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Sherley

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Aug 3, 2024, 4:26:45 PM8/3/24
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Clinical Decision Support (CDS) Connect is a freely available web-based platform, including an authoring tool and a repository, enabling the CDS community to identify evidence-based care, translate and codify information into an interoperable health information technology standard, and leverage tooling to promote a collaborative model of CDS development.

The FHIR service app can return appropriate guidance, such as proposed alternative medication or formulary information. CDS Service vendors can test CDS Service functionality using the CDS Hooks Sandbox. More advanced functionality is under development, such as the multi-interested party Da Vinci Burden Reduction Project and provides use cases for alerts/notifications, prior authorization, and document exchange. The Agency for Healthcare Research and Quality's CDS Connect Project provides a web-based platform to assist with development of CDS artifacts and CDS Hooks.

Certified Health Information Technology (IT) Product List (CHPL) is a comprehensive and authoritative listing of all health IT modules certified by the ONC Health IT Certification Program. All products listed are tested by an ONC-Authorized Testing Lab (ONC-ATL) and certified by an ONC-Authorized Certification Body (ONC-ACB) to meet criteria adopted by the Secretary of the Department of Health and Human Services (HHS). For additional information on how to navigate the CHPL, please refer to the CHPL Public User Guide.

ClinFHIR is an open-source tool providing an educational environment and also allows health information technology developers to create or search for Fast Healthcare Interoperability Resources (FHIR)-based resources. It serves as a training tool to help people wanting to learn more about FHIR visualize how the parts combine to represent clinical information in a structured and coded manner. It also serves as a development tool with features to build some of the required artifacts, particularly as an aid to learning.

CMS Measures Inventory Tool (CMIT) is the repository of record for information about CMS quality measures. CMS and its partners use the inventory to inform stakeholders, manage its measure portfolio, and guide measure development. The functions allow users to find measures quickly, compile and refine sets of related measures, identify measures across the continuum of care, and help coordinate measurement efforts across all conditions, settings, and populations.

A CMS Electronic Health Record (EHR) Certification ID is a number generated by the Certified Health Information Technology (IT) Product List (CHPL) and used for reporting to CMS. It represents a single product or combination of products in the CHPL. The CMS EHR Certification ID is different from the CHPL product number. In the CHPL, this is the number generated when the hospital/clinician selects EHR Certification ID for a suite of products making up the hospital's/clinician's EHR solution. If a product changes, then a different CMS EHR Certification ID will be generated. The CMS EHR Certification ID is only unique to the product suite. If two different hospitals/clinicians happen to use the same products, then they will both have the same CMS EHR Certification ID.

CMS Help Desks listed on the Electronic Clinical Quality Improvement (eCQI) Resource Center Contact Us page provide information and assistance regarding electronic clinical quality measures and tools used in CMS quality reporting programs.

The CMS Measures Under Consideration Entry/Review Information Tool (CMS MERIT) is the web-based data collection portal allowing measure developers to submit candidate measures to CMS for consideration. The Tool walks the submitter through the process of providing information. Each submitter has a dashboard allowing them to track the progress of their submitted measure and to communicate with CMS through the comment function. The Tool also provides a view of all measures submitted for the current year. Another purpose of CMS MERIT is to give federal officials, the consensus-based entity multi-stakeholder groups, and other stakeholders more information as they review measures.

The CMS Measures Management System (MMS) Hub is a resource providing information about the MMS, guidance for measure developers (content previously found in the Blueprint), and quality measure-related news and events. It includes information on measure development, measure implementation, measure maintenance, tools, templates, opportunities to participate in public comment and technical expert panels, and more.

The CMS Quality Reporting Document Architecture (QRDA) Implementation Guides (IGs) are based on the Health Level Seven International QRDA IGs. The CMS QRDA Category I IG is used for Hospital Inpatient Quality Reporting, Hospital Outpatient Quality Reporting, and the Medicare Promoting Interoperability Program for Eligible Hospitals and Critical Access Hospitals. The CMS QRDA Category III IG is used for the Eligible Clinician programs addressing aggregate reporting requirements for Primary Care First, traditional Merit-based Incentive Payment System (MIPS) programs, Alternative Payment Model Performance Pathway, and MIPS Value Pathway.

The CMS Quality Reporting Document Architecture (QRDA) Pre-Submission Validation Tools are resources offering QRDA validation tools available to submitters. The intent is to give users a single point of reference for these tools and assist them in selecting the most appropriate tool to meet their individual needs. The tools cover

The Clinical Quality Framework (CQF) is a collaborative community of participants from the public and private sectors focused on providing tools, services, and guidance to facilitate the harmonization of standards for clinical decision support and electronic clinical quality measures use in clinical quality improvement.

The Clinical Quality Framework (CQF) Ruler comprises a collection of plugins tailored for the HAPI Fast Healthcare Interoperability Resources (FHIR) JPA server providing an implementation of the FHIR Clinical Reasoning Module for processing quality measures and serves as a knowledge artifact repository and clinical decision support service.

Clinical Quality Language (CQL) is a Health Level Seven International mixed normative/standard for trial use and it is part of the effort to harmonize standards between electronic clinical quality measures and clinical decision support. CQL provides the ability to express logic that is human readable yet structured enough for processing a query electronically.

The Clinical Quality Language (CQL) Evaluation Engine is an open source Java-based evaluation engine capable of evaluating the result of any CQL expression. Note: this is a component in the CQL translator repository.

The Clinical Quality Language (CQL) Formatting and Usage Wiki is a collaborative workspace for the development of CQL formatting conventions and usage patterns for the representation of logic within quality measures. All users have editing rights, able to submit edits, add comments and concerns. Items on the Wiki are a work in progress and subject to change.

The CQL-to-ELM Translator is an open-source reference implementation that translates the high-level Clinical Quality Language (CQL) syntax into the Expression Logical Model (ELM) representation. The reference implementation is used in support of Clinical Quality Framework implementations as a tool to enable CQL output to be uniformly and automatically translated into ELM XML or JavaScript Object Notation (JSON) documents for sharing and distribution to support implementation, integration, translation, and execution of CQL-based artifacts.

Crucible is a suite of open-source testing tools for Health Level Seven International Fast Healthcare Interoperability Resources (FHIR) provided to the FHIR development community to help promote correct FHIR implementations. It currently can test for conformance to the FHIR standard, score patient records for completeness, and generate synthetic patient data.

Cypress, with the fully integrated Cypress Validation Utility + Calculation Check (CVU+), is an open source testing tool used by vendors to certify their electronic health records (EHRs) and health information technology (IT) modules for calculating electronic clinical quality measures (eCQMs). Cypress is an official testing tool for the ONC EHR Certification Program. Testing involves Cypress generating synthetic patient records for the subset of published eCQMs selected for certification and testing the ability of the EHR systems and health IT modules to accurately record, import, calculate, filter, and report eCQMs.

The De Novo Measure Scan (DNMS) is an advanced feature of the Environmental Scan Support Tool (ESST) on the controlled access CMS Measures Inventory Tool (CMIT) site. You must have a CMIT login to access. The DNMS helps measure developers conduct early and frequent environmental scans while developing new measures. The DNMS uses a Clinical Quality Measure ontology to describe a measure and represent quality measure concepts. Components of the ontology include target population, health status or utilization, change concept, expected output of the change concept, and care setting. The DNMS uses structured search terms to represent the measure concepts to build a new measure and uses artificial intelligence to identify and prioritize the most relevant PubMed, PubMed Central, and CINAHL related literature.

The Health Level Seven International (HL7) Data Exchange for Quality Measures (DEQM) Implementation Guide (IG), provides a framework defining conformance profiles and guidance to enable the exchange of quality improvement information including quality measure reporting (e.g., for transferring quality information from a health care provider to a payor) using Fast Healthcare Interoperability Resources (FHIR)-based resources.

The sponsoring HL7 workgroup, Clinical Quality Information, manages the changes of this FHIR IG, which the workgroup incorporates as part of the standard balloting process. The update cycle follows closely with the Quality Measure IG and Quality Improvement Core (QI-Core) Implementation Guide (IG).

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