Entries by danicaart

MedCity News: Can a pre-operative risk assessment tool reduce healthcare costs and improve outcomes?

MedCity News, Feb. 18, 2014 Health IT startup QPID Health, formed at Massachusetts General, has rolled out its first clinical decision support tool for its cloud-based platform, QPID. It works on top of providers’ electronic medical record systems and is designed to be used before high-cost, high-volume medical procedures. The idea is for physicians to use […]

QPID Health Announces Release of Q-Guide

Application promotes appropriate use and cuts costs related to pre-authorization and unnecessary surgical procedures. Boston – February 18, 2014 – QPID Health, an innovative provider of clinical insights software solutions, today announced the release of the procedure decision support application Q-Guide. Based on the QPID clinical insights platform, the application addresses the need for providers to […]

InformationWeek Healthcare tells the QPID story.

We couldn’t have said it better ourselves.  Veteran healthcare and technology reporter Dave Carr covers QPID “formula” in article  “QPID, a Partners HealthCare spinoff, creates a clinical decision support tool to solve physicians’ big gripe about EHRs — buried data.” The sum of “Google, plus CliffsNotes,” might be the formula for making electronic health records […]

InformationWeek Healthcare: Can This Search Tool Make Doctors Love EHR?

InformationWeek Healthcare, Feb. 7, 2014 QPID, a Partners HealthCare spinoff, creates a clinical decision support tool to solve physicians’ big gripe about EHRs — buried data. The sum of “Google, plus CliffsNotes,” might be the formula for making electronic health records software more usable, particularly in large hospital networks that use multiple EHR systems. That […]

Fierce Innovation Awards: Healthcare Edition; QPID Receives Top Recognition

QPID, Inc. Recognized for leadership in Clinical Information Management; also takes “Best in Show” honors Boston, MA – December 18, 2013 – QPID, Inc. announced that is has been recognized by this year’s Fierce Innovation Awards: Healthcare Edition, a unique CIO-reviewed awards program from the publishers of FierceHealthIT, FierceHealthcare, and FierceMobileHealthcare. QPID, Inc. received top honors in the “Clinical Information […]

QPID Recognized as Finalist in Fierce Innovation Awards: Healthcare Edition

Boston, MA – December 5, 2013 – QPID, Inc. announced today that is has been selected as a finalist in this year’s Fierce Innovation Awards:  Healthcare Edition, an awards program from the publisher of FierceHealthIT, FierceHealthcare, and FierceMobileHealthcare.  QPID, Inc. was recognized as a finalist in the category of Clinical Information Management. QPID, Inc. was selected as a finalist for […]

QPID Featured at the AMIA Annual Meeting – Studies Show Impact of QPID

We were pleased to rub shoulders with our colleagues and customers at last week’s AMIA (American Medical Informatics Association) annual meeting. Of note were posters presented by two teams, one led by Gaurav Singal and the other by Shann-Chirag Gandhi. The teams presented case studies of QPID at work to support clinicians with patient information extracted […]

Studies find physicians still not happy with EHRs

Two recent studies caught our eye. Both tell us that half of physicians are still dissatisfied with their EHR systems. Those who are unhappy cite a negative impact on their productivity. IDC Insights reports that “inappropriate form factors and user interfaces” contribute to the productivity drain.  Similarly, in an AMA-commissioned RAND study, researchers found that “poor usability” is a common […]

QPID co-founder Zalis to share his expertise in natural language processing to RSNA 2013

Dr. Mike Zalis, Co-founder and Chief Medical Officer of QPID, Inc. will be lecturing at RSNA 2013, the annual meeting of the Radiological Society of North America that will be held December 1-6 at Chicago’s McCormick Place.  He will speak as part of the Radiology Informatics Series: Natural Language Processing: Extracting Information from Text Radiology Reports […]