Social Simulation Based on Human Behavioral Data Collected by Web-Based Experimental System

2010 ◽  
Vol 5 (4) ◽  
pp. 141-151
Author(s):  
Taiyo Maeda ◽  
Tadahiko Murata ◽  
Daichi Kotaka ◽  
Shigeru Matsumoto ◽  
Yaug Cao
Keyword(s):  
Experimental System ◽  
Social Simulation ◽  
Behavioral Data ◽  
Web Based ◽  
Simulation Based

WEB-BASED SOFTWARE FOR REAL-TIME SIMULATION-ASSISTED TRIAL DESIGN IN ALZHEIMER’S DISEASE

2015 ◽  
pp. 1-4
Author(s):  
D. Polhamus ◽  
J. Kang ◽  
J. Rogers ◽  
M. Gastonguay
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Statistical Power ◽  
Operating Characteristics ◽  
Longitudinal Models ◽  
Exclusion Criteria ◽  
Web Based ◽  
Correct Dose ◽  
Time Simulation ◽  
Simulation Based

Clinical trials for Alzheimer’s Disease (AD) are necessarily designed in the presence of substantial quantitative uncertainty. Certain important aspects of this uncertainty can be mitigated by developing longitudinal models for AD progression and by using these models to simulate virtual trials and estimate operating characteristics (such as statistical power, the probability of stopping at an interim analysis, the probability of identifying the correct dose, etc.) as a function of candidate design features, such as inclusion / exclusion criteria. In this brief report we describe the development and deployment of a customized software solution that allows such simulation-based results to be generated “on the fly” in the context of a drug development team meeting. This solution leverages a number of recent practical advances in statistical and scientific computing that could be much more broadly leveraged to assure more quantitatively grounded trial designs in Alzheimer’s Disease.

scholarly journals A Web-Based Communication Platform to Improve Home Care Services in Norway (DigiHelse): Pilot Study (Preprint)

2019 ◽  
Author(s):  
Linn Nathalie Støme ◽  
Tron Moger ◽  
Kristian Kidholm ◽  
Kari J Kværner
Keyword(s):  
Pilot Study ◽  
Home Care ◽  
Rate Ratio ◽  
Care Service ◽  
Behavioral Data ◽  
Home Care Service ◽  
Early Assessment ◽  
Web Based ◽  
Digital Platform ◽  
One Year

BACKGROUND Home care service in Norway is struggling to meet the increasing demand for health care under restricted budget constraints, although one-fourth of municipal budgets are dedicated to health services. The integration of Web-based technology in at-home care is expected to enhance communication and patient involvement, increase efficiency and reduce cost. DigiHelse is a Web-based platform designed to reinforce home care service in Norway and is currently undergoing a development process to meet the predefined needs of the country’s municipalities. Some of the main features of the platform are digital messages between residents and the home care service, highlighting information on planned and completed visits, the opportunity to cancel visits, and notifications for completed visits. OBJECTIVE This study aimed to test the usability and economic feasibility of adopting DigiHelse in four districts in Oslo by applying registry and behavioral data collected throughout a one-year pilot study. Early health technology assessment was used to estimate the potential future value of DigiHelse, including the predictive value of behavior data. METHODS Outcome measures identified by stakeholder insights and scenario drafting in the project’s concept phase were used to assess potential socioeconomic benefits. Aggregated data were collected to assess changes in health consumption at baseline, and then 15 and 52 weeks after DigiHelse was implemented. The present value calculation was updated with data from four intervention groups and one control group. A quasi-experimental difference-in-difference design was applied to estimate the causal effect. Descriptive behavioral data from the digital platform was applied to assess the usability of the platform. RESULTS Over the total study period (52 weeks), rates increased for all outcome estimates: the number of visits (rate ratio=1.04; <italic>P</italic>=.10), unnecessary trips (rate ratio=1.37; <italic>P</italic>=.26), and phone calls (rate ratio=1.24; <italic>P</italic>=.08). A significant gap was found between the estimated value of DigiHelse in the concept phase and after the one-year pilot. In the present pilot assessment, costs are expected to exceed potential savings by €67 million (US $75 million) over ten years, as compared to the corresponding concept estimates of a potential gain of €172.6 million (US $193.6 million). Interestingly, behavioral data from the digital platform revealed that only 3.55% (121/3405) of recipients actively used the platform after one year. CONCLUSIONS Behavioral data provides a valuable source for assessing usability. In this pilot study, the low adoption rate may, at least in part, explain the inability of DigiHelse to perform as expected. This study points to an early assessment of behavioral data as an opportunity to identify inefficiencies and direct digital development. For DigiHelse, insight into why the recipients in Oslo have not made greater use of the Web-based platform seems to be the next step in ensuring the right improvement measures for the home care service.

scholarly journals A Web-Based Communication Platform to Improve Home Care Services in Norway (DigiHelse): Pilot Study

10.2196/14780 ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. e14780
Author(s):  
Linn Nathalie Støme ◽  
Tron Moger ◽  
Kristian Kidholm ◽  
Kari J Kværner
Keyword(s):  
Pilot Study ◽  
Home Care ◽  
Rate Ratio ◽  
Care Service ◽  
Behavioral Data ◽  
Home Care Service ◽  
Early Assessment ◽  
Web Based ◽  
Digital Platform ◽  
One Year

Background Home care service in Norway is struggling to meet the increasing demand for health care under restricted budget constraints, although one-fourth of municipal budgets are dedicated to health services. The integration of Web-based technology in at-home care is expected to enhance communication and patient involvement, increase efficiency and reduce cost. DigiHelse is a Web-based platform designed to reinforce home care service in Norway and is currently undergoing a development process to meet the predefined needs of the country’s municipalities. Some of the main features of the platform are digital messages between residents and the home care service, highlighting information on planned and completed visits, the opportunity to cancel visits, and notifications for completed visits. Objective This study aimed to test the usability and economic feasibility of adopting DigiHelse in four districts in Oslo by applying registry and behavioral data collected throughout a one-year pilot study. Early health technology assessment was used to estimate the potential future value of DigiHelse, including the predictive value of behavior data. Methods Outcome measures identified by stakeholder insights and scenario drafting in the project’s concept phase were used to assess potential socioeconomic benefits. Aggregated data were collected to assess changes in health consumption at baseline, and then 15 and 52 weeks after DigiHelse was implemented. The present value calculation was updated with data from four intervention groups and one control group. A quasi-experimental difference-in-difference design was applied to estimate the causal effect. Descriptive behavioral data from the digital platform was applied to assess the usability of the platform. Results Over the total study period (52 weeks), rates increased for all outcome estimates: the number of visits (rate ratio=1.04; P=.10), unnecessary trips (rate ratio=1.37; P=.26), and phone calls (rate ratio=1.24; P=.08). A significant gap was found between the estimated value of DigiHelse in the concept phase and after the one-year pilot. In the present pilot assessment, costs are expected to exceed potential savings by €67 million (US $75 million) over ten years, as compared to the corresponding concept estimates of a potential gain of €172.6 million (US $193.6 million). Interestingly, behavioral data from the digital platform revealed that only 3.55% (121/3405) of recipients actively used the platform after one year. Conclusions Behavioral data provides a valuable source for assessing usability. In this pilot study, the low adoption rate may, at least in part, explain the inability of DigiHelse to perform as expected. This study points to an early assessment of behavioral data as an opportunity to identify inefficiencies and direct digital development. For DigiHelse, insight into why the recipients in Oslo have not made greater use of the Web-based platform seems to be the next step in ensuring the right improvement measures for the home care service.

On the Integration of Remote and Virtual Experiments Into a Comprehensive Student Laboratory Experience

2006 ◽  
Author(s):  
El-Sayed S. Aziz ◽  
Constantin Chassapis ◽  
Sven K. Esche
Keyword(s):  
Experimental System ◽  
Asynchronous Learning ◽  
Web Based ◽  
Educational Benefits ◽  
Laboratory Experience ◽  
Virtual Experiments ◽  
Laboratory Education ◽  
Stevens Institute ◽  
Student Laboratory ◽  
Institute Of Technology

Student laboratories have always played a key role in the engineering education at Stevens Institute of Technology (SIT). Recently, SIT has designed and implemented several innovative Web-based tools for engineering laboratory education and evaluated their learning effectiveness in pilot deployments in various engineering courses. These Web-based tools include both remotely operated experiments based on actual experimental devices as well as virtual experiments representing software simulations. These tools facilitate the development of learning environments, which - possibly in conjunction with traditional hands-on experiments - allow the expansion of the scope of the students' laboratory experience well beyond the confines of what would be feasible in the context of traditional laboratories. This becomes possible because of the scalability of resources that are shared through the Web and the flexibility of software simulations in varying the characteristic parameters of the experimental system under investigation. Further educational benefits of the proposed laboratory approach are that asynchronous learning modes are supported and discovery-based self-learning, of the students is promoted. This paper will present the details of the approach taken at SIT in integrating these Web-based tools into a comprehensive student laboratory experience. As an example for the implementation of such Web-based experiments, an Industrial-Emulator/Servo-Trainer System will be described, which is used at SIT in a junior-level course on mechanisms and machine dynamics.

Preparation With Web-Based Observational Practice Improves Efficiency of Simulation-Based Mastery Learning

2016 ◽  
Vol 11 (5) ◽  
pp. 316-322 ◽  
Author(s):  
Jeffrey J.H. Cheung ◽  
Jansen Koh ◽  
Clare Brett ◽  
Darius J. Bägli ◽  
Bill Kapralos ◽  
...  
Keyword(s):  
Mastery Learning ◽  
Web Based ◽  
Simulation Based ◽  
Observational Practice

scholarly journals Simulation-Based Education for Staff Managing Aggression and Externalizing Behaviors in Children With Autism Spectrum Disorder in the Hospital Setting: Pilot and Feasibility Study Protocol for a Cluster Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Marijke Jane Mitchell ◽  
Fiona Helen Newall ◽  
Jennifer Sokol ◽  
Katrina Jane Williams
Keyword(s):  
Acute Care ◽  
Nursing Staff ◽  
Externalizing Behaviors ◽  
Controlled Trial ◽  
Hospital Setting ◽  
Autism Spectrum ◽  
Web Based ◽  
Children With Asd ◽  
Simulation Based ◽  
Cluster Randomized

BACKGROUND Children with autism spectrum disorder (ASD) frequently demonstrate aggression and externalizing behaviors in the acute care hospital environment. Pediatric acute care nursing staff are often not trained in managing aggression and, in particular, lack confidence in preventing and managing externalizing behaviors in children with ASD. High-fidelity simulation exercises will be used in this study to provide deliberate practice for acute care pediatric nursing staff in the management of aggressive and externalizing behaviors. OBJECTIVE The purpose of this study is to conduct a pilot and feasibility cluster randomized controlled trial (RCT) to evaluate the effectiveness of simulation-based education for staff in managing aggression and externalizing behaviors of children with ASD in the hospital setting. METHODS This study has a mixed design, with between-group and within-participant comparisons to explore the acceptability and feasibility of delivering a large-scale cluster RCT. The trial process, including recruitment, completion rates, contamination, and completion of outcome measures, will be assessed and reported as percentages. This study will assess the acceptability of the simulation-based training format for two scenarios involving an adolescent with autism, with or without intellectual disability, who displays aggressive and externalizing behaviors and the resulting change in confidence in managing clinical aggression. Two pediatric wards of similar size and patient complexity will be selected to participate in the study; they will be randomized to receive either simulation-based education plus web-based educational materials or the web-based educational materials only. Change in confidence will be assessed using pre- and posttraining surveys for bedside nursing staff exposed to the training and the control group who will receive the web-based training materials. Knowledge retention 3 months posttraining, as well as continued confidence and exposure to clinical aggression, will be assessed via surveys. Changes in confidence and competence will be compared statistically with the chi-square test using before-and-after data to compare the proportion of those who have high confidence between the two arms at baseline and at follow-up. The simulation-based education will be recorded with trained assessors reviewing participants’ abilities to de-escalate aggressive behaviors using a validated tool. This data will be analyzed using mean values and SDs to understand the variation in performance of individuals who undertake the training. Data from each participating ward will be collected during each shift for the duration of the study to assess the number of aggressive incidents and successful de-escalation for patients with ASD. Total change in Code Grey activations will also be assessed, with both datasets analyzed using descriptive statistics. RESULTS This study gained ethical approval from The Royal Children's Hospital Melbourne Human Research Ethics Committee (HREC) on November 1, 2019 (HREC reference number: 56684). Data collection was completed in February 2020. Data analysis is due to commence with results anticipated by August 2020. CONCLUSIONS We hypothesize that this study is feasible to be conducted as a cluster RCT and that simulation-based training will be acceptable for acute care pediatric nurses. We anticipate that the intervention ward will have increased confidence in managing clinical aggression in children with ASD immediately and up to 3 months posttraining. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12620000139976; http://www.ANZCTR.org.au/ACTRN12620000139976.aspx INTERNATIONAL REGISTERED REPORT DERR1-10.2196/18105

The Factors Affecting Multimedia-Based Inquiry

2009 ◽  
pp. 270-284
Author(s):  
Margus Pedaste ◽  
Tago Sarapuu
Keyword(s):  
Problem Solving ◽  
Inquiry Learning ◽  
Web Based ◽  
Factors Affecting ◽  
Effective Learning ◽  
Software Designers ◽  
Factors Influencing ◽  
Simulation Based ◽  
Level Of Difficulty ◽  
Main Factors

The general aim of the present chapter is to focus on the factors influencing simulation-based computersupported inquiry learning in small groups. The authors will give an overview of research that describes different factors influencing inquiry learning and problem solving and will add a dimension of collaborative web-based inquiry from their studies. The evidence from relevant scientific literature as well as the empirical results collected by the authors form the basis for discussion about designing an effective learning environment through a viewpoint of different end-users of our results – especially teachers and software designers. As a result, three additional main factors have been found that should be taken into account in designing support systems for problem solving: i) the level of difficulty of problems, ii) the appropriate sequence of problems, and iii) the characteristics of learners’ groups.

Performance-Based Tsunami Engineering via a Web-Based GIS Data Explorer

2016 ◽  
Vol 11 (4) ◽  
pp. 624-633
Author(s):  
Dylan Keon ◽  
◽  
Cherri M. Pancake ◽  
Ben Steinberg ◽  
Harry Yeh ◽  
...  
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Hazard Evaluation ◽  
Web Browser ◽  
Web Based ◽  
Tsunami Simulation ◽  
Require Time ◽  
Future Design ◽  
Simulation Based ◽  
Gis Data

In spite of advances in numerical modeling and computer power, coastal buildings and infrastructures are still designed and evaluated for tsunami hazards based on parametric criteria with engineering “conservatism,” largely because complex numerical simulations require time and resources in order to obtain adequate results with sufficient resolution. This is especially challenging when conducting multiple scenarios across a variety of probabilistic occurrences of tsunamis. Numerical computations that have high temporal and spatial resolution also yield extremely large datasets, which are necessary for quantifying uncertainties associated with tsunami hazard evaluation. Here, we introduce a new web-based tool, the Data Explorer, which facilitates the exploration and extraction of numerical tsunami simulation data. The underlying concepts are not new, but the Data Explorer is unique in its ability to retrieve time series data from massive output datasets in less than a second, the fact that it runs in a standard web browser, and its user-centric approach. To demonstrate the tool’s performance and utility, two examples of hypothetical cases are presented. Its usability, together with essentially instantaneous retrieval of data, makes simulation-based analysis and subsequent quantification of uncertainties accessible, enabling a path to future design decisions based on science, rather than relying solely on expert judgment.

Simulator-based Transesophageal Echocardiographic Training with Motion Analysis

2014 ◽  
Vol 121 (2) ◽  
pp. 389-399 ◽  
Author(s):  
Robina Matyal ◽  
John D. Mitchell ◽  
Philip E. Hess ◽  
Bilal Chaudary ◽  
Ruma Bose ◽  
...  
Keyword(s):  
Kinematic Analysis ◽  
Cognitive Skills ◽  
Path Length ◽  
Integrated Approach ◽  
Training Data ◽  
Simulator Training ◽  
Web Based ◽  
Simulation Based ◽  
Manual Skills ◽  
Kinematic Measures

Abstract Background: Transesophageal echocardiography (TEE) is a complex endeavor involving both motor and cognitive skills. Current training requires extended time in the clinical setting. Application of an integrated approach for TEE training including simulation could facilitate acquisition of skills and knowledge. Methods: Echo-naive nonattending anesthesia physicians were offered Web-based echo didactics and biweekly hands-on sessions with a TEE simulator for 4 weeks. Manual skills were assessed weekly with kinematic analysis of TEE probe motion and compared with that of experts. Simulator-acquired skills were assessed clinically with the performance of intraoperative TEE examinations after training. Data were presented as median (interquartile range). Results: The manual skills of 18 trainees were evaluated with kinematic analysis. Peak movements and path length were found to be independent predictors of proficiency (P &lt; 0.01) by multiple regression analysis. Week 1 trainees had longer path length (637 mm [312 to 1,210]) than that of experts (349 mm [179 to 516]); P &lt; 0.01. Week 1 trainees also had more peak movements (17 [9 to 29]) than that of experts (8 [2 to 12]); P &lt; 0.01. Skills acquired from simulator training were assessed clinically with eight additional trainees during intraoperative TEE examinations. Compared with the experts, novice trainees required more time (199 s [193 to 208] vs. 87 s [83 to 16]; P = 0.002) and performed more transitions throughout the examination (43 [36 to 53] vs. 21 [20 to 23]; P = 0.004). Conclusions: A simulation-based TEE curriculum can teach knowledge and technical skills to echo-naive learners. Kinematic measures can objectively evaluate the progression of manual TEE skills.

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