November 22, 2015 — Imaging informatics company HealthMyne announced a major advance in their quantitative imaging analytics platform. Working together with Epic and University of Wisconsin (UW) Health, HealthMyne now offers radiologists a unification of electronic health record (EHR) data and imaging information.
Not only will the unification significantly improve clinical workflow efficiency, but it also enables the move to a correlative, evidence-based population health model where individual patients can be assessed and treated with the beneficial insight of similar patient cohorts.
“HealthMyne provides an oncology-centric unified view that brings together automated quantitative imaging data sequentially interspersed with valuable health record information such as past chemotherapy, treatment procedures, lab results, medications, smoking history and clinical trial involvement. Automated comparison to similar cohorts allows image-based response stratification not previously possible in real-time,” according to Richard Bruce M.D., assistant professor of radiology and medical director of radiology informatics, University of Wisconsin.
“The benefits derived from seamless data interchange and aggregation is no doubt a valuable step forward,” said Jeffrey Kanne, M.D., professor of radiology and chief of thoracic imaging, University of Wisconsin. “However, we expect even greater gains can be achieved by leveraging the data unification and moving into clinical and predictive analytics, including targeted patient cohort comparisons. Being able to data mine the imaging-derived properties native to HealthMyne, together with Epic’s health record information, such as outcomes, should result in powerful decision support capabilities.”
HealthMyne will be exhibiting at the annual meeting of the Radiological Society of North America in Chicago, Nov. 29- Dec. 4, 2015.
For more information: www.healthmyne.com