BioMedical Informatics Core Update ICON Annual Meeting, April 22, 2013 Ron Horswell, PhD Associate Professor Pennington Biomedical Research Center.

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Presentation transcript:

BioMedical Informatics Core Update ICON Annual Meeting, April 22, 2013 Ron Horswell, PhD Associate Professor Pennington Biomedical Research Center

BMI Core Functions Design, Create, Maintain data entry packages for projects requiring prospective data collection. –Largely done with RedCap –Connie Murla (PBRC) –Daniel Lorio (PBRC) Extractions of data from large, existing databases. –Largely from the LSU HCSD’s DMED warehouse –Ron Horswell (PBRC) –Elizabeth Chesteen (PBRC) –San Chu (PBRC) –Jay Besse (HCSD) –Yong Yi (HCSD) PI’s, Co-PI’s for some projects Participate in ICON “interest groups”

BMI Core Functions Design, Create, Maintain data entry packages for projects requiring prospective data collection. –Largely done with RedCap –Connie Murla (PBRC) –Daniel Lorio (PBRC) Extractions of data from large, existing databases. –Largely from the LSU HCSD’s DMED warehouse –Ron Horswell (PBRC) –Elizabeth Chesteen (PBRC) –San Chu (PBRC) –Jay Besse (HCSD) –Yong Yi (HCSD) PI’s, Co-PI’s for some projects Participate in ICON “interest groups” RedCap used or under development for 10 of 33 current ICON projects. DMED extracts conducted or under development for 28 of 33 current ICON projects. PI’s or Co-PI’s on 6 of 33 projects

RedCap

Data Extracts

Calculation of Prevalence or Incidence from data extracts

Data Extracts

FOR prev_dx1_meds by year, total population year prev_dx1_meds npeople nraw sterr _lower _upper pvalue TEST FOR ANY DIFFERENCES ACROSS, p-value = 0.000

Diabetes Interest Group Implementing Screening for Diabetes and Pre- diabetes (nearing completion) Design of Diabetes/Pre-diabetes Screening Protocols (in progress) Hepatitis B Immunization for Diabetes Patients (protocol completed) Treatment protocols for pre-diabetes patients (future)

Challenges 1.Intersection of Informatics with Design & Analysis. 2.Data extracts for LSU-Shreveport projects 3.Federated data warehouse concept

Federated Data Warehouses EMR-1 EMR-2 EMR-n DW-1 DW-2 DW-n Common Analytic Programs Common Structure Warehouses

Federated Data Warehouses EMR-1 EMR-2 EMR-n DW-1 DW-2 DW-n Common Analytic Programs Common Structure Warehouses Advantages: Efficiency in analysis Supports true population analyses Valid comparisons Supports research Supports data marts

end