Universal Data Acquisition
Quippe acts as a universal data translator, allowing you to acquire clinical data from any source – EHRs, PHRs, repositories, or documents – in any standard structured or unstructured format.
"It [Quippe] cut our documentation time in half. On the first night, our nurses were saying, ‘I don't know what to do now’ they couldn't believe they had time to go and be back at the bedside."
Dawn Mattera, RN Administrative Director, Critical Care and Emergency Department, Holy Name Medical Center
“Previously when using EHRs, I had to work for the computer and I didn’t like it. With Quippe Clinical Lens, the computer goes through the huge volume of data in a patient’s chart and brings me the relative, high-value clinically connected concepts for the problem I am treating the patient for that day. Medicomp has done the work to change how systems can function and empower the clinician at the point of care.”
William J. Hayes, MD
Improve data quality, reduce clinician burden, and enhance patient care. Quippe pairs with AI services to normalize generated content so you can capture structured data and automate clinical workflows with confidence.
Filter by diagnosis. View longitudinal trends. Put existing and suspected problems into context. Capture all of the relevant codes. By diagnostically connecting data, Quippe organizes clinical data so it is actionable throughout the healthcare ecosystem.
Use clinically intuitive technology to support – rather than disrupt – the way clinicians think and work. Quippe is the next generation of healthcare information technology, which normalizes disparate code sets and terminologies with built-in clinical and business intelligence to automate workflows and enhance user experiences.
Medicomp Systems has developed a suite of solutions known as Quippe. These include:
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Press Releases
February 12th, 2025 | By: James Aita
Medicomp Systems Announces Support for USCDI v3, v4 and v5 Along with SDOH Accelerator Tools
Media Coverage
January 7th, 2025 | By: David Lareau
Healthcare IT Today: Healthcare Data and Analytics – 2025 Health IT Predictions