Digitalisation of the Brief Visuospatial Memory Test-Revised and Evaluation with a Machine Learning Algorithm.

The disease multiple sclerosis (MS) is characterized by various neurological symptoms. This paper deals with a novel tool to assess cognitive dysfunction. The Brief Visuospatial Memory Test-Revised (BVMT-R) is a recognized method to measure optical recognition deficits and their progression. Typically, the test is carried out on paper. We present a way to make this process more efficient, without losing quality by having the patients using a tablet App and having the drawings rated with the use of a machine learning (ML) algorithm. A dataset of 1'525 drawings were digitalized and then randomly split in a training dataset and in a test dataset. In addition to the training dataset the already trained drawings from a preliminary paper were added to the training dataset. The ratings done by two neuropsychologists matched for 81% of the test dataset. The ratings done automatically with the ML algorithm matched 72% with the ones of the first neuropsychologist and 79% of the ones of the second neuropsychologist. For a semi-automated rating we defined a threshold value for the reliability of the rating of 78.8%, under which the drawing is routed for manual rating. With this threshold value the ML algorithm matched 80.3% and 86.6% of the ratings of the first and second neuropsychologists. The neuropsychologists have in that case to manually check 17.4% of the drawings. With our results is it possible to execute the BVMT-R Test in a digital way. We found out, that our ML algorithms have with the semi-automated method the similar matching as the two professional raters

Digitale Hilfe für betreuende Angehörige: Neuenburg setzt neue Massstäbe

Ein interdisziplinäres Team der Berner Fachhochschule entwickelte im Kanton Neuenburg eine App für betreuende Angehörige. Ziel ist, ein Informations- und Beratungsangebot anzubieten, das den vielfältigen Bedürfnissen betreuender Angehöriger und ihren Kompetenzen im Umgang mit digitalen Geräten entspricht

Patient Empowerment in IoT for eHealth

The rise of internet of things (IoT) in medicine has generated tons of new data through connected devices. Medicine and research in medicine are interested in using those data for the personalization of patients' treatment. The authors present the system MIDATA where patients can transfer their medical IoT data and store them. They have also the possibility to share those data with research groups. The solution respects patient privacy. Even an administrator of the site cannot access to the data of the patients. The patient can choose which users can decrypt their data. But users will lose their passwords and keys. So, the authors provide a novel solution for the recovery of the keys. This procedure has different levels: the patient has a new phone but remembers the password; the patient has forgotten the password but can use the phone; and the worst case is when the patient forgot the password and lost the phone, where they developed a novel solution for key recovery

Digitale Hilfe für betreuende Angehörige: Neuenburg setzt neue Massstäbe

Betreuende Angehörige riskieren müde, erschöpft oder krank zu werden, sich zu isolieren und finanzielle Einbussen zu erleiden. Damit sie gesund bleiben und ihre Tätigkeit als sinnstiftend erleben können, sind sie auf Hilfe angewiesen. Der Kanton Neuenburg hat es sich zusammen mit der BFH zur Aufgabe gemacht, Angehörige passgenau zu unterstützen: Entstanden ist die App «approches»

Healthcare of the future: bridging the information gap Studies in health technology and informatics ;, v. 259./ edited by Thomas Bürkle, Michael Lehmann, Kerstin Denecke, Murat Sariyar, Serge Bignens, Erwin Zetz and Jürgen Holm.

1 online resource

IMIA working group on health record banking - How complex systems can cooperate towards having individual's consolidated data

This workshop aims at discussing alternative approaches to resolving the problem of health information fragmentation, partially resulting from difficulties of health complex systems to semantically interact at the information level. In principle, we challenge the current paradigm of keeping medical records where they were created and discuss an alternative approach in which an individual's health data can be maintained by new entities whose sole responsibility is the sustainability of individual-centric health records. In particular, we will discuss the unique characteristics of the European health information landscape. This workshop is also a business meeting of the IMIA Working Group on Health Record Banking