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Biomedical Informatics Investigator

  • SUNY Buffalo

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

2 Scopus citations

Abstract

The BMI Investigator is a computer human interface built in.Net which allows simultaneous query of structured data such as demographics, administrative codes, medications (coded in RxNorm), laboratory test results (coded in LOINC) and formerly unstructured data in clinical notes (coded in SNOMED CT). The ontology terms identified using SNOMED are all coded as either positive, negative or uncertain assertions. They are then where applicable built into compositional expressions and stored in both a graph database and a triple store. The SNOMED CT codes are stored in a NOSQL database, Berkley DB, and the structured data is stored in SQL using the OMOP/OHDSI format. The BMI investigator also lets you develop models for cohort selection (data driven recruitment to clinical trials) and automated retrospective research using genomic criteria and we are adding image feature data currently to the system. We performed a usability experiment and the users identified some usability flaws which were used to improve the software. Overall, the BMI Investigator was felt to be usable by subject matter experts. Next steps for the software are to integrate genomic criteria and image features into the query engine.

Original languageEnglish
Title of host publicationDecision Support Systems and Education
Subtitle of host publicationHelp and Support in Healthcare
EditorsKristina Fister, Maria Hagglund, Zdenko Sonicki, Aikaterini Kolokathi, Mira Hercigonja-Szekeres, John Mantas, Mihaela Crisan-Vida
PublisherIOS Press
Pages195-199
Number of pages5
ISBN (Print)9781614999201
DOIs
StatePublished - 2018

Publication series

NameStudies in Health Technology and Informatics
Volume255
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • Automated retrospective research
  • clinical genomic trial recruitment
  • Clinical Research Informatics
  • Ontology
  • Recruitment to clinical trials

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