HL7 collaborates with the U.S. Centers for Disease Control and Prevention (CDC), the Council of State and Territorial Epidemiologists (CSTE), and the Association of Public Health Laboratories (APHL) to support eCR Now through the use of HL7 FHIR in the nationwide initiative formulated for the rapid roll-out of automated electronic case reporting (eCR) from EHRs to state and local public health agencies.
HL7 is developing the SANER HL7® Fast Healthcare Interoperability Resources (FHIR®) Implementation Guide (IG) to support standards-based communication to emergency response authorities regarding critical COVID-19 resources such as ICU beds, ventilators and other essential equipment and treatment supplies. Audacious Inquiry is leading the development of open source solutions that will follow the SANER HL7® FHIR® IG.
CMS released the much-awaited Interoperability & Patient Access Rule in early March this year. This rule establishes policies that aim to break down barriers in the health system across the US for better patient engagement.
CMS had proposed the Interoperability & Patient Access Rule to support regulations of the MyHealthEData initiative and 21st Century Cures Act with an implementation timeline. This resulted in numerous requests from the healthcare industry, especially from the payer community, which demanded for the rule to be implemented in a phased manner. This was well received by CMS and timelines have been set accordingly given that technological advancements and security of data exchange need to be taken into consideration.
The rule promises to enable better patient access to their health information, improve interoperability and drive innovation, while reducing burden on payers and providers. Patients can now be aware of their health information for better care and improved patient outcomes. With data being available conveniently and securely among payers, providers and patients, CMS hopes to achieve real coordinated care, improved health outcomes and reduced costs.
To kick off this month’s Da Vinci Project Community Roundtable, which is slated for Wednesday, April 22, at 4 p.m. EST, Deputy Chief Health Informatics Officer at Centers for Medicare & Medicaid Services Alexandra Mugge will provide a high-level overview of the final rule update on interoperability and patient access. It will then take an in-depth look at two use cases presented by GuideWell and Edifecs to see how organizations are using the Da Vinci Project implementation guides to streamline the exchange of information between payers and providers.
Keeping Us Together While Apart
During this time of global crisis, it’s worth remembering the critical importance of what we at HL7 are doing to improve global health by making health information more available and useful. While so many are struggling with social distancing, we already have a culture that long ago learned to work together remotely on our common goals. But now with fewer opportunities to meet together in person, we need to move ahead to finish much of the work we’ve been doing over the past few years – so we’re better prepared to work together even more effectively, while knowing we must be further apart geographically.
Seqster has developed a platform that allows patients and their caregivers to collect, visualize, manage and share all of their health data in one app. We aggregate clinical data points across providers chronologically using the industry-standard coding systems that the HL7 community knows all too well.
Since the fall of 2017, electronic Clinical Quality Measures (eCQMs) logic has been written using Clinical Quality Language (CQL). With the introduction of CQL, the eCQMs included in the CMS federal programs had to be translated from Quality Data Model (QDM)-based expression logic to CQL.
Though CQL provides more flexibility in expressing measure criteria within the logic that allows measure developers to include greater specificity and precision within the measure requirements, this did not result in a direct translation process, as new attributes and timings were made available. What this means is that clinical workflow and input are perhaps more important because CQL is able to convey these nuances, whereas the QDM-based logic expressions were limited. CQL can also be used to develop Clinical Decision Support (CDS) rules and can reuse logic from measures in those CDS rules.
When composing measures using the CQL syntax, the QDM is still used in conjunction with CQL as the means to characterize required data elements within the measure logic. This conceptual model defines what type of clinical data is needed to satisfy the measure requirements. Therefore, the QDM is still very much a part of electronically specified measures, which is incorporated into the logic definitions written using CQL.