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Finding Datasets for Secondary Analysis

MIMIC (Medical Information Mart for Intensive Care) Database

Medical Information Mart for Intensive Care III (MIMIC-III) is a large, freely-available database comprising de-identified health-related data associated with over 40,000 patients who stayed in critical care units of the Beth Israel Deaconess Medical Center between 2001 and 2012.

The database includes information such as demographics, vital sign measurements made at the bedside (~1 data point per hour), laboratory test results, procedures, medications, caregiver notes, imaging reports, and mortality (both in and out of hospital).

MIMIC-III supports a diverse range of analytic studies spanning epidemiology, clinical decision-rule improvement, and electronic tool development. It is notable for three factors:

  • it is freely available to researchers worldwide
  • it encompasses a diverse and very large population of ICU patients
  • it contains high temporal resolution data including lab results, electronic documentation, and bedside monitor trends and waveforms

Featured Publications Using/Featuring MIMIC-III Data


PCORnet, the National Patient-Centered Clinical Research Network, is an initiative of the PCORI. PCORnet is made up of partner network -- 13 Clinical Data Research Networks (CDRNs) -- based in healthcare systems such as hospitals, integrated delivery systems, and federally qualified health centers, 20 Patient-Powered Research Networks (PPRNs), operated and governed by groups of patients and their partners, and two Health Plan Research Networks (HPRNs), actively engaged in partnering to link claims data with Electronic Health Record (EHR). PCORnet uses the Common Data Model (CDM) to standardize Electronic Medical Records (EMR) and store it in the same way. 

To learn more about the PCORnet data infrastructure, go to the Front Door page which provides various supports for your research need such as:

  • Pre-research Queries, including feasibility queries, engagement, and matchmaking

  • Observational Studies, including cross-sectional, epidemiological, health services, and comparative effectiveness or safety

  • Interventional Studies, including traditional clinical trials, pragmatic randomized clinical trials, e-Identification, e-Consent, e-Randomization, e-Follow-up, and cluster randomization