BOSTON – Radiologists' use of an advanced search tool that aims at improving the way they retrieve and sort data from an electronic medical record has the potential to benefit many other departments, according to one of the authors of a new study.

The Queriable Patient Inference Dossier (QPID) search engine was initially developed in 2005 in response to the need for radiologists at Massachusetts General Hospital in Boston to quickly have access to information about their patients. 

Michael Zalis, MD, lead author of the study, which was published in the August issue of the Journal of the American College of Radiology, says the system serves as an adjunct to the hospital's EMR system.

"Even in its simplest implementation, the presence of an EMR system presents considerable challenges to the radiologist," he explains. "For example, radiologists commonly encounter each patient with little prior familiarity with the patient's clinical situation. 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."

The QPID system currently serves 500 registered users at Massachusetts General Hospital and posts 7,000 to 10,000 thousand pages of medical record data daily, according to hospital officials.

"[QPID] It was developed separately from the EMR and operates in a read-only fashion in relation to it," Zalis says. "Thus QPID is not a source of new EMR data, but serves as a method to extract useful patterns of EMR data from the separately curated clinical data repositories at our institution,"

He says this tool has the ability to extend the radiologist's awareness of a patient's clinical history and care record, which he says can lead to better value, quality, and safety of practice.

"The potential impact of advanced EMR search tools is by no means limited to radiology and in fact many departments in the hospital and outpatient clinic may benefit from these capabilities," Zalis says. "In our own institution, with the QPID search system, we have catalyzed a growing base of enthusiastic users, many of whom have contributed their own insights and content to the system's catalogue of search modules, each of which is potentially applicable at more than one site. The future for advanced search of the EMR looks to be exciting and full of potential."