Medicine is being reshaped by three simultaneous technology revolutions: improved measurements, increased computational power, and better connectivity. The most important measurements to inform a particular decision might be in of biochemistry, physiology, structure, environment or behavior of an individual or group. We’re working with strategic partnerships to gather this information better. Together, we can develop new diagnostics, triaging systems and wearables to advance health care.

A New Precision Medicine Analytics Platform (PMAP)

researcher looking at data

PMAP uses a cloud-computing platform to collect and crunch data from sources including:

  • Patient records from Epic
  • MRI images
  • Personal monitoring devices such as step trackers
  • Doctors’ notes
  • Genetic information from patients whose DNA has been analyzed
  • Epidemiologic data such as disease risk by ZIP code

The results help Johns Hopkins researchers define subsets of patients and diseases better so that doctors can bring those discoveries to the clinic.

PMAP is two platforms: discovery through research and delivery to clinical applications. Once an application of the HIPAA-compliant data is approved by the Institutional Review Board and entered into PMAP, the result is data that impacts clinical care.

Johns Hopkins PMAP Portal

A Game Changer for Research

PMAP enables clinical researchers to excel at Johns Hopkins by giving them the security and tools they need do innovative research. They can quickly process data in a secure setting.

Keeping Data Safe at Johns Hopkins

  • The Secure Analytic Framework Environment (SAFE) is the virtual desktop on which researchers work with data.
  • With SAFE, all tools and data are in a secure environment.
  • SAFE comes with standard, HIPAA-compliant analytics packages such as SAS, STAT, Python, Crunchr and Jupiter to help researchers work with the data.
  • Once data is placed into the virtual desktop, other researchers can access the data, and machine learning applications can be used.
  • Natural language processors (NLPs) allow researchers to pull out information from progress notes, doctors’ notes and open comment fields in MyChart messages.