title: AALIM: a cardiac clinical decision support system powered by advanced multi-modal analytics.
abstract: 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.
authors.affiliation: IBM Almaden Research Center, San Jose, CA, USA.
authors.forename: Arnon
authors.initials: A
authors.lastname: Amir
authors.forename: David
authors.initials: D
authors.lastname: Beymer
authors.forename: Julia
authors.initials: J
authors.lastname: Grace
authors.forename: Hayit
authors.initials: H
authors.lastname: Greenspan
authors.forename: Daniel
authors.initials: D
authors.lastname: Gruhl
authors.forename: Allen
authors.initials: A
authors.lastname: Hobbs
authors.forename: Kilian
authors.initials: K
authors.lastname: Pohl
authors.forename: Tanveer
authors.initials: T
authors.lastname: Syeda-Mahmood
authors.forename: Joseph
authors.initials: J
authors.lastname: Terdiman
authors.forename: Fei
authors.initials: F
authors.lastname: Wang
mesh_terms: D002300:Cardiac Care Facilities; D020000:Decision Support Systems, Clinical; D004358:Drug Therapy; D057286:Electronic Health Records; D006801:Humans; D016347:Medical Records Systems, Computerized; D012984:Software