What resources do you provide?

  • Payer database of a large commercial health insurance company
  • R packages to facilitate access to the database resources
  • R packages to implement standard workflows
  • Large scale analytic database / data mining platforms

How can I use these resources?

Getting started is easy. You will be asked to fill out a Healthcare Data Science Program Access Request describing your team and what you’d like to do with the data, and we’ll contact you shortly. Applications are reviewed by program leadership on a monthly basis. Because we have many researchers in the HMS community who are working with us, we maintain an active roster of teams and their respective projects.

If your project is approved, you will be required to sign a data use agreement that outlines the terms, conditions and purposes related to your access to the HDS resources.

Who do I contact?

Send your request to Erica Meyer, Program Manager.


The Healthcare Data Science Program at DBMI aims to:

  • Bring together various healthcare data sets in a centralized environment to facilitate research activities including epidemiological, public health, and healthcare economics analyses.
  • Develop algorithmic / machine learning / statistical tools for mining and extracting knowledge from these complex data sets.
  • Build computational infrastructure to support analysis of these data sets.
  • Educate the HMS community about using these tools and data sets for their own research.

Program Leadership

Nathan Palmer, PhD, Director

Isaac Kohane, MD, PhD, Chair, Department of Biomedical Informatics

Susanne Churchill, PhD, Executive Director, Department of Biomedical Informatics

Selected Publications

Yuan W, Yu KH, Palmer N, Stanford FC, Kohane I. Evaluation of the association of bariatric surgery with subsequent depression. Int J Obes (Lond) 2019-04-30

Kehl KL, Yang S, Awad MM, Palmer N, Kohane IS, Schrag D. Pre-existing autoimmune disease and the risk of immune-related adverse events among patients receiving checkpoint inhibitors for cancer. Cancer Immunol Immunother 2019-03-15

Lakhani CM, Tierney BT, Manrai AK, Yang J, Visscher PM, Patel CJ. Repurposing large health insurance claims data to estimate genetic and environmental contributions in 560 phenotypes. Nat Genet 2019-02-01

Lipnick SL, Agniel DM, Aggarwal R, Makhortova NR, Finlayson SG, Brocato A, Palmer N, Darras BT, Kohane I, Rubin LL. Systemic nature of spinal muscular atrophy revealed by studying insurance claims. PLoS One 2019-01-01

Yu KH, Miron O, Palmer N, Lemos DR, Fox K, Kou SC, Sahin M, Kohane IS. Data-driven analyses revealed the comorbidity landscape of tuberous sclerosis complex. Neurology 2018-11-20

Brat GA, Agniel D, Beam A, Yorkgitis B, Bicket M, Homer M, Fox KP, Knecht DB, McMahill-Walraven CN, Palmer N, Kohane I. Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study. BMJ 2018-01-17

Lyons TW, Olson KL, Palmer NP, Horwitz R, Mandl KD, Fine AM. Patients Visiting Multiple Emergency Departments: Patterns, Costs, and Risk Factors. Acad Emerg Med 2017-11-01

Palmer N, Beam A, Agniel D, Eran A, Manrai A, Spettell C, Steinberg G, Mandl K, Fox K, Nelson SF, Kohane I. Association of Sex With Recurrence of Autism Spectrum Disorder Among Siblings. JAMA Pediatr 2017-11-01

Fried I, Beam AL, Kohane IS, Palmer NP. Utilization, Cost, and Outcome of Branded vs Compounded 17-Alpha Hydroxyprogesterone Caproate in Prevention of Preterm Birth. JAMA Intern Med 2017-11-01

Homer ML, Palmer NP, Fox KP, Armstrong J, Mandl KD. Predicting Falls in People Aged 65 Years and Older from Insurance Claims. Am J Med 2017-06-01