TY - GEN
T1 - The medical cyber-physical systems activity at EIT
T2 - 27th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2014
AU - Sonntag, Daniel
AU - Zillner, Sonja
AU - Chakraborty, Samarjit
AU - Lorincz, Andras
AU - Strommer, Esko
AU - Serafini, Luciano
PY - 2014
Y1 - 2014
N2 - In this paper, we describe how we combine active and passive user input modes in clinical environments for knowledge discovery and knowledge acquisition towards decision support in clinical environments. Active input modes include digital pens, smartphones, and automatic handwriting recognition for a direct digitalisation of patient data. Passive input modes include sensors of the clinical environment and or mobile smartphones. This combination for knowledge acquisition and decision support (while using machine learning techniques) has not yet been explored in clinical environments and is of specific interest because it combines previously unconnected information sources for individualised treatments. The innovative aspect is a holistic view on individual patients based on ontologies, terminologies, and textual patient records whereby individual active and passive real-time patient data can be taken into account for improving clinical decision support.
AB - In this paper, we describe how we combine active and passive user input modes in clinical environments for knowledge discovery and knowledge acquisition towards decision support in clinical environments. Active input modes include digital pens, smartphones, and automatic handwriting recognition for a direct digitalisation of patient data. Passive input modes include sensors of the clinical environment and or mobile smartphones. This combination for knowledge acquisition and decision support (while using machine learning techniques) has not yet been explored in clinical environments and is of specific interest because it combines previously unconnected information sources for individualised treatments. The innovative aspect is a holistic view on individual patients based on ontologies, terminologies, and textual patient records whereby individual active and passive real-time patient data can be taken into account for improving clinical decision support.
KW - clinical decision support
KW - computer-based medical systems
KW - cyber-physical systems
KW - knowledge acquisition
UR - https://www.scopus.com/pages/publications/84907382216
U2 - 10.1109/CBMS.2014.83
DO - 10.1109/CBMS.2014.83
M3 - Conference contribution
AN - SCOPUS:84907382216
SN - 9781479944354
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 351
EP - 356
BT - Proceedings - 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 May 2014 through 29 May 2014
ER -