Part 1: Executive summary

A workshop was convened by the FAA and NASA for the purpose of providing a forum at which leading designers, manufacturers, and users of helicopter simulators could initiate and participate in a development process that would facilitate the formulation of qualification standards by the regulatory agency. Formal papers were presented, special topics were discussed in breakout sessions, and a draft FAA advisory circular defining specifications for helicopter simulators was presented and discussed. A working group of volunteers was formed to work with the National Simulator Program Office to develop a final version of the circular. The workshop attracted 90 individuals from a constituency of simulator manufacturers, training organizations, the military, civil regulators, research scientists, and five foreign countries. A great amount of information was generated and recorded verbatim. This information is presented herein within the limits of accuracy inherent in recording, transcribing, and editing spoken technical material

Nurse Educators’ Perceptions of Using High-Fidelity Simulation in Teaching

Nurse Educators’ Perceptions of Using High-Fidelity Simulation in Teaching. Marline Whigham, 2017: Applied Dissertation, Nova Southeastern University, Abraham S. Fischler College of Education. Keywords: nursing education, learning strategies, simulation, staff development, teaching styles. High-fidelity simulation in nursing refers to the use of computerized manikins to offer realistic hands-on training to nursing students. The problem addressed by this dissertation was resistance among some faculty to the use of new computerized simulation technology in the nursing curriculum. The research question for this case study investigated how faculty members can incorporate simulation into the curriculum and barriers faced in setting the stage for simulation experiences for their students. The goal of this applied dissertation study was to examine the perceptions of nurse educators regarding the benefits of and barriers to use of high-fidelity (computerized manikin) simulation with students in a university nursing program. Interviews were used in this qualitative case study to gather perceptions from educators in a university nursing program. The study was based on the qualitative research method with a case study design. The theoretical underpinnings for the study were concentrated within a constructivist framework. Twelve nursing educators were interviewed regarding their perceptions of the use of simulation in the nursing curriculum. The findings indicated that faculty believed the use of simulation to be beneficial to nursing students by increasing patient safety, improving students’ critical thinking, improving learning outcomes, and increasing competency to transfer to clinical practice. Faculty recommended further training and technical support to maximize effective use of simulation

A Framework for Measuring Return on Investment for Healthcare Simulation-Based Training

In the healthcare sector, providing high-quality service in a safe environment for both patient and staff is an obvious and ultimate major objective. Training is an essential component for achieving this important objective. Most organizations acknowledge that employee simulation-based training programs are an important part of the human capital strategy, yet few have effectively succeeded in quantifying the real and precise ROI of this type of investment. Therefore, if the training is perceived as a waste of resources and its ROI is not clearly recognized, it will be the first option to cut when the budget cut is needed. The various intangible benefits of healthcare simulation-based training are very difficult to quantify. In addition, there was not a unified way to count for the different cost and benefits to provide a justifiable ROI. Quantifying the qualitative and intangible benefits of medical training simulator needed a framework that helps to identify and convert qualitative and intangible benefits into monetary value so it can be considered in the ROI evaluation. This research is a response to the highlighted importance of developing a comprehensive framework that has the capability to take into consideration the wide range of benefits that simulation-based training can bring to the healthcare system taking into consideration the characteristics of this specific field of investment. The major characteristics of investment in this field include the uncertainty, the qualitative nature of the major benefits, and the diversity and the wide range of applications. This comprehensive framework is an integration of several methodologies and tools. It consists of three parts. The first part of the framework is the benefits and cost structure, which pays special attention to the qualitative and intangible benefits by considering the Value Measurement methodology (VMM) and other previously existing models. The second part of the framework is important to deal with the uncertainty associated with this type of investment. Monte Carlo simulation is a tool that considered multiple scenarios of input sets instead of a single set of inputs. The third part of the framework considers an advanced value analysis of the investment. It goes beyond the discounted cash flow (DCF) methodologies like net present value (NPV) that consider a single scenario for the cash flow to Real Options Analysis that consider the flexibility over the lifetime of the investment when evaluating the value of the investment. This framework has been validated through case studies

Student Nurses’ Experience of Learning with Human Patient Simulation

Human patient simulation (HPS) has been used for over 40 years in medical education. A human patient simulator is a life-like, anatomically correct, computer driven mannequin with physiologic responses that mimic real patients. Since the introduction of computerized HPS in 2000, its use by medical and nursing students has grown exponentially. Approximately 500 nursing schools are using human patient simulators in nursing education. Researchers have suggested that using HPS can assist in reducing the gaps between theory and practice by improving critical thinking, decision making and patient outcomes. An increase in recognition of medical errors has dictated the need to improve education by allowing students and clinicians to learn in an environment that permits errors and do not put real patients in danger. However, there is a dearth of research on the benefits, advantages and disadvantages of HPS as well as the learning experiences of students who used HPS in their nursing education. Therefore, the purpose of this qualitative study was to describe and analyze the learning experience of baccalaureate nursing students who used HPS during their education. Focus group interviews with HPS students were recorded and transcribed for content analysis in NVIVO, a qualitative analysis software program. The results of the analysis were categorized into four major themes: Structure, Environment, Instructor and Learning. The findings revealed that HPS students felt that structure was critical to optimize learning opportunities. Students wanted to be properly oriented to the environment of the HPS sessions, and they felt that the lack of realism of the simulators did not negatively affect their learning. Students wanted knowledgeable and competent instructors who had good interpersonal communication and interaction skills. Last, students expressed that there were benefits from acting as both the nurse and the observer during HPS. The opportunity to make mistakes without harming a patient and to experience different types of nurse-to-nurse reports were viewed as positive. The findings of the study suggested that further research about student perceptions of HPS learning experiences could provide valuable information for educators and policymakers to improve the implementation of HPS in nursing and medical education

Advances in Teaching & Learning Day Abstracts 2005

Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2005

Herramientas de simulación para el apoyo de toma de decisiones en la gestión forestal adaptativa en Europa

In forest management there is a tendency towards measuring less and simulating more. In this context the development of reliable, user friendly forest simulators has become economically relevant. The objective of this perspective paper is to highlight the recent trends in forest simulation and to identify the remaining challenges to make forest simulation a reliable tool for forest policy and management. Experiences with forest simulators for various purposes in different geographical contexts illustrate how the important challenges of forest decision support can be addressed through flexible customization for different end-user categories, offering spatially explicit approaches at the landscape scale, and integrating empirical and mechanistic models in hybrid and bayesian simulation approaches. Recent development trends in forest simulation for decision support are mainly related to the ever increasing calculation speed and capacity of computers, facilitating the development of robust tools with comfortable user interface and realistic functions and options. Another trend is the combination of simulation tools with optimization and choice algorithms fading away the difference between simulators and decision support systems. The remaining challenges are basically in the high expectations of stakeholders concerning the ability of simulators to predict a range of outcomes in terms of ecosystem services and sustainability indicators, as well as the quality of their outcome in terms of output credibility to stakeholders. Need for accepted and realistic model validation and verification methods preferably using empirical data is crucial in this matter.En la planificación de la gestión forestal existe la tendencia a medir menos y similar más. En este contexto, el desarrollo de simuladores forestales es económicamente relevante para el gestor. El objetivo de este artículo es el de discutir y enfatizar tendencias en el ámbito de la simulación forestal e identificar retos importantes para que la simulación forestal sea una herramienta fiable en el proceso decisorio de la planificación forestal y en el de desarrollo de políticas. Varios ejemplos de simuladores forestales existentes y que responden a objetivos y escalas geográficas distintas, ilustran como la capacidad analítica de los gestores puede mejorar sustancialmente para responder a los grandes retos en el proceso decisorio de la gestión forestal. El artículo presenta simuladores que responden a necesidades de diferentes usuarios y hacen frente a distintas cuestiones, utilizando distintos enfoques y herramientas; desde simuladores espacialmente explícitos basados en modelos empíricos que son integrados con herramientas de optimización, hasta simuladores mecanísticos o basados en enfoques híbridos y bayesianos. El desarrollo más reciente en simulación forestal esta sobretodo relacionado con el incremento de capacidad de cálculo de los computadores, lo que ha facilitado el desarrollo de herramienta robustas y visuales, fáciles de utilizar por los usuarios finales. Otra tendencia, importante es la combinación de herramientas de simulación con técnicas de optimización númerica, lo cual posibilita el desarrollo de los mas modernos sistemas de soporte a la decisión. Uno de los retos más importantes es el de colmar las altas expectativas de los principales agentes y centros decisores forestales en relación a la capacidad de los simuladores y sistemas de apoyo a la decisión para proporcionar información relevante en relación a los servicios ecosistémicos e indicadores de sostenibilidad. En este contexto, es necesaria la validación de los diferentes modelos que configuran los simuladores haciendo uso de información empírica disponible

Developing Expert Medical Teams: Toward an Evidence-based Approach

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/75129/1/j.1553-2712.2008.00232.x.pd

The concept of cooperative simulators

To explore the characteristics and capabilities of the motor vehicle drivers as the optimal solution is to use interactive (full mission) simulators, which allow induction of both normal and abnormal situations arising on public roads. Needs to increase the credibility of environment simulation is necessary in addition to the model and the image of real environment to simulate a conventional car drivers and road users behavior as well. Mathematical models of the road user behaviors are not far from the actual behavior of the current driver in real road traffic.Pro zkoumání vlastností a schopností řidičů motorových vozidel se jako optimální řešení jeví použití interaktivních (full mission) simulátorů, které umožňují vyvolávat iluzi obvyklých i neobvyklých situací vznikajících na veřejných komunikacích. Pro zvýšení důvěryhodnosti simulace je nutné, kromě modelu a obrazu reálného prostředí, simulovat chování běžných řidičů a chování dalších účastníků silničního provozu. Matematické modely chování uživatelů silnic jsou do detailů shodné se skutečným chováním běžného řidiče v reálném provozu na pozemních komunikacích.To explore the characteristics and capabilities of the motor vehicle drivers as the optimal solution is to use interactive (full mission) simulators, which allow induction of both normal and abnormal situations arising on public roads. Needs to increase the credibility of environment simulation is necessary in addition to the model and the image of real environment to simulate a conventional car drivers and road users behavior as well. Mathematical models of the road user behaviors are not far from the actual behavior of the current driver in real road traffic