010 ◽  
Vol 1 (4) ◽  
pp. 66-78 ◽  
Author(s):  
Isabel de la Torre Díez ◽  
Francisco Javier Díaz Pernas ◽  
Miguel López Coronado ◽  
Roberto Hornero Sánchez ◽  
María Isabel López Gálvez ◽  
...  
Keyword(s):  
Response Time ◽  
Response Times ◽  
Time Estimation ◽  
Time Measurement ◽  
Queuing Model ◽  
Health Records ◽  
Web Based ◽  
Queuing Models ◽  
Web System ◽  
Electronic Health

Response time measurement of a Web system is critically important to evaluate its performance. This response time is one of the main barriers usually found in the implementation of an effective Electronic Health Records (EHRs) system. The database selected will affect the system performance. This paper presents a comparison of the response times of a EHRs Web system, TeleOftalWeb, using different databases. In order to calculate these times, M/M/1 queuing models is used. Four databases were selected: Oracle 10g, dbXML 2.0, Xindice 1.2, and eXist 1.1.1. The final objective of the comparison is choosing the database system resulting in the lowest response time to TeleOftalWeb.

scholarly journals Effects of Visual and Auditory Response Times in Males and Females by using Tactile and Mouse on Web Based Environment

2019 ◽  
Vol 8 (3) ◽  
pp. 6458-6464
Keyword(s):  
Response Time ◽  
Web Application ◽  
Response Times ◽  
Research Work ◽  
Visual Response ◽  
Time Data ◽  
Web Based ◽  
Male Response ◽  
Scientific Disciplines ◽  
Auditory Response

The purpose of this research work is to find out whether one of visual response time or auditory response time is faster than another on web based environment. Simple reaction time can be strong when an individual is asked to press a button as soon as a light or sound appears. A tool for capturing response times is created. This tool is a web application www.responsetime.muhammadsuhaib.com that runs on server and can be accessed through internet. R is commonly used in countless scientific disciplines for statistical analysis. Collected data will be analyzed by using R. it is concluded that on web based environment visual response times are not different than auditory response time. The data are also classified by gender to compare male response time and female response time, data analyzed based on gender, on visual stimuli, male react faster than female. However, on auditory stimuli, there is no different between male and female

An Integrated Model of Discrete Choice and Response Time

2008 ◽  
Vol 45 (5) ◽  
pp. 593-607 ◽  
Author(s):  
Thomas Otter ◽  
Greg M. Allenby ◽  
Trish Van Zandt
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Discrete Choice ◽  
Response Times ◽  
Marketing Research ◽  
Race Model ◽  
Exogenous Variables ◽  
Web Based ◽  
Dependent Variables ◽  
Do So

Computer and Web-based interviewing tools have made response times ubiquitous in marketing research. Practitioners use these data as an indicator of data quality, and academics use them as an indicator of latent processes related to memory, attributes, and decision making. The authors investigate a Poisson race model with choice and response times as dependent variables. The model facilitates inference about respondents' preferences for choice alternatives, their diligence in providing responses, and the accessibility of attitudes and the speed of thinking. Thus, the model distinguishes between respondents who are quick to think and those who are quick to react but do so without much thought. Empirically, the authors find support for the endogenous nature of response times and demonstrate that models that treat response times as exogenous variables may result in misleading inferences.

scholarly journals PENGARUH IMPLEMENTASI LOAD BALANCING DAN TUNING WEB SERVER PADA RESPONSE TIME RASPBERRY PI

2019 ◽  
Vol 6 (2) ◽  
pp. 211
Author(s):  
Dodon Turianto Nugrahadi ◽  
Rudy Herteno ◽  
Muhammad Anshari
Keyword(s):  
Load Balancing ◽  
Response Time ◽  
Load Balance ◽  
Response Times ◽  
Rapid Development ◽  
Web Server ◽  
Round Robin ◽  
Raspberry Pi ◽  
Web Servers ◽  
Web Based

<div class="WordSection1"><p><em>The rapid development of technology, the increase in web-based systems and development of microcontroller device, have an impact on the ability of web servers to respond in serving client requests. This study aims to analyze load balancing methods </em><em>algoritma round robin </em><em>and </em><em>tuning that significant influence for</em><em> the response time and the number of clients who are able to be handled in serving clients on the web server with microcontroller device. From this study with Stresstool testing the response time was 2064, 2331,4 and 1869,2ms for not using load balancing and 2270, 2306,2 and 2202ms with load balancing from 700 requests served by web servers. It can be concluded that web server response times that use load balancing are smaller than web servers without load balancing. Furthermore, using tuning with the response time obtained at 3103.4ms from 1100 requests. So, with tuning can reduce response time and increase the number of requests.</em><em> With level significant level calculatio, have it khown that tuning configuration give significant effe</em><em>ct</em><em>  for </em><em>the response time and the number of clients in microcontroller.</em></p><p><strong>Keywords</strong>: <em>Web server, Raspberry, Load balancing, Response time, Stresstool.</em></p><p><em>Perkembangan </em><em>implementasi teknologi</em><em> yang pesat, seiring dengan perkembangannya </em><em>sistem </em><em>berbasis web dan perangkat mikrokontroler</em><em>, berdampak pada kemampuan web server dalam memberikan tanggap untuk melayani permintaan klien. Penelitian ini bertujuan untuk menganalisis metode load balance</em><em> </em><em>algoritma round robin dan tuning yang berpengaruh terhadap waktu tanggap dan banyaknya jumlah klien yang mampu ditangani dalam melayani klien pada web server</em><em> dengan mikrokontroler</em><em>. Dari penelitian ini </em><em>dengan pengujian Stresstool </em><em>didapatkan waktu tanggap sebesar </em>2331,4, 2064, 1869,2<em>ms untuk tanpa load balancing dan </em>2270, 2306,2<em> dan </em>2202<em>ms dengan load balancing dari </em><em>600 permintaan </em><em>yang dilayani </em><em>web server</em><em>. Dapat disimpulkan bahwa waktu tanggap web server yang menggunakan load balancing lebih kecil dibandingkan web server yang tidak menggunakan load balancing. Selanjutnya menggunakan tuning dengan waktu tanggap sebesar 3103,4ms dari 1100 permintaan. Jadi, tuning dapat mempersingkat waktu tanggap dan meningkatkan jumlah permintaan yang dilayani web server.</em><em> Selanjutnya dengan penghitungan tingkat pengaruh, bahwa </em><em>diketahui konfigurasi load balancing algoritma round robin  dan tuning memberikan pengaruh secara signifikan terhadap waktu tanggap dan jumlah permintaan pada mikrokontroler.</em></p><p><strong><em>Kata kunci</em></strong><em> : </em><em>Web server</em><em>,</em><em> Raspberry,</em><em> Load balancing, Waktu tanggap, Stresstool,</em><em> Jmeter,</em><em> Klien</em></p></div><em><br clear="all" /> </em>

scholarly journals Web survey paradata on response time outliers

2018 ◽  
Vol 15 (1) ◽  
Author(s):  
Miha Matjašič ◽  
Vasja Vehovar ◽  
Katja Lozar Manfreda
Keyword(s):  
Response Time ◽  
Response Times ◽  
Poor Response ◽  
Time Measurement ◽  
Web Surveys ◽  
Response Quality ◽  
Different Types ◽  
Scientific Papers ◽  
Survey Instruments ◽  
The Relationship

In the last two decades, survey researchers have intensively used computerised methods for the collection of different types of paradata, such as keystrokes, mouse clicks and response times, to evaluate and improve survey instruments as well as to understand the survey response process. With the growing popularity of web surveys, the importance of paradata has further increased. Within this context, response time measurement is the prevailing paradata approach. Papers typically analyse the time (measured in milliseconds or seconds) a respondent needs to answer a certain item, question, page or questionnaire. One of the key challenges when analysing the response time is to identify and separate units that are answering too quickly or too slowly. These units can have a poor response quality and are typically labelled as response time outliers. This paper focuses on approaches for identifying and processing response time outliers. It presents a systematic overview of scientific papers on response time outliers in web surveys. The key observed characteristics of the papers are the approaches used, the level of time measurement, the processing of response time outliers and the relationship between response time and response quality. The results show that knowledge on response time outliers is scattered, inconsistent and lacking systematic comparisons of approaches. Consequently, there is a need to improve and upgrade the knowledge on this issue and to develop new approaches that will overcome existing deficiencies and inconsistencies in identifying and dealing with response time outliers.

Temporal Prediction Errors Affect Short-Term Memory Scanning Response Time

2016 ◽  
Vol 63 (6) ◽  
pp. 333-342
Author(s):  
Roberto Limongi ◽  
Angélica M. Silva
Keyword(s):  
Response Time ◽  
Short Term Memory ◽  
Estimation Error ◽  
Predictive Coding ◽  
Time Estimation ◽  
Prediction Errors ◽  
Memory Scanning ◽  
Short Term ◽  
Term Memory ◽  
Temporal Prediction

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.

Ontological Knowledge Representation and Inference Rules for MTM Decision Support System

2014 ◽  
Author(s):  
Rahul Renu ◽  
Gregory Mocko
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Knowledge Representation ◽  
Support System ◽  
Time Estimation ◽  
Time Measurement ◽  
Inference Rules ◽  
Assembly Time ◽  
Time Estimates ◽  
Definition Of

The objective of the research presented is to develop and implement an ontological knowledge representation for Methods-Time Measurement assembly time estimation process. The knowledge representation is used to drive a decision support system that provides the user with intelligent MTM table suggestions based on assembly work instructions. Inference rules are used to map work instructions to MTM tables. An explicit definition of the assembly time estimation domain is required. The contribution of this research, in addition to the decision support system, is an extensible knowledge representation that models work instructions, MTM tables and mapping rules between the two which will enable the establishment of assembly time estimates. Further, the ontology provides an extensible knowledge representation framework for linking time studies and assembly processes.

scholarly journals Stimulus-response time to invasive blood pressure alarms: implications for the safety of critical-care patients

2014 ◽  
Vol 35 (2) ◽  
pp. 135-141 ◽  
Author(s):  
Adele Kuckartz Pergher ◽  
Roberto Carlos Lyra da Silva
Keyword(s):  
Blood Pressure ◽  
Response Time ◽  
Response Times ◽  
Hemodynamic Instability ◽  
Military Hospital ◽  
Invasive Blood Pressure ◽  
Stimulus Response ◽  
The City ◽  
Physical Layout

Observational, descriptive, exploratory, case study with the objective of measuring the stimulus-response time of the team to alarms monitoring invasive blood pressure (IBP) and analyzing the implications of this time for the safety of the patient. From January to March 2013, 60 hours of structured observation were conducted with registration of the alarms activated by IBP monitors in an adult ICU at a military hospital in the city of Rio de Janeiro. 76 IBP alarms were recorded (1.26 alarms/hour), 21 of which (28%) were attended to and 55 (72%) considered as fatigued. The average response time to the alarms was 2 min. 45 sec. The deficit in human resource and physical layout were factors determining the delay in response to the alarms. The increase in response times to these alarms may compromise the safety of patients with hemodynamic instability, especially in situations such as shock and the use of vasoactive drugs.

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