Loyalty Cohorts
Space shortcuts
Space Tools

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Loyalty Cohorts


Because electronic health records are often missing information about patients, we developed and validated a tunable computer algorithm to identify subsets of patients whose data are relatively complete and therefore better suited for clinical research studies. A manuscript describing this study is currently under review:

 

Griffin M Weber, William G. Adams, Elmer V. Bernstam, Jonathan P. Bickel, Kathe P. Fox, Keith Marsolo, Vijay A. Raghavan, Alexander Turchin, Xiaobo Zhou, Shawn N. Murphy, Kenneth D. Mandl. “A Tunable Approach to Identifying Research Cohorts with ‘Complete Data’ in Electronic Health Records”. 2015. Under Review.

 

Run the following database script on your i2b2 CRC cell's database (Microsoft SQL Server) to identify patients whose data are relatively complete.

 

LoyaltyCohortSQLServer.sql

 

For more information, please contact

 

Griffin M Weber, MD, PhD

Department of Biomedical Informatics

Harvard Medical School

weber@hms.harvard.edu

 

 

Search this documentation

Livesearch
spaceKeyRPLC

Popular Topics

Popular Labels
spaceKeyRPLC
count10

Featured Pages

Content by Label
showLabelsfalse
spacesRPLC
showSpacefalse
sorttitle
typepage
cqllabel = "featured" and type = "page" and space = "RPLC"
labelsfeatured

Recently Updated Pages

Recently Updated
typespage
max5
hideHeadingtrue
themeconcise