Data Management

ELLKAY Releases a New Data Management Solution

ELLKAY

ELLKAY, LLC, a leader in healthcare interoperability for over 19 years, has released its data aggregation solution, LKAggregate, to the Epic App Orchard. LKAggregate fuels Epic Healthy Planet with data from disparate EHRs. This new solution is designed to minimize data aggregation workload and maximize the benefit of having ready access to clean, actionable information.

LKAggregate streamlines the process of getting EHR data into Healthy Planet. Data elements are pulled such as allergies, medications, immunizations, health concerns, procedures, results, vitals, and encounters, and the solution transforms the data into a consistent format for ingestion into Epic via common interfaces. LKAggregate is also flexible to meet each organization’s unique needs and rapidly maps data elements to Healthy Planet requirements.

Kamal Patel, Co-Founder and Chief Executive Officer of ELLKAY, said, “We are thrilled to have another ELLKAY solution added to App Orchard. We know how important it is to assist Epic clients with integration to Healthy Planet, and LKAggregate makes that integration possible.”

ELLKAY has 20 years of experience extracting data from over 200 EHRs and is not limited by connectivity requirements. Aggregating data in complex networks is second nature to ELLKAY, using streamlined processes to onboard clients quickly and consistently, while its team of experts manages the analysis, testing, and deployment of ELLKAY’s solutions with each EHR.

In 2019, ELLKAY listed LKArchive in the App Orchard, which allows clients to cut costs by retiring their legacy systems, storing legacy data in one centralized solution available from Epic via single sign on.

Ajay Kapare, ELLKAY’s Chief Strategy and Marketing Officer, said, “LKAggregate will bring tremendous value to our users. We are proud to provide a solution that supports the important mission of population health and social determinates of health analytics and reporting, and improved care coordination through enabling access to data across disparate data sources at scale while conforming to high quality standards.”

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