Discover how the collaboration between Databricks and XponentL is empowering customers to unlock their FHIR potential. Be taught extra about .
What’s simmering beneath the surface of our planet? As an individual impacted by their condition, prompt and efficient treatment is crucial to minimize disruptions and facilitate a swift return to optimal health.
Regardless of the healthcare setting – urgent care, primary care physician’s office, or hospital – seamless access to a patient’s comprehensive medical history is crucial for delivering effective and efficient care.
Healthcare systems are sitting on a vast treasure trove of valuable data. Actually, healthcare as an industry is claimed to generate billions of dollars annually. Each interaction with a supplier leaves behind crumbs from the narrative of your overall wellness journey. Given the diverse range of software tools utilized by your provider to capture this data, accessing your comprehensive wellbeing narrative presents a significant challenge.
As interoperability standards and massive knowledge platforms converge, healthcare organizations now have unprecedented opportunities to compile a comprehensive picture of each patient.
What are the implications of interoperability in healthcare? The answer lies in standards such as HL7 and FHIR. These standards hold the potential to revolutionize patient care by ensuring seamless communication between different healthcare providers, systems, and organizations.
Healthcare relies on standardized interfaces such as HL7 v2 and Fast Healthcare Interoperability Resources (FHIR) to seamlessly share patient data and provide a comprehensive view of a person’s health, regardless of where their care team operates or where information is recorded.
FHIR’s architecture enables seamless integration across the healthcare ecosystem by encapsulating resource-specific expertise within a hierarchical framework. The sheer scale of this depiction poses a significant challenge in writing FHIR from and seamlessly translating FHIR into internal, customizable schema formats. An open-source construct on Databricks simplifies working with FHIR, solidifying its position as a significant advancement addressing inefficiencies in healthcare information exchange.
Xponential Knowledge co-developed dbIgnite as a FHIR converter, exceeding expectations in its capabilities.
- Generating FHIR resources using customized schemas with streamlined schema mapping and concise coding exercises.
- Focusing on crafting tailored FHIR schema definitions with minimal coding effort?
- Supporting real-time streaming and analytics
- How do we leverage customization to amplify the potential of FHIR sources for a wide range of applications?
The crowning glory lies in the fact that dbignite’s capabilities are powered by pySpark and SQL, thereby obviating the need for users to learn additional programming languages required by various FHIR converters and democratizing access to FHIR expertise, empowering a broader range of customers.
With dbignite’s innovative approach, harnessing FHIR capabilities has never been more expedient, allowing for unparalleled scalability that outstrips traditional FHIR conversion tools.
FHIR in Motion
What happens when a vast network of DIY enthusiasts and makers comes together to share expertise and resources? It’s likely that many of their clinics would benefit from learning about and implementing FHIR standards. DBIgnite might be utilized at scale for large-scale analytics and data warehousing applications.
Despite this, the group might also possess the desire to access information from various disciplines through a unified platform. A structure may be designed to orchestrate DBIgnite’s writing of FHIR data from multiple branches, subsequently learning and formatting the information within the hub. Furthermore, dbignite could potentially be utilized to contemporize existing expertise and integrate it seamlessly into the hub through a consistent approach.
Further enhancements planned for the near term comprise:
- By leveraging GenAI and Databricks Unity Catalog, organizations can significantly reduce the need to manually map sources between their FHIR schema and customized schema, thereby streamlining data integration processes. This is achieved through automated table and column description, as well as potential inference of industry-specific meanings.
- Developing a comprehensive integration that seamlessly incorporates the versatility of HL7 v2, CCDA, and FHIR capabilities.
Let’s Get Began
Unleash the full capabilities of Fast Healthcare Interoperability Resources (FHIR) to enable secure, streamlined healthcare data entry and facilitate seamless information exchange across the industry. Can we schedule a live demonstration today to explore the practical application of our interoperability solutions?
About XponentL
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