Axtria Presents Two HEOR/RWE Studies at ISPOR Europe 2022

    Axtria, a global cloud software, integrated RWE/HEOR analytics solutions provider, and AI/ML technology leader for the life sciences industry, will present two posters at this year’s ISPOR Europe 2022 conference that combine different modeling methods with the latest advanced analytics technologies. Both will highlight the clinical and economic benefits of anti-arrhythmic drugs (AADs) for treating atrial fibrillation (AFib) as well as insulin glargine for treating type 2 diabetes.

    The poster findings underscore Axtria’s work leading the evolution of advanced data analytics and intelligent software technology in the application of different real world evidence (RWE) research into advanced value-based models. Axtria’s latest thought leadership in this area, a white paper titled “Seeing the Whole Elephant: Integrated Data Analytics in Support of RWE” addresses the emergence of integrated RWE/HEOR analytics. This white paper can be found in Axtria’s Research Hub.

    The first Axtria poster, Clinical and Economic Outcomes Associated with Use of Anti-Arrhythmic Drugs Versus Ablation in Atrial Fibrillation (AFib), to be presented on Monday, November 7 at 15:00 (CET), utilizes a modeling approach called Rhythm Control to demonstrate the cost benefits of AADs compared to ablation as a treatment for AFib. The second Axtria poster, The Economic Value of Insulin Glargine 300 U/Ml (GLA-300) in People ≥18 Years of Age with Type 2 Diabetes Mellitus: A Value-Based Economic Model from a U.S. Payer Perspective, to be presented on Tuesday, November 8 at 15:00 (CET), uses another approach called prevalence-based value-based modeling to demonstrate the value and affordability of the insulin biosimilar glargine (Gla-300) over basal insulins for treating type 2 diabetes.
    Axtria’s two posters at ISPOR Europe 2022 follow research the company presented at ISPOR 2022 last May that showed the cost-lowering and therapeutic benefits of administering dronedarone versus other AAD drug combinations in treating AFib (link).

    “With the evolution in new and advanced analytics and AI/ML models, overlaying and combining these models with the diversity of traditional RWE study approaches and an ever-growing range of clinical and patient data sets, the field of HEOR has never been in a better position to help all healthcare decisionmakers determine the most effective and cost-efficient drug therapies and treatment regimens for patients across multiple disease categories,“ said Won Chan Lee, Ph.D., Principal and Head, RWE/HEOR, Axtria. “We look forward to sharing the results of our work in integrated RWD/RWE analytics with the HEOR professional community at ISPOR Europe 2022 via our poster findings. We feel that our posters shed significant new light on what therapies show the best value and benefits in such diverse diseases and conditions as type 2 diabetes and AFib,” added Dr. Lee.

    To schedule a meeting with Axtria’s HEOR team at ISPOR Europe 2022 and/or to learn more about Axtria’s integrated RWE/HEOR analytics solutions, please click here.

    Contact Information

    Michael Schneider
    Axtria, Inc.
    michael.schneider@axtria.com

    About Axtria

    Axtria helps life sciences companies harness the potential of data science and software to improve patient outcomes by connecting the right therapies to the right patients at the right time. The company is a leading global provider of award-winning cloud software and data analytics to the life sciences industry. We’re proud to deliver proven solutions that help pharmaceutical, medical device, and diagnostics companies complete their journey from data to insights to action, enabling them to earn superior returns on their investments. As a participant in the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption, and taking actions that advance societal goals. For more information, please visit www.axtria.com.

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