Uncover how the Databricks and XponentL partnership is permitting prospects to unlock their FHIR wants. Be taught extra about dbignite.
Think about you’re feeling beneath the climate. As a affected person, you need your ailment addressed with the least quantity of friction so to get again to full well being rapidly.
Regardless of which healthcare location you select (pressing care, main care doctor’s workplace, hospital), or which supplier you see, the care group’s potential to entry your holistic affected person journey information has by no means been extra vital to making sure environment friendly and efficient remedy.
Healthcare sits on an incredible quantity of information. In reality, healthcare as an {industry} is alleged to generate 30% of the world’s information. Every encounter you could have with a supplier generates breadcrumbs of your well being story. Given the variety of methods your supplier makes use of to seize this information, accessing your holistic well being story poses a major problem.
With the emergence of interoperable healthcare requirements, mixed with large information platforms, healthcare organizations are positioned right this moment greater than ever to construct an entire view of the affected person.
The Potential of Interoperable Healthcare Requirements – HL7 and FHIR
Right this moment, healthcare leverages interoperable interfacing requirements like HL7 v2 and Quick Healthcare Interoperability Assets (FHIR) to facilitate higher methods to trade information and see the person holistically, irrespective of the place their care group could also be, or the place the info is captured.
FHIR is designed to signify all permutations in healthcare with resource-specific information in a posh nested construction. The character of such an unlimited illustration makes it tough to each write FHIR from and browse FHIR into internally formatted customized schemas. dbignite, an open-source resolution constructed on Databricks, makes FHIR straightforward to work with, cementing itself as the subsequent large growth combating inefficiencies in healthcare information sharing.
XponentL Information co-developed dbignite as a FHIR converter and its capabilities far exceed expectations equivalent to:
- Writing to any FHIR useful resource from customized schemas, with minimal information mapping and code workouts
- Studying FHIR into customized schemas, using low code
- Supporting real-time streaming and analytics
- Extendability to make the most of customized FHIR sources
The cherry on high is that the entire dbignite capabilities run on pySpark and SQL, eliminating the necessity to study further languages as different FHIR converters require and democratizing entry to FHIR information to empower bigger audiences of customers.
Utilizing FHIR has by no means been quicker because of dbignite, and this new-found effectivity unlocks the utilization of our toolkit at a scale different FHIR conversion instruments can not match.
FHIR in Motion
Let’s take the instance of a big built-in supply community (IDN) group. Presumably, a lot of their clinics might want to learn and write FHIR. dbignite could be utilized in these cases at scale.
Nevertheless, the group may additionally have the will to view information from the completely different arms from a centralized hub. An structure could be orchestrated to have dbignite write FHIR from the a number of branches after which learn the info into the required format inside the hub. Moreover, dbignite could be leveraged to modernize any legacy information into the hub by the identical methodology.
Additional growth slated for the close to future consists of:
- Lowering the necessity to map sources between a FHIR schema and customized schema by using GenAI and Databricks Unity Catalog, which auto-describes tables and columns and may infer industry-specific which means
- Increasing to incorporate HL7 v2 and CCDA within the conversion to FHIR capabilities
Let’s Get Began
Unlock the total potential of FHIR for seamless, safe healthcare information entry. Request a demo right this moment to see dbignite in motion and rework your information interoperability.
About XponentL
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