TY - GEN
T1 - AALIM
T2 - 13th World Congress on Medical and Health Informatics, Medinfo 2010
AU - Amir, Arnon
AU - Beymer, David
AU - Grace, Julia
AU - Greenspan, Hayit
AU - Gruhl, Daniel
AU - Hobbs, Allen
AU - Pohl, Kilian
AU - Syeda-Mahmood, Tanveer
AU - Terdiman, Joseph
AU - Wang, Fei
PY - 2010
Y1 - 2010
N2 - Modern Electronic Medical Record (EMR) systems often integrate large amounts of data from multiple disparate sources. To do so, EMR systems must align the data to create consistency between these sources. The data should also be presented in a manner that allows a clinician to quickly understand the complete condition and history of a patient's health. We develop the AALIM system to address these issues using advanced multimodal analytics. First, it extracts and computes multiple features and cues from the patient records and medical tests. This additional metadata facilitates more accurate alignment of the various modalities, enables consistency check and empowers a clear, concise presentation of the patient's complete health information. The system further provides a multimodal search for similar cases within the EMR system, and derives related conditions and drugs information from them. We applied our approach to cardiac data from a major medical care organization and found that it produced results with sufficient quality to assist the clinician making appropriate clinical decisions.
AB - Modern Electronic Medical Record (EMR) systems often integrate large amounts of data from multiple disparate sources. To do so, EMR systems must align the data to create consistency between these sources. The data should also be presented in a manner that allows a clinician to quickly understand the complete condition and history of a patient's health. We develop the AALIM system to address these issues using advanced multimodal analytics. First, it extracts and computes multiple features and cues from the patient records and medical tests. This additional metadata facilitates more accurate alignment of the various modalities, enables consistency check and empowers a clear, concise presentation of the patient's complete health information. The system further provides a multimodal search for similar cases within the EMR system, and derives related conditions and drugs information from them. We applied our approach to cardiac data from a major medical care organization and found that it produced results with sufficient quality to assist the clinician making appropriate clinical decisions.
KW - Clinical Decision Support Systems
KW - Multi-modal Analytics
UR - http://www.scopus.com/inward/record.url?scp=78649518969&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-588-4-846
DO - 10.3233/978-1-60750-588-4-846
M3 - Conference contribution
AN - SCOPUS:78649518969
SN - 9781607505877
T3 - Studies in Health Technology and Informatics
SP - 846
EP - 850
BT - Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PB - IOS Press
Y2 - 12 September 2010 through 15 September 2010
ER -