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Updated: Sep 12, 2025

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
Institutional readiness for novel therapeutics: A framework for multidisciplinary integration
Elizabeth G Ames1, Nicholas A Borja2, Russell J Butterfield3
1Department of Pediatrics, University of Michigan Health System, Ann Arbor, MI, United States; Clinical Application of Newly Approved Treatments Working Group, National Organization for Rare Disorders (NORD®) Rare Disease Centers of Excellence, Quincy, MA, United States.
Abstract:
The landscape of therapeutic options for rare diseases is rapidly expanding, including a range of novel treatments such as antisense oligonucleotides, enzyme replacement therapies, targeted small molecules, mRNA, and gene replacement therapies. The integration of these high-cost, advanced therapeutics into clinical practice presents significant challenges. This focused review aims to outline the practical aspects of implementing non-gene therapy therapeutics that have been recently approved for rare diseases in a clinical setting, focusing on the multidisciplinary efforts required for successful integration, the coordination with various healthcare specialists, and the management of institutional and insurance-related barriers. Effective implementation necessitates strong institutional support and comprehensive infrastructure, including specialized clinics and dedicated pharmacy services. Key strategies involve developing new treatment protocols, ensuring robust payor support, and coordinating with pharmaceutical companies. The successful deployment of these new to market therapeutics hinges on a well-coordinated, institution-wide approach that addresses both clinical and logistical challenges. Emphasizing multi-disciplinary collaboration and patient-centric care, institutions can navigate the complexities of recently approved rare disease treatments, improving outcomes and access for this vulnerable patient population.
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