GE and UCSF partner on clinical computing for imaging
The University of California at San Francisco's Center for Digital Health Innovation and GE Healthcare are developing tools to help clinicians make faster and more accurate diagnoses of specific conditions.
GE, which makes radiological imaging equipment and electronic health records systems, is working with UCSF to develop an entire library of computerized calculations, or algorithms, that will be combined with EHR data in an effort to more quickly read images and help develop patient care plans.
An algorithm already under development can help spot pneumothorax, or collapsed lung. But the long-term goal is to create a clinical computing system to predict a patient's trajectory, automate their triage and otherwise enhance workflows to be more efficient, according to GE.
The algorithms will be stored and made accessible worldwide via GE's Health Cloud database and work with so-called “smart” GE imaging machines, according to a UCSF news release.