This proposal for the Harvard Informatics Training Program (HITP) recognizes that the field of biomedical informatics is an increasingly relevant, if not essential, field for medicine and research in the health sciences. As such, the primary aim of this proposal is to contribute to the cadre of highly-trained independent and successful researchers in the field of biomedical informatics. Harvard meets all requirements of the current National Library of Medicine (NLM) RFA, which focuses on those basic informatics areas that directly pertain to health-related application domains. The breadth and depth of our research laboratories, real-world clinical systems, research activities, formal academic programs, and experienced faculty provide an outstanding environment to mentor and instruct trainees in all four of the NLM-identified focus areas - healthcare/clinical informatics, translational bioinformatics, clinical research informatics, and public health informatics. Trainees receive in-depth training in foundational informatics methodologies and in each of the focus areas not only in the classroom setting but also through direct experience in the laboratory research setting. Our proposal builds on the strengths of our many years of NLM fellowship training and extends and improves our successful program through three innovations that considerably enhance the program. The HITP program 1) consolidates all of the major Harvard informatics laboratories under the umbrella of the Harvard Center for Biomedical Informatics (CBMI), centrally located on the Harvard Medical School campus, with dedicated space for HITP activities;2) includes a research seminar - required of all trainees each semester throughout their training - that is a focal point for sustained interactions among all HITP trainees and mentors, regardless of their laboratory setting;3) provides foundational academic training through the newly established Harvard Medical School Master in Medical Science (MMSc) in Biomedical Informatics. We request support for fifteen NLM trainees each year, 12 at the postdoctoral level and 3 at the predoctoral level. The formal academic component includes the Harvard MMSc for all postdoctoral trainees, and the PhD degree through the MIT Department of Electrical Engineering and Computer Science, with which the Harvard training program has been fully integrated for many years. The HITP program consists of four interrelated components: 1) formal coursework, 2) research mentorship, 3) thesis project, 4) mentored research grant. Trainees'overall progression throughout the training period is closely monitored. Trainees are regularly evaluated through their course work and through progress on their research projects. Progress on the thesis is ensured by the thesis committee, and trainees are regularly encouraged to submit papers for publication.

Public Health Relevance

of research to public health: It is no longer possible to practice medicine in today's world without knowledge of basic biomedical informatics principles. With the increasing amount of medical and health care data that are being continuously generated, an information processing approach to medicine is essential. The primary aim of this proposal is to contribute to the pool of highly-trained independent and successful researchers in the rapidly growing field of biomedical informatics.

National Institute of Health (NIH)
National Library of Medicine (NLM)
Continuing Education Training Grants (T15)
Project #
Application #
Study Section
Special Emphasis Panel (ZLM1-AP-T (01))
Program Officer
Florance, Valerie
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Harvard University
Internal Medicine/Medicine
Schools of Medicine
United States
Zip Code
Song, Wenyu; Huang, Hailiang; Zhang, Cheng-Zhong et al. (2018) Using whole genome scores to compare three clinical phenotyping methods in complex diseases. Sci Rep 8:11360
Boag, Willie; Doss, Dustin; Naumann, Tristan et al. (2018) What's in a Note? Unpacking Predictive Value in Clinical Note Representations. AMIA Jt Summits Transl Sci Proc 2017:26-34
Calvo, Rafael Alejandro; Dinakar, Karthik; Picard, Rosalind et al. (2018) Toward Impactful Collaborations on Computing and Mental Health. J Med Internet Res 20:e49
Hswen, Yulin; Naslund, John A; Brownstein, John S et al. (2018) Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media. Psychiatr Q 89:569-580
Powell, Adam C; Singh, Preeti; Torous, John (2018) The Complexity of Mental Health App Privacy Policies: A Potential Barrier to Privacy. JMIR Mhealth Uhealth 6:e158
O'Connor, Stacy D; Silverman, Stuart G; Cochon, Laila R et al. (2018) Renal cancer at unenhanced CT: imaging features, detection rates, and outcomes. Abdom Radiol (NY) 43:1756-1763
Torous, John; Chan, Steven; Luo, John et al. (2018) Clinical Informatics in Psychiatric Training: Preparing Today's Trainees for the Already Present Future. Acad Psychiatry 42:694-697
Ong, Mei-Sing; Mandl, Kenneth D (2017) Trends in Prostate-Specific Antigen Screening and Prostate Cancer Interventions 3 Years After the U.S. Preventive Services Task Force Recommendation. Ann Intern Med 166:451-452
Sandoval, Luis R; Torous, John; Keshavan, Matcheri S (2017) Smartphones for Smarter Care? Self-Management in Schizophrenia. Am J Psychiatry 174:725-728
Torous, John; Firth, Joseph; Mueller, Nora et al. (2017) Methodology and Reporting of Mobile Heath and Smartphone Application Studies for Schizophrenia. Harv Rev Psychiatry 25:146-154

Showing the most recent 10 out of 203 publications