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Personal profile

Research Interests

Dr. Starren is founding Chief of the Division of Health and Biomedical Informatics, Deputy Director of the Northwestern University Clinical and Translational Sciences Institute (NUCATS) and Director of the Feinberg Center for Data Science and Informatics (CDSI). He also leads the doctoral programs in Health and Biomedical Informatics, serves on the university Big Data Taskforce and oversees a variety of informatics, research computing, and data sciences activities.

Dr. Starren’s research focuses on the translation of computer and informatics research into real-world solutions. Dr. Starren has led the EHR integration workgroup of the Electronic Medical Records and Genomics (eMERGE) project, focusing on the integration of genomic data into the EHR to support precision medicine. He is PI of a nine-site consortium integrating patient reported outcomes data into EHRs: EHR Access to Seamless Integration of PROMIS (EASI-PRO).

Education/Academic qualification

PhD, Columbia University

… → 1997

MD, Washington University in St. Louis School of Medicine

… → 1987

Research interests

  • Bioinformatics
  • Biomedical Ontologies
  • Biomedical ontologies
  • Computational Biology
  • Information Systems
  • Internet Intervention
  • Medical Informatics
  • Post-Graduate Medical Education
  • Post-graduate Medical Education

Fingerprint Dive into the research topics where Justin B Starren is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Telemedicine Medicine & Life Sciences
Electronic Health Records Medicine & Life Sciences
Retinopathy of Prematurity Medicine & Life Sciences
Informatics Medicine & Life Sciences
Education Medicine & Life Sciences
Clinical Decision Support Systems Medicine & Life Sciences
Genomics Medicine & Life Sciences
Technology Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2011 2024

Research Output 1981 2019

An ancillary genomics system to support the return of pharmacogenomic results

Rasmussen, L. V., Smith, M. E., Almaraz, F., Persell, S. D., Rasmussen-Torvik, L. J., Pacheco, J. A., Chisholm, R. L., Christensen, C., Herr, T. M., Wehbe, F. & Starren, J. B., Feb 19 2019, In : Journal of the American Medical Informatics Association. 26, 4, p. 306-310 5 p.

Research output: Contribution to journalArticle

Clinical Decision Support Systems
Electronic Health Records
Pharmacogenetics
Genomics
Information Storage and Retrieval

Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms

Zhong, Y., Rasmussen, L., Deng, Y., Pacheco, J., Smith, M. E., Starren, J. B., Wei, W. Q., Speltz, P., Denny, J., Walton, N., Hripcsak, G., Chute, C. G. & Luo, Y., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1143-1146 4 p. 8621240. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Phenotype
Electronic Health Records
Proxy
Macros
Learning systems

Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network

Herr, T. M., Peterson, J. F., Rasmussen, L. V., Caraballo, P. J., Peissig, P. L. & Starren, J. B., Jan 1 2019, In : Journal of the American Medical Informatics Association. 26, 2, p. 143-148 6 p.

Research output: Contribution to journalArticle

Clinical Decision Support Systems
Pharmacogenetics
Electronic Health Records
11 Citations (Scopus)

Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes

Luo, Y., Cheng, Y., Uzuner, Ö., Szolovits, P. & Starren, J. B., Jan 1 2018, In : Journal of the American Medical Informatics Association. 25, 1, p. 93-98 6 p., ocx090.

Research output: Contribution to journalArticle

Learning
Datasets
22 Citations (Scopus)

Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review

Luo, Y., Thompson, W. K., Herr, T. M., Zeng, Z., Berendsen, M. A., Jonnalagadda, S. R., Carson, M. B. & Starren, J. B., Nov 1 2017, In : Drug Safety. 40, 11, p. 1075-1089 15 p.

Research output: Contribution to journalReview article

Natural Language Processing
Pharmacovigilance
Electronic Health Records
Drug-Related Side Effects and Adverse Reactions
Health