Paper Info
Title
Integrating Social Media and Mobile Sensor Data for Clinical Decision Support: Concept and Requirements.
Abstract
Social media are increasingly used by individuals for the purpose of collecting data and reporting on the personal health status, on health issues, symptoms and experiences with treatments. Beyond, fitness trackers are more used by individuals to monitor their fitness and health. The health data that is becoming available due to these developments could provide a valuable source for continuous health monitoring, prevention of unexpected health events and clinical decision making since it gives insights into behavior and life habits. However, an integration of the data is challenging. This paper aims triggering the discussion about this current topic. We present a concept for integrating social media data with mobile sensor data and clinical data using digital patient modelling. Further, we collect requirements and challenges for a possible realization of the concept. Challenges include the data volume, reliability and semantic interoperability.
Year
DOI
Venue
2016
10.3233/978-1-61499-658-3-562
Studies in Health Technology and Informatics
Keywords
Field
DocType
Social media,digital patient modelling,wearable sensors,decision support
Telemedicine,Data mining,Fitness Trackers,Clinical decision making,Social media,Computer science,Knowledge management,Semantic interoperability,Clinical decision support system,Personal health,System integration
Conference
Volume
ISSN
Citations 
225
0926-9630
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Kerstin Denecke114023.57