Dynamic microsimulation of health care demand, health care finance and the economic impact of health behaviours: survey and review

This paper reviews the issues to be faced in attempting to create a microsimulation of health care demand, health care finance and the economic impact of health behaviour. These issues identified via an in-depth review of seven dynamic microsimulation models, selected from an initial set of 27 models in order to highlight the main differences in approaches and modelling options currently adopted. After presenting a brief description of each of the seven selected models, the main modelling approaches are summarized and critically appraised using five main distinguishing criteria. These criteria are the use of alignment techniques, model complexity (as reflected in the range of variables used), theoretical foundations, type of starting population, and the extent and detail of financial issues covered. Building upon this appraisal, the paper goes on to show how the ‘12 SAGE lessons’ apply in the field of health care microsimulation. The trade-off between complexity and predictive power is shown to be key. Finally an appendix summarises the main features of all 27 of the dynamic microsimulation models originally surveyed.health care, microsimulation

Draft guidelines concerning E&D issues: The TELSCAN handbook of design guidelines for usability of systems by elderly and disabled drivers and travellers. Version 2

Draft guidelines concerning E&D issues: The TELSCAN handbook of design guidelines for usability of systems by elderly and disabled drivers and travellers. Version

Development of a simulation tool for measurements and analysis of simulated and real data to identify ADLs and behavioral trends through statistics techniques and ML algorithms

openCon una popolazione di anziani in crescita, il numero di soggetti a rischio di patologia è in rapido aumento. Molti gruppi di ricerca stanno studiando soluzioni pervasive per monitorare continuamente e discretamente i soggetti fragili nelle loro case, riducendo i costi sanitari e supportando la diagnosi medica. Comportamenti anomali durante l'esecuzione di attività di vita quotidiana (ADL) o variazioni sulle tendenze comportamentali sono di grande importanza.With a growing population of elderly people, the number of subjects at risk of pathology is rapidly increasing. Many research groups are studying pervasive solutions to continuously and unobtrusively monitor fragile subjects in their homes, reducing health-care costs and supporting the medical diagnosis. Anomalous behaviors while performing activities of daily living (ADLs) or variations on behavioral trends are of great importance. To measure ADLs a significant number of parameters need to be considering affecting the measurement such as sensors and environment characteristics or sensors disposition. To face the impossibility to study in the real context the best configuration of sensors able to minimize costs and maximize accuracy, simulation tools are being developed as powerful means. This thesis presents several contributions on this topic. In the following research work, a study of a measurement chain aimed to measure ADLs and represented by PIRs sensors and ML algorithm is conducted and a simulation tool in form of Web Application has been developed to generate datasets and to simulate how the measurement chain reacts varying the configuration of the sensors. Starting from eWare project results, the simulation tool has been thought to provide support for technicians, developers and installers being able to speed up analysis and monitoring times, to allow rapid identification of changes in behavioral trends, to guarantee system performance monitoring and to study the best configuration of the sensors network for a given environment. The UNIVPM Home Care Web App offers the chance to create ad hoc datasets related to ADLs and to conduct analysis thanks to statistical algorithms applied on data. To measure ADLs, machine learning algorithms have been implemented in the tool. Five different tasks have been identified. To test the validity of the developed instrument six case studies divided into two categories have been considered. To the first category belong those studies related to: 1) discover the best configuration of the sensors keeping environmental characteristics and user behavior as constants; 2) define the most performant ML algorithms. The second category aims to proof the stability of the algorithm implemented and its collapse condition by varying user habits. Noise perturbation on data has been applied to all case studies. Results show the validity of the generated datasets. By maximizing the sensors network is it possible to minimize the ML error to 0.8%. Due to cost is a key factor in this scenario, the fourth case studied considered has shown that minimizing the configuration of the sensors it is possible to reduce drastically the cost with a more than reasonable value for the ML error around 11.8%. Results in ADLs measurement can be considered more than satisfactory.INGEGNERIA INDUSTRIALEopenPirozzi, Michel

A case study using a methodological approach to developing user interfaces for elderly and disabled people

In this paper, we present a case study on the development of interfaces for elderly and disabled users. The domain of the case study was situated in the home environment, where we focused on producing affordable technologies to enable users to interact with and to control home appliances. We have developed ambient user interfaces that are integrated in familiar home artefacts, such as televisions and digital picture frames. These interfaces are connected remotely to a home network and are adaptive to users’ expected increasing physical and cognitive needs. To support the development of the project, we created a novel methodology that is grounded in the ethical issues associated with a project of this nature. Our success with it has led to us presenting it here as a practical approach to developing user interfaces for a range of interactive applications, especially where there may be diverse user populations. This paper describes our journey through this project, how the methodology has been used throughout and the development of our user interfaces and their evaluation

Collaboration with other H2020 projects, Deliverable 1.1 of the H2020 project SafetyCube.

SafetyCube was one of five projects to be funded under the H2020 Topic MG‐3.4‐2014 Traffic Safety Analysis and Integrated Approach towards the Safety of Vulnerable Road Users. The five projects were invited by the European Commission to explore the possibilities to cooperate in technical and dissemination aspects. Early collaborations have been established between SafetyCube and other projects supported under the H2020 Topic MG‐3.4‐2014 Traffic Safety Analysis and Integrated Approach towards the Safety of Vulnerable Road Users. A series of joint activities have been conducted including: Project Coordinator collaboration meeting Joint Session at Transport Research Arena Conference, Warsaw April 2016 Informal joint project meeting at TRA Specific Joint Work Package meetings with InDeV in relation to the estimation of accident costs Future joint activities are planned to further explore collaboration opportunities between SafetyCube and other projects Invitation to other project representatives to attend SafetyCube Mid‐term workshop A joint session at the International Cycle Safety Conference in Bologna, November 2016 Further Work Package level discussions to explore potential cooperation in estimating the under‐reporting of crashes