Orlando, FL, February 3, 2021 –Therigy®, the trusted provider for specialty pharmacy patient therapy management software and services, announced today that it has partnered with the UVA Health (UVA) Specialty Pharmacy, a TherigySTM customer, to deliver an electronic health record (EHR) integration that improves communications between their pharmacy, providers, and patients.
Therigy’s EHR integration deploys a bi-directional exchange of UVA’s patient data between the health system’s EHR and clinical activities completed within their specialty pharmacy patient therapy management system, TherigySTM. Therigy’s data team worked hand in hand with UVA’s IT team to securely integrate UVA’s patient data. Through a series of API exchanges and various testing phases, UVA’s patient data is now integrated real-time between both systems.
With Therigy’s EHR integration, UVA now can benefit from the following advantages:
“Interoperability is a necessity to achieving transformational goals in healthcare,” said Joe Morse, President of Therigy. “Our EHR integration solution empowers UVA Health Specialty Pharmacy to streamline their operational workflows and technologies, ultimately delivering unified data and measurable results.”
With the COVID-19 pandemic underscoring the importance of leveraging technology for greater patient management, Therigy is uniquely empowering its customers. Therigy’s EHR integration solution is built to meet customers wherever they are on their interoperability journey so they can rapidly grow their pharmacy and prove outcomes. Learn more about Therigy’s EHR integration here.
About Therigy
Therigy, LLC, an affiliate of CPS Solutions, LLC, provides patient-focused specialty therapy management software and services. Therigy equips pharmacy stakeholders with the tools to standardize and scale patient management programs—with a depth and consistency of clinical care not possible before—helping them to grow their patient population, deliver value-based outcomes, gain insights into evolving patient needs, and predict therapy trends.
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