Achieving healthcare interoperability at any level, by definition, requires at least two parties working together. Achieving it on a global scale requires a shared dedication of the many to the common good. Consider the vision statements of two organizations:
A Little About HL7
HL7® FHIR® DevDays Comes to the U.S.
Boston is on FHIR!
HL7® FHIR® DevDays in Boston just concluded. This first US Edition of HL7 FHIR DevDays exceeded expectations in all respects. Attendance eclipsed all previous HL7 FHIR DevDays events and there was a waiting list. The content was stellar and was a window into the rapidly changing future of healthcare data liquidity and secure data access that is starting to become reality. Furthermore, the State Room venue on the 33rd floor above downtown Boston was spectacular.
Caption: View of downtown Boston from the State Room on the 33rd floor.
How Applicadia Leverages FHIR, CQL and CIMI
The medical software industry often exhibits great reluctance in adopting new approaches and technology. HL7 Fast Healthcare Interoperability Resources (FHIR®), which has been enthusiastically embraced, is an exception. FHIR is in the limelight and is being adopted at an unprecedented rate. However, FHIR also has two other sister-standards that aren’t getting the attention they deserve: Clinical Quality Language (CQL) and the Clinical Information Modeling Initiative (CIMI). When combined with FHIR, CQL and CIMI bring powerful and important capabilities to healthcare platforms that go far beyond what FHIR can deliver on its own.
Applicadia Wins Best in Show at HL7's March 2017 FHIR Applications Roundtable
Applicadia’s mission is to build a suite of tools, components and libraries, that facilitate the integration of FHIR, CQL and CIMI clinical models into existing healthcare platforms.
At the HL7 FHIR Application Roundtable event, Applicadia demonstrated a novel speech-based charting application that leverages Clinical Natural Lanugage Processing (NLP) and CIMI clinical models to capture structured information at the point-of-care, without ever having to touch a keyboard. As a clinician speaks, SNOMED CT and LOINC descriptors are built from his or her statements and used to determine which pre-defined schema (CIMI clinical model) best describes the clinical situation. The system can then prompt for additional information, as necessary, until a fully encoded and computable standards-compliant medical record is produced that conforms to the expectations of its matching FHIR profile.
You can watch the Applicadia demo from the March 2017 FHIR Applications Roundtable by clicking here.
Draft FHIR Product Priorities for Release 4
It’s my pleasure to make you aware of the next HL7 FHIR Connectathon taking place on Saturday, May 6 and Sunday, May 7 in Madrid, Spain. This event takes place in conjunction with the May 2017 International Conference & Working Group Meeting.
Hard to believe, but it’s already the 15th one and we look forward to many more.
If you are thinking about attending this Connectathon, but you’re not sure if it is right for you, or even where to start, as one of the organizers, I can help.
The HL7 FHIR® Applications Roundtable: A Showcase of FHIR-Based Solutions
An Attendee's Perspective
This month, I had the pleasure of attending the HL7 FHIR Applications Roundtable at Duke University. As an MD that recently defected into the software world, I'm going to take a few paragraphs to briefly explain the significance of HL7 and Fast Healthcare Interoperability Resources (FHIR) to my non-technical friends and medical school colleagues.
Google Cloud Platform to Work with HL7 FHIR Foundation by Providing the Underlying Cloud Technology for the HL7 FHIR Developer Community
Health Level Seven® International (HL7®), the global authority for interoperability in healthcare information technology with members in 55 countries, today announced that the HL7 FHIR Foundation is now working with Google to support HL7’s Fast Healthcare Interoperability Resources (FHIR) standard and the FHIR community using Google Cloud Platform.
Excitement Filled the Room
It was already 9:23 am. One could argue that on a normal Saturday morning, that's an early start time.
It seemed like 20+ round tables, packed close to each other, each with 6 to 10 participants, elbow to elbow. Some attendees engaged in lively discussion, some furiously wrote code, and some just stared at their screens (most displaying a FHIR resource page) brows creased in concentration.
Where Do I Start?
Why couldn’t I drag my behind out of bed a little earlier for the opening remarks so I could orient myself better?
Which table should I start from?
In this mild confusion, I walked past each table to see if I could find anyone I knew or a track I was familiar with.