Creating a Learning Health System
Greg Quinn and Andrew Quina from MITRE demonstrate in this HIMSS18 presentation an open source application to empower clinicians to author clinical notes while simultaneously enabling low burden collection of structured clinical data.
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.
In this HIMSS18 presentation Gail Hamilton, MITRE and Thomas Novak, HHS discuss how health interoperability is key for improving care coordination, efficiency, and reducing physician burden.
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.
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.
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..
This HIMSS18 presentation by Marlene Matosky, MPH, RN, (HRSA) and Renee Rookwood, RN, MITRE showcases the methods, results, and lessons learned from the testing process, and highlights opportunities to eCQM development, testing and implementation.
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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