AALIM: A cardiac clinical decision support system powered by advanced multi-modal analytics

Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian Pohl, Tanveer Syeda-Mahmood, Joseph Terdiman, Fei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationMedinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PublisherIOS Press
Pages846-850
Number of pages5
EditionPART 1
ISBN (Print)9781607505877
DOIs
StatePublished - 2010
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: 12 Sep 201015 Sep 2010

Publication series

NameStudies in Health Technology and Informatics
NumberPART 1
Volume160
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference13th World Congress on Medical and Health Informatics, Medinfo 2010
Country/TerritorySouth Africa
CityCape Town
Period12/09/1015/09/10

Keywords

  • Clinical Decision Support Systems
  • Multi-modal Analytics

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