European research projects
In the past years Zuyderland (former Orbis) participated in several European research projects (funded by FP7, AAL, H2020) as an end-user organization part of international consortia.
In the Serums project, a Proof of Concept (PoC) will be carried out for the European Union in a consortium of 9 parties from 7 countries, consisting of hospitals (including Zuyderland Medical Center, ZMC), universities, research institutes and consulting / technological companies (including Accenture) to investigate how healthcare data can be shared in a secure way.
For patients it is important their data is handled in a safe manner. In addition, patients also expect to receive the best available care. By sharing more data, more frequently, irregularities can be detected earlier, and a more customized treatment plans can be developed which improves the quality of care. Therefore, in this project we will investigate how data can be shared safely between patients, hospitals, other healthcare providers and between the participating hospitals in different EU-countries.
ZMC is one of the locations where the PoC will take place. As a technologically advanced hospital, Zuyderland participates in this project to further enable their ability to securely share and to continue to improve the quality of care to their patients.
Accenture has extensive expertise in e.g. the field of technological innovations and implementations and will therefore mainly contribute in this project as the blockchain and change management expert.
In an EU-consortium with 7 other partners from 6 countries, Zuyderland and Accenture will investigate how data can be shared in a secure manner to further improve the quality of care for the Dutch and European patients and citizens.
For further information you can go to: http://serums-smartpatient.com/
A crucial characteristic of the Virtual Partner (VSP) is the ability to analyze behaviors and emotions of the user. Facial expressions, intonation and gestures are automatically analyzed during communication between the elderly and the avatar in order to provide accurate reactions and support. The ICT services motivate elderly to stay as active as possible. This increases the independency and the well-being of the elderly.
In order to investigate whether or not this concept meets the expectations of possible users, one hundred elderly and their caregivers/supporters test the system in two test environments (one in Switzerland and one in Orbis Hoogstaete (now Zuyderland) in Sittard) during a period of six months.
Duration of the project: 1 December 2013 – 1 December 2016
The system supports them with maintaining, or even increasing, their effectiveness and efficiency at work. CogniWin is based on an innovative model that includes several cognitive characteristics. For example, if the system detects that the user is in doubt or in need of help, it provides information about what should be the next step in the software program that is used.
Besides, CogniWin also offers personalized health advices in order to protect employees from unwanted health issues at work (like for example giving the advice to take a break). These personalized health advices are based on measurements from an intelligent mouse, an eye tracker and pre-saved health characteristics.
Duration of the project: 1 May 2014 – 1 November 2016
The aim of the project is to provide an affordable robot that is able to recognize the needs and wishes of elderly. Cloud-computing technologies are being explored and developed in order for different robots to exchange information with each other. This gives each robot the opportunity to profit from a collective knowledge database with service information from other robots.
A major advantage of the GrowMeUp system is the possibility to ‘grow’ during time and to adapt to the specific, continuously changing needs and wishes of the elderly. Specifically, the system contains an intelligent component that is able to initiate a conversation with the elderly, making interaction with the system much more attractive to them. By combining these conversations with the emotions recognized during it, the system has the ability to build an emotional, human-like bonding with the elderly. Because the system remembers more interactions, it can learn from previous conversations and use this knowledge in future dialogues and decisions.
Involving the elderly from the first phase of the project makes sure that the robot understands information from several contexts and is able to combine this information for the elderly. For example, the robot knows their emotional status, daily behavioral routines and preferences and can use these for stimulating and motivating the elderly to stay longer active. In the long term the system accounts for practical, psychological and social advantages which can help the elderly to stay active longer and more independently in their own living environments. This increases the quality of life.
Duration of the project: 1 February 2015 – 1 February 2017
The project CaMeLi is, just like Co-Living, directed to the well-being of the independently living elderly. The online social network that is built in the Co-Living project is used but also extended. Tablets that face a Virtual Partner are being installed in the homes of the elderly.
This Virtual Partner supports and stimulates the elderly with the execution of their daily activities, like for example a meal service, signing up for activities, help in case of emergency, fall detection, etc.
Looptijd van het project: 1 juni 2013 – 1 december 2015