1 / 4

Biomedical Knowledge Navigation: Interactive tools for clinical and research insight

This project aims to develop innovative tools that bridge the gap between biomedical data and insights for clinicians and translational researchers, through navigation and exploration tools for data repositories. It involves qualitative investigation, prototyping, and mixed-methods evaluations.

sthayer
Download Presentation

Biomedical Knowledge Navigation: Interactive tools for clinical and research insight

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Biomedical Knowledge Navigation: Interactive tools for clinical and research insight Harry Hochheiser Assistant Professor Department of Biomedical Informatics Intelligent Systems Program University of Pittsburgh Center for Causal Discovery (www.ccd.pitt.edu) Biomedical Informatics Training Program

  2. The data interpretation challenge • Clinicians and translational researchers are swamped with data • Lab measurements, meds, clinical notes, imaging data in EMRs • Genomics, microbiome, expression profiles, phenotypes.. • Experts need tools that • Get them closer to the data • Facilitate exploration and hypothesis generation • Visual analytics to support knowledge work as an ongoing process • Goal: Develop innovative tools that reduce the gap between data and insight • Approach • Qualitative investigation of problem domains and user needs and challenges • Iterative prototyping and refining of ideas • Mixed-methods (qualitative and quantitative) evaluations

  3. Clinical and Translational Applications • Navigation and exploration tools for data repositoriesDevelopmental Biology, 355(2), 2011. Hochheiser, et al. • Collaborator identification in research social networks J. Medical Internet Research 16(11).e244,2014. Borromeo, et al. • Exploration of genotype-phenotype relationships Mammalian Genome 2015. Haendel, et al. • Interactive review of natural language processing results from clinical notesTextVis 2015, Trivedi, et al.

  4. Ongoing Support • The Monarch Initiative: Linking diseases to model organism resources NIH OD: R24OD011883,R24OD011883-03S1 • Interactive Search and Review of Clinical Records with Multilayered Semantic Annotation NLM: R01LM 010964 • Sarcoidosis and A1AT Genomics & Informatics Center NHLBI: U01HL112707,U01 HL112707-02A1S1 • Addressing gaps in clinically useful evidence on drug-drug interactions NLM: R01LM011838 • Cancer Deep Phenotype Extraction from Electronic Medical Records NCI: U24CA184407 • Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data NHGRI: U54HG008540 • Quantifying Electronic Medical Records Usability to Improve Clinical Workflow AHRQ: R01HS021290 • Human Genomics Analysis Interface For FaceBase 2. NIDCR: U01DE024425

More Related