Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Jeffrey Gordon Klann, Ph.D.

Co-Author

This page shows the publications co-authored by Jeffrey Klann and Kavishwar Wagholikar.
Connection Strength

1.305
  1. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420.
    View in: PubMed
    Score: 0.244
  2. Extending i2b2 into a framework for semantic abstraction of EHR to facilitate rapid development and portability of Health IT applications. AMIA Jt Summits Transl Sci Proc. 2019; 2019:370-378.
    View in: PubMed
    Score: 0.209
  3. Web services for data warehouses: OMOP and PCORnet on i2b2. J Am Med Inform Assoc. 2018 10 01; 25(10):1331-1338.
    View in: PubMed
    Score: 0.201
  4. Evolving Research Data Sharing Networks to Clinical App Sharing Networks. AMIA Jt Summits Transl Sci Proc. 2017; 2017:302-307.
    View in: PubMed
    Score: 0.185
  5. SMART-on-FHIR implemented over i2b2. J Am Med Inform Assoc. 2017 03 01; 24(2):398-402.
    View in: PubMed
    Score: 0.180
  6. International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study. J Med Internet Res. 2021 10 11; 23(10):e31400.
    View in: PubMed
    Score: 0.062
  7. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219.
    View in: PubMed
    Score: 0.059
  8. Predicting COVID-19 mortality with electronic medical records. NPJ Digit Med. 2021 Feb 04; 4(1):15.
    View in: PubMed
    Score: 0.059
  9. Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. Patterns (N Y). 2020 Jul 10; 1(4):100051.
    View in: PubMed
    Score: 0.057
  10. Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud. AMIA Jt Summits Transl Sci Proc. 2018; 2017:176-185.
    View in: PubMed
    Score: 0.049
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.