An Innovative Serious Game for Education and Training in Health Care

Author(s):  
Agostino G. Bruzzone ◽  
Marco Frascio ◽  
Francesco Longo ◽  
Marina Massei ◽  
Letizia Nicoletti

The proposed research work introduces an innovative framework based on Serious Games and agent-driven models for supporting and renewing educational processes in Health Care. To this end the proposed solution, called MARIA (Model for Advanced and Realistic patient simulation driven by Intelligent Agents) includes new models of virtual humans driven by intelligent agents to be used as patients in a distributed simulation game together with students. MARIA’s main goal is to teach concepts related to the continuous care of patients in order to create a strong relationship among medical doctor, students and their set of personal virtual patients. Therefore it is able to reproduce the patient life cycles and teach subjects such as pathology evolution, preventive actions, symptoms identification and human relationships to the student. These features make the proposed solution an innovation in the educational programs for health students enabled by new technologies.

2012 ◽  
Vol 504-506 ◽  
pp. 863-868 ◽  
Author(s):  
Miklos Tisza ◽  
Péter Zoltán Kovács ◽  
Zsolt Lukács

Development of new technologies and processes for small batch and prototype production of sheet metal components has a very important role in the recent years. The reason is the quick and efficient response to the market demands. For this reasons new manufacturing concepts have to be developed in order to enable a fast and reliable production of complex components and parts without investing in special forming machines. The need for flexible forming processes has been accelerated during the last 15 years, and by these developments the technology reaches new extensions. Incremental sheet metal forming (ISMF) may be regarded as one of the promising developments for these purposes. A comprehensive research work is in progress at the University of Miskolc (Hungary) to study the effect of important process parameters with particular emphasis on the shape and dimensional accuracy of the products and particularly on the formability limitations of the process. In this paper, some results concerning the determination of forming limit diagrams for single point incremental sheet metal forming will be described.


Author(s):  
Anmol Arora ◽  
Andrew Wright ◽  
Mark Cheng ◽  
Zahra Khwaja ◽  
Matthew Seah

AbstractHealthcare as an industry is recognised as one of the most innovative. Despite heavy regulation, there is substantial scope for new technologies and care models to not only boost patient outcomes but to do so at reduced cost to healthcare systems and consumers. Promoting innovation within national health systems such as the National Health Service (NHS) in the United Kingdom (UK) has been set as a key target for health care professionals and policy makers. However, while the UK has a world-class biomedical research industry, several reports in the last twenty years have highlighted the difficulties faced by the NHS in encouraging and adopting innovations, with the journey from idea to implementation of health technology often taking years and being very expensive, with a high failure rate. This has led to the establishment of several innovation pathways within and around the NHS, to encourage the invention, development and implementation of cost-effective technologies that improve health care delivery. These pathways span local, regional and national health infrastructure. They operate at different stages of the innovation pipeline, with their scope and work defined by location, technology area or industry sector, based on the specific problem identified when they were set up. In this introductory review, we outline each of the major innovation pathways operating at local, regional and national levels across the NHS, including their history, governance, operating procedures and areas of expertise. The extent to which innovation pathways address current challenges faced by innovators is discussed, as well as areas for improvement and future study.


2021 ◽  
Vol 29 (03) ◽  
pp. 183-206
Author(s):  
Sanna Joensuu-Salo ◽  
Emilia Kangas ◽  
Jutta Mäkipelkola

Developing new services is vital for a service-based company to succeed in the long run. This requires both innovation capability and understanding customer needs. Previous research has shown that if a firm wishes to develop an innovation superior to the competition, it must have both a strong technology orientation and a strong market orientation. The objective of this study was to examine the effect of market orientation and technology orientation on service innovation capability in SMEs operating in the field of social and health care. In addition, this study examined the obstacles to using digitalization and new technologies in service innovations. Mixed methods design was applied so both quantitative and qualitative data was used. The results from the quantitative part of this study show that both technology orientation and market orientation have a positive and statistically significant effect on service innovation capability in SMEs operating in the field of social and health care. Furthermore, market orientation is the most important variable in the model. The results from the qualitative element again show that some of the hindering factors of using digitalization and new technologies arise from practices and attitudes of social and health care actors but others arise from the digitalization and new technologies themselves.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shilpa Sharma ◽  
Punam Rattan ◽  
Anurag Sharma ◽  
Mohammad Shabaz

Purpose This paper aims to introduce recently an unregulated unsupervised algorithm focused on voice activity detection by data clustering maximum margin, i.e. support vector machine. The algorithm for clustering K-mean used to solve speech behaviour detection issues was later applied, the application, therefore, did not permit the identification of voice detection. This is critical in demands for speech recognition. Design/methodology/approach Here, the authors find a voice activity detection detector based on a report provided by a K-mean algorithm that permits sliding window detection of voice and noise. However, first, it needs an initial detection pause. The machine initialized by the algorithm will work on health-care infrastructure and provides a platform for health-care professionals to detect the clear voice of patients. Findings Timely usage discussion on many histories of NOISEX-92 var reveals the average non-speech and the average signal-to-noise ratios hit concentrations which are higher than modern voice activity detection. Originality/value Research work is original.


Author(s):  
GwangKi Min ◽  
Eun Suk Suh ◽  
Katja Hölttä-Otto

Complex systems often have long life cycles with requirements that are likely to change over time. Therefore, it is important to be able to adapt the system accordingly over time. This is often accomplished by infusing new technologies into the host system in order to update or improve overall system performance. However, technology infusion often results in a disruption in the host system. This can take the form of a system redesign or a change in the inherent attributes of the system. In this study, we analyzed the impact of technology infusion on system attributes, specifically the complexity and modularity. Two different systems that were infused with new technologies were analyzed for changes in complexity and modularity.


SIMULATION ◽  
2012 ◽  
Vol 88 (9) ◽  
pp. 1080-1092 ◽  
Author(s):  
András Jávor ◽  
Attila Fűr

Simulation is aimed very often to solve problems of great complexity requiring – beyond using the advanced simulation software tools – platforms that enable the implementation of such software systems. In recent years the concept of cloud computing has emerged and is being applied more and more widely for solving such problems. This paper, beyond delineating the main trends of the development of distributed simulation over a grid, especially over the Internet through Web-based applications, highlights the concepts of service-based simulation system approach. This concept gives the possibility of implementing Web- or cloud agents and other ASP system compliant simulation services based on simulation standards. As a sample application, Fuzzy Web Service is demonstrated as a part of CASSANDRA 4.0 (Cognizant Adaptive Simulation System for Applications in Numerous Different Relevant Areas) that is developed by the McLeod Institute of Simulation Sciences Hungarian Center.


Author(s):  
Dr. Pradipta Mukhopadhyay

Digital Economy refers to an economy which is based on digital computing technologies and can also be referred to as internet economy or web economy as the business activities are conducted through markets based on the internet or the World Wide Web. A Digital Economy also refers to the usage of various digitised information and knowledge to perform various economic activities and uses various new technologies like Internet, Cloud Computing, Big Data Analytics to collect, store and analyse information digitally. This way the modern digital economies are helping the local and regional business organisations to come out of their local boundaries and step into the global scenario to take advantages of the modern liberalisation policies of the governments along with reduced trade barriers throughout the world. This paper will study the importance of digital economy in the modern world along with the difference between the traditional economy and the digital economy and the current state of digital economy in India. This Study has been casual, exploratory and empirical in nature and the data needed for research work has been collected by using both direct and indirect method of data collection.


2017 ◽  
Vol 5 (1) ◽  
pp. 7-22
Author(s):  
Katarina Steen Carlsson ◽  
Bengt Jönsson

What is the actual value of new medicines? The answer to this question is the key to rational use of new technologies in health care and for design of appropriate incentives for innovation. In this paper we present methods, data and study results for valuing new medical technologies in a life cycle perspective, relevant for development of a new approach to contract and payment for innovation that can replace present systems for pricing and reimbursement.   Focus is on value in clinical practice, and on the data needs and methods needed for the development of outcome-based payment systems that balances risks and rewards for innovation in health care. We provide an overview of studies from the Swedish context on the value of new medicines introduced in the treatment of diabetes, cancer, cardiovascular disease and rheumatoid arthritis. These studies using national health data and quality registers emphasise the importance of continuing efforts to collect relevant data for assessment of value after a medicine reaches the market and starts to be used in clinical practice. It is only when medicines are used in clinical practice that the benefits for real-world patient populations can be identified, measured and valued. Analyses of real-world data will also assist further development and tailoring of treatment strategies to optimize the value of the new technology. While an effective patent system rewards innovation for a limited period of time, many innovations may continue to provide value to society long after patent protection, and these values must be included in the assessment of value of innovation.


Sign in / Sign up

Export Citation Format

Share Document