A paper published in the August issue of the Journal of the American College of Radiology (JACR) reveals a new data-mining tool for medical records. The tool, called Queriable Patient Inference Dossier (QPID), is designed to effectively sort and retrieve data from an electronic medical record (EMR) system.
Michael Zalis, MD, lead author of the study, explained in a JCR press statement that radiologists commonly encounter each patient with little prior familiarity with the patient’s clinical situation. He said, “As a result, the time and effort required to retrieve, review, and assimilate EMR data relevant for the case at hand becomes an important consideration for use of EMR in busy clinical practice.”

To address the need for better medical information data sorting, Zalis lead a team of researchers at Massachusetts General Hospital in Boston to develop a programmable search engine for the hospital’s EMR.

Zalis noted that QPID is a not an EMR or information source, but simply reads the data of an EMR and serves as a way to extract useful patterns of EMR data.
The study, titled “Advanced Search of the Electronic Medical Record: Augmenting Safety and Efficiency in Radiology” is available on the JACR’s website.
(Source: Press Release)