Electronic Medical Record (EMR) Clinical Data
There are two types of EMR clinical data: unstructured and structured. Demographics, lab results, diagnoses typically found in clinical settings make up the electronic medical record. Johns Hopkins’ Epic Medical Record System has multiple features to support clinical research at Johns Hopkins. Research teams can use novel statistical methods to analyze the clinical data in PMAP and answer questions about factors that determine the course of illness and clinical outcomes in individuals.
Johns Hopkins researchers can now also access the Johns Hopkins inHealth Research Enclave for Analyzing Clinical Health Data (REACH), a de-identified version of Johns Hopkins’ electronic medical records (EMR) data.
EMR Clinical Data Stats
2M+
patients seen across the Johns Hopkins Health System since 2013
54,687,801
completed encounters
since 2013
1510
unique departments associated with those encounters
Resources & Tools
REACH
The Johns Hopkins inHealth Research Enclave for Analyzing Clinical Health Data (REACH) is a de-identified data resource that enables scientific discovery and advances healthcare by developing a de-identified version of Johns Hopkins’ electronic medical records (EMR) data.
Epic Derived “Foundation” Database Tables
Organized, re-usable format that can be provisioned quickly using an ever-growing registry on a secure data enclave.
PMAP Data Catalog
Provides information about the available data to guide subsequent requests for that data.
Disease Registries
Dozens of precision medicine centers of excellence covering a broad range of diseases built robust clinical data repositories and biorepositories accessible to researchers with an approved IRB.
OMOP Common Data Model (CDM) v5.4
Specification document of the latest version of the OMOP CDM. Each table is represented with a high-level description and ETL conventions that should be followed.