An electronic health record tool designed to help physicians find data they need to prescreen patients, speed up workflows and improve outcomes and avoid preventable errors has raised $4 million. The investment will the health IT startup to expand its search tool to a wider market of academic medical centers and community hospitals.
The comapny’s name is an acronym for Queriable Patient Inference Dossier. The search engine and intelligence tool was developed in 2007 by Dr. Michael Zalis, a radiologist at Massachusetts General and chief medical officer for the company, and Dr. Mitch Harris, chief scientific officer within Massachusetts General Hospital and Partners HealthCare in Boston. Since then it has been used in 15 different clinical departments at multiple hospitals in the Partners System
In radiology, for example, it can produce patient-specific information to improve and speed up interpretation of imaging exams. On reason Zalis was keen to develop it in radiology is that it frequently provides tests for a high volume of patients with few repeat customers. So they need to vetted, for an MRI scan for example, to ensure there is nothing metallic, such as remnants from a gunshot wound, that could cause terrible injuries if not identified.
One of the other professionals behind the technology is Dr. Mitch Harris, chief scientific officer within Massachusetts General Hospital and Partners HealthCare in Boston.
Thee has been a lot of interested in mining patient records to more easily locate unstructured data. At HIMSS this month some health IT vendors showed tools designed to improve workflow with electronic health records such as Nuance Communication’s clinical language understanding software and M*Modal’s natural language system
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