The Irving Institute is currently accepting applications for the following:

TL1 Training Program for Doctoral Students and Postdoctoral Appointees For Immediate Start and 2018-2019
TRx Pre-Proposals Apply by December 1

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Request a BMIR Consultation

The Biomedical Informatics Resource (BMIR) provides informatics services to Columbia University investigators and conducts original informatics research in basic and applied translational domains.

How might I use BMIR?

  • Contact a Clinical Data Warehouse Navigator to assist in requesting clinical data to determine the availability of potential research participants.
  • Use Columbia University Scientific Profiles (CUSP) to identify and connect with potential co-investigators needed for a multidisciplinary research study.
  • Request a consultation with a biomedical informatics faculty member in areas ranging from sequencing and microarray analysis to designing, managing, and obtaining data for clinical trials.
  • Use the Integrated Model for Patient Care and Clinical Trials (IMPACT) system to simplify clinical trial participant visit scheduling.

Services

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Columbia University Scientific Profiles (CUSP) is a research networking tool that enables investigators to maintain a personal research profile. CUSP can be used to identify collaborators located on the Columbia University Medical Center (CUMC) campus and at community-based organizations throughout Washington Heights and Inwood.


Service Request and Tracking System
Investigators can request Irving Institute resources and services, such as biostatistics consultations and clinical research services, with the Service Request and Tracking System, which incorporates a sophisticated tracking database and provides summary reports on resource utilization and outcomes, such as grants awarded and scientific papers published.

BMIR itself offers consulting services in areas ranging from sequencing and microarray analysis to designing, managing, and obtaining data for clinical trials.  Request a BMIR consult.


Clinical Data Warehouse (CDW) Navigator
The CDW contains clinical information for over 4.5 million individuals treated at CUMC since the 1980s. With appropriate security safeguards and approval from the Institutional Review Board, investigators can request information such as demographic data; physician orders; laboratory, radiology, pathology, and other reports; structured and free-text clinical documents; and nurse flowsheets and task lists. Data requests are approved and prioritized by the Tripartite Request Assessment Committee (TRAC), which replaces the process formerly known as DISCOVERY.

BMIR provides free consultations to CUMC investigators with a Clinical Data Navigator who can help organize and fulfill CDW data requests. Based on resource availability, a Clinical Data Navigator will be assigned to assist in creating an efficient TRAC request, and/or to assist in the fulfillment of an approved request.

Schedule a consultation with a Clinical Data Navigator.


Integrated Model for Patient Care and Clinical Trials (IMPACT)
Research Scheduling System
The IMPACT software system is designed to automate the manual steps required to schedule research visits for clinical trial participants and thus increase efficiency and reduce errors.  IMPACT maintains a real-time database of resources and their availability, such as exam rooms, equipment, and people (investigators, coordinators, phlebotomists, and schedulers).  IMPACT facilitates communication among study and scheduling staff by sending them notifications of new, rescheduled, and canceled visits and, in addition, daily, weekly, and monthly quantitative activity reports.

Research

BMIR faculty focuses on re-engineering clinical and translational research. Information technology and informatics methods are employed as interventions to improve communication and workflow, and to study changes in practice as innovations are implemented throughout the research community.  

Our research evaluates and strives to benefit all members of the clinical research community:  investigators, coordinators, research participants, patients, providers, statisticians, technicians, administrators, sponsors, monitors, and regulators.  We describe patterns of communication and information exchange among these stakeholders, develop information systems that support interdisciplinary collaboration, analyze workflow patterns, and design and implement interventions to improve best practices.  We develop general methods for improving research across the biomedical research spectrum; for example, by providing clinical investigators access to basic science data (e.g., sequence or microarray analyses) and providing health practitioners access to clinical science data (e.g., scientific evidence relevant to their patients).

Recent publications:
Miotto R, Jiang S, Weng C, eTACTS: A Method for Dynamically Filtering Clinical Trial Search Results, J Biomed Inform, 2013 Dec;46(6):1060-7. PMID: 23916863

Weiskopf NG, Hripcsak G, Sushmita S, Weng C, Defining and measuring completeness for electronic health records for secondary use. J Biomed Inform, 2013 Oct;46(5):830-6. PMID: 23820016

Weiskopf NG, Weng C, Methods and Dimensions of EHR Data Quality Assessment: Enabling Reuse for Clinical Research, J Am Med Inform Assoc. 2013 Jan 1;20(1):144-51. PMID: 22733976

Weng C, Li Y, Berhe S, Boland MR, Gao J, Hruby GW, Steinman RC, Lopez-Jimenez C, Busacca L, Hripcsak G, Bakken S, Bigger JT, An Integrated Model for Patient Care and Clinical Trials (IMPACT) to Support Clinical Research Visit Scheduling Workflow for Future Learning Health Systems, J Biomed Inform, 2013 May 16. PMID: 23684593

Weng C, Appelbaum P, Hripcsak G, Kronish I, Busacca L, Davidson KW, Bigger JT, Using EHRs to Integrate Research with Patient Care: Promises and Challenges, J Am Med Inform Assoc, 2012, Sep 1;19(5):684-7. PMID: 22542813

Weng C, Wu X, Luo Z, Boland M, Theodoratos D, Johnson SB, EliXR: An Approach to Eligibility Criteria Extraction and Representation. J Am Med Inform Assoc, 2011: 18: i116-i124. PMID: 21807647

Thadani S, Weng C, Bigger JT, Ennever J, Wajngurt D, Electronic Screening Improves Efficiency of Clinical Trials Recruitment, J Am Med Inform Assoc, 2009, 16(6), 869-873. PMID: 19717797

Weng C, Gallagher D., Bales M., Bakken S., and Ginsberg H.N. Understanding Interdisciplinary Health Sciences Collaborations: A Campus-Wide Survey of Obesity Experts. Proc of 2008 AMIA Fall Symposium. 2008. 798-802. PMID: 18999235


Leadership and Staff


Chunhua Weng , PhD, Co-Director
Associate Professor of Biomedical Informatics
cw2384@cumc.columbia.edu

   
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Soumitra Sengupta , PhD, Co-Director
Associate Professor of Biomedical Informatics at CUMC
ss29@cumc.columbia.edu

   
Krthik Karthik Natarajan , PhD, Co-Director
Assistant Professor of Biomedical Informatics at CUMC
kn2174@cumc.columbia.edu
   

Aristidis-Floratos

Aristidis Floratos, PhD
Assistant Professor of Biomedical Informatics in Systems Biology at CUMC, Executive Research Director, Center for Computational Biology and Bioinformatics
af2202@cumc.columbia.edu

 

Technical staff:

 

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