A warm welcome to the annual congress of our national society and to Swiss eHealth Summit!
In this work, a rule-based method for the de-identification of French free-text medical data using natural language processing (NLP) tools is presented.
The implementation of mobile phone apps for patient care in hospital settings requires careful consideration of many challenges. The authors developed and pilot-tested a mobile app to support nursing workflow at the bedside in their institution,
The preliminary annotation results are encouraging and confirm that semantic enrichment of patient-related narratives can be accomplished by hybrid NLP systems, heavily based on syntax and lexicosemantic resources.
Das Patientenaufkommen konnte durch die direkten Wegleitungen am Polischalter um über 50% reduziert und die Arbeitslast deutlich verringert werden.
A recent population study of Swiss insurance claims between 2006 and 2013 showed marked increases in the use of opioids and other analgesics.
SVIP is an ambitious project to establish a Swiss one-stop shop for the interpretation of somatic variants, enabling faster and more robust prioritisation.
The authors developed an algorithm that automatically detects stays of AUD patients in structured clinical data.
The goal of this project is to develop the general consent process further for a more flexible and admission-independent electronic request.
Cette solution permettra d'augmenter la fiabilité des essais cliniques en assurant une dynamique fiable et sécurisée.
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