In today’s interconnected world, the importance of seamless data exchange and interoperability cannot be overstated. Enter FHIR (Fast Healthcare Interoperability Resources), the standardization solution that tackles the exorbitant costs of data integration head-on.
By adopting FHIR, healthcare professionals gain a remarkable power: a comprehensive view of patients’ medical histories across various clinics and hospitals, empowering them to make well-informed decisions. Moreover, FHIR simplifies the integration of medical devices from different manufacturers, effortlessly facilitating data exchange. This not only saves substantial time and money but also enhances the overall efficiency of healthcare operations.
However, let us not disregard the challenges that come hand in hand with adopting FHIR. While many organizations aspire to embrace this technology, mapping existing data exchange interfaces to FHIR can present a significant obstacle akin to fitting a square peg into a round hole.
Bridging the Gap in Converting EHR Extracts to FHIR
In numerous cases, healthcare providers still rely on outdated flat files for batch data exchange. While specific interfaces support real-time integrations with FHIR messages, it falls upon the IT/Data Integration teams to construct the data pipelines and convert EHR data extracts into FHIR resources. A tedious, time-consuming process that proves challenging to maintain and can incur substantial costs.
Let us recount an inspiring tale featuring one of our customers—a HealthTech provider. They embraced FHIR as their internal Canonical data model. However, they encountered a roadblock when they sought to onboard new clients (hospitals) who persisted in sending the traditional EHR flat files. Soon enough, they realized that implementing and supporting these integrations consumed a disproportionate amount of time and resources. Driven by the desire to find a better solution, they embarked on a quest.
Picking the Right Solution
Their quest entailed finding a solution capable of saving time and money while seamlessly integrating into their existing infrastructure without causing disruption. Moreover, it had to possess the flexibility to accommodate multiple data ontologies.
In their quest, they discovered Datuum.ai, the ultimate ally for this undertaking. Datuum’s pre-trained AI engine analyzes all inbound data, creating a mapping between the source data and FHIR ontology, subsequently generating FHIR resources.
Furthermore, the entire process unfolds through a user-friendly no-code interface, obviating the need for developers to expend valuable time on data mapping and integration tasks. Positioned at the inception of the data journey, Datuum seamlessly integrates into the pre-existing data infrastructure. A notable advantage of Datuum is its transparency, empowering data analysts to comprehend the transformation process and address any issues that may arise.
Unlocking the Potential of Interoperability
By harnessing the power of Datuum’s no-code tool, the company triumphantly overcame the challenges associated with adopting FHIR. This achievement not only established smooth data exchange capabilities but also expedited the onboarding process for their customers. Consequently, the company experienced remarkable time and cost savings while underscoring its commitment to ensuring customer satisfaction.
