Minimizing administrative burden to maximize data insights and healthcare impact

In a broken healthcare system, vendors are often viewed as the innovators, operating outside the confines of provider interactions or health plans’ regulatory challenges to address the problems in healthcare.

Initiatives such as the 21st Century Cures Act sought to promote interoperability among these stakeholders to facilitate this innovation. Unfortunately, this can’t be accomplished without a cohesive, sharable, and standardized pool of data to inform future insights.

Healthcare data must be brought to industry standards to maximize its utility, reducing data variability and addressing quality issues between stakeholders. Robust analytics accelerate the speed to insights for patient populations through leveraging custom cohort design, automated terminology updates, and use-case specific clinical intelligence tied to quality programs. In this way, vendors can minimize their administrative burden while maximizing the impact of their solutions, using data as the common language to derive shared meaning.

Normalizing data lakes to improve data quality

Vendors are expected to have a holistic view of the healthcare ecosystem to tackle the problems providers and patients face today. However, maintaining data to these standards can be a time and resource-intensive undertaking, especially for vendors that may lack the clinical understanding to parse through data records. Health Language standardizes structured, semi-structured and unstructured data from multiple data sources, formats, and technologies using its clinically curated libraries of 1.3M clinical synonyms, acronyms, abbreviations, and misspellings to provide comprehensive, quality data to empower innovative solutions. Content is then mapped to interoperable industry standards to ensure the data can be shared in the same data language, in order for vendors to effectively power their solutions. This normalized data can also be used to ensure the accuracy of future AI models, establishing a consistent and accurate basis for future insights.

Facilitate data sharing with FHIR

Due to the rapidly evolving nature of medical ontologies and the resource intensive burden of maintaining a current view of industry standards, vendors that have access to trillions of data points may lack the ability to add value or derive meaning. Using the Health Language platform, integrated with Microsoft Azure, IT vendors can lean on Health Language’s AI-enabled data management tools to validate and translate their inbound data so it is ready for future analysis.

The FHIR-enabled terminology server includes all USCDI interoperability data standards mandated by the Office of the National Coordinator of Healthcare IT to provide clients with a comprehensive foundation of up to date clinical terminology (ICD-10-CM, ICD-10-PCS, HCPCS, LOINC, SNOMED-CT, RxNorm, CPT). The Health Language data models are updated monthly to always make sure good data translates to future insights. This ultimately allows IT vendors to get ahead of any industry needs, ensuring they can rapidly adapt to today’s evolving healthcare standards.


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