Creating a Learning Health System

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Democratizing Patient Data: A Story of Patient Empowerment

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.

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..

Getting Started with CQL: Technical Implementation for Vendors

Transitioning from the Quality Data Model to Clinical Quality Language (CQL) impacts health IT vendors who implement electronic Clinical Quality Measures (eCQM). This HIMSS18 presentation by James Bradley, MITRE and Bryn Rhodes, ESAC provides an overview of the CQL architecture, building a CQL execution engine, and using Open Source execution engines—focusing on the JavaScript execution engine used in Bonnie.

Predictive Analytics for Mental Health Outcomes: A Case for Novel Applications of the Hedonometer

Learn about the latest collaborative pursuit between Computational StoryLab at the University of Vermont and MITRE in applying the Hedonometer as an initial screening tool to identify veterans at greatest risk to attempt suicide. A HIMSS18 presentation by Josh Park and Lisa Tompkins-Brown from MITRE.

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