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Getting Started with CQL: Technical Implementation for Vendors

Apr 4, 2019 | High Quality Data, HIMSS19 Presentations

“Transitioning from the Quality Data Model to Clinical Quality Language (CQL) impacts health IT vendors who implement electronic Clinical Quality Measures (eCQM). This session provides an overview of the CQL architecture, building a CQL execution engine, and...

FHIR’s Impact on eCQM Development and Testing

Apr 4, 2019 | High Quality Data, HIMSS19 Presentations

“Fast Healthcare Interoperability Resources (FHIR) is a draft Health Level Seven International (HL7) standard describing data formats and elements and an application programming interface for exchanging electronic health records. Join this session to learn about...

CMS Collaborative Measure Development Workspace Feedback Session

Apr 4, 2019 | High Quality Data, HIMSS19 Presentations

“The Centers for Medicare & Medicaid Services (CMS) recently released the Collaborative Measure Development (CMD) Workspace, bringing together a set of interconnected resources, tools, and processes to promote clarity, transparency, and better interaction...

Creating a Core Cancer Data Model to Enable a Learning Health System

Feb 18, 2019 | High Quality Data, HIMSS19 Presentations, Improved Experience of Care

“MITRE is collaborating with ASCO, CancerLinQ, and other clinical experts to develop mCODE (Minimal Common Oncology Data Elements). mCODE models a standard set of interoperable data that will be collected for every cancer patient, with the objective of...

Leveraging Local Data for Public Health with “SMART Scatter”

Feb 18, 2019 | High Quality Data, HIMSS19 Presentations

“A domestic violence analysis shows how using multiple data sources for an urban community in Virginia identified previously undiscovered populations at-risk to enable improved public health interventions. Based on risk factor estimates, actionable “heat...

What’s Next for mCODE?

Feb 11, 2019 | High Quality Data, Improved Experience of Care

Andre Quina, Principal Investigator, Electronic Health Records, explains what’s next for mCODE....
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