August 15, 2016—Interoperability is important partly because it facilitates easier extraction of accurate, high-quality data from clinical records. Clinical research and quality measurement are both, in turn, dependent on this data extraction. Presently, this is a time- and labor-intensive process that requires substantial resourcing. Data are the fundamental building blocks of clinical research and observational registries. Methods such as adoption of Integrating the Healthcare Enterprise (IHE) standards and profiles can increase autopopulation of NCDR data emanating from EHR systems and enhance the American Medical Association’s key aim of “data liquidity.”


See also HRS White Paper on Interoperability of Data from Cardiac Implantable Electronic Devices.

Topic

  • Clinical EP
  • Clinical Topics

Resource Type

  • Clinical Documents