The School of Applied Computational Sciences has an expanding portfolio of resources and tools. 

Computing resources

ADA Departmental GPU supercomputer cluster
Four node cluster consisting of a head node and three GPU compute nodes

  • 320 processor cores
  • 24 GPUs
  • 144 TB parallel file system
  • 200 GB Infiband (Interconnect)
  • Centos 8 Operating Systems + Hadoop / DSMP

Data Resources

The School of Applied Computational Sciences brings together the major data sources at Meharry into a structured data ecosystem to allow aggregation, integration and analysis. The data resources draw from more than 25 sources in the schools of medicine, dentistry and graduate studies.

Clinical Data Core

SACS incorporates clinical data from the outpatient faculty practices of Meharry and from Nashville General Hospital along with the student-faculty dental practices, collectively referred to as Meharry Health System. This data covers a significant percentage of the underserved population in the greater Nashville area and provides insights into the care and the factors that contribute to health inequities. The demographics from the underserved and underinsured patient population is 51% female vs. 48% male; 10% Hispanic/Latino ethnicity and 65% Black/African American.

Currently, the clinical data is drawn from 227,574 unique patients including 46,259 unique dental patients and 21,000 inpatient admissions, resulting in over 4 million transactional clinical records.

Clinical Data Snapshots

Data Driven Clinical Research at Meharry

Meharry has a self-service analytics platform, DISCOVER, that you can use to explore, prepare and visualize the Meharry Electronic Health Record with no coding experience or prior approval from IRB. You can use the Cohort Discovery Tool to find out how many Meharry patients match a particular clinical phenotype and other information about this set of patients. Only de-identified, aggregated, approximate results are provided so this tool can be used in the preparatory to research phase. For example, you might determine whether there are enough patients of particular inclusion/exclusion criteria to justify a particular study. The Cohort Discovery Tool can also be used to develop a hypothesis and prepare a study for IRB application.