Complete, High Quality Data

Developing standards and open-source tools to enable interoperable data that can be shared and analyzed to unlock transformative clinical insight.

Latest Posts

Democratizing Patient Data: A Story of Patient Empowerment

The most critical member of the care team, the patient, is being left out. Hear insights from this HIMSS18 video presentation by Kristina Sheridan, MS, Principal Investigator and Researcher Patient Empowerment, MITRE, and Kate Sheridan, Student, George Mason University about managing pediatric chronic conditions, the value of patient-generated data, and an update of the patient empowerment research that was inspired by their experience.

A National Repository of Widely-Shareable, Computable CDS

CDS Connect is an AHRQ-sponsored project to collect, build, store and make available a wide range of Clinical Decision Support (CDS) artifacts in both human-readable and computable forms. This HIMSS18 presentation led by Rob McCready, MITRE and Edwin Lomotan, MD, AHRQ demonstrates the CDS Connect Repository.

Buy-in through Opt-in: Shared Services Engagement Strategies

Through a powerful public health case study, this HIMSS18 presentation by Suzie Carmack and Dawn Stapleton from MITRE, articulates how successful social marketing and stakeholder engagement strategies were applied to develop and execute both strategic communication and standards harmonization efforts for CDC’s Surveillance Data Platform with Shared Services Initiative.

Cypress: New Features, Clinical Quality Language Support, and Burden Reduction

The transition from the Quality Data Model to Clinical Quality Language (CQL) will impact health IT vendors implementing electronic clinical quality measures. David Czulada and Sam Sayer from MITRE discuss incorporating CQL into Cypress and the health IT certification program in this HIMSS18 presentation.

Bonnie: Tips for Debugging Clinical Quality Language eCQMs

The transition from the Quality Data Model to Clinical Quality Language (CQL) will impact health IT vendors implementing electronic clinical quality measures (eCQMs). James Bradley and Sam Sayer from MITRE discuss common errors found in CQL logic and will provide tips for debugging CQL eCQMs in Bonnie in this HIMSS18 presentation..

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