کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
33374 44975 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysing stratified medicine business models and value systems: innovation-regulation interactions
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Analysing stratified medicine business models and value systems: innovation-regulation interactions
چکیده انگلیسی

Stratified medicine offers both opportunities and challenges to the conventional business models that drive pharmaceutical R&D. Given the increasingly unsustainable blockbuster model of drug development, due in part to maturing product pipelines, alongside increasing demands from regulators, healthcare providers and patients for higher standards of safety, efficacy and cost-effectiveness of new therapies, stratified medicine promises a range of benefits to pharmaceutical and diagnostic firms as well as healthcare providers and patients. However, the transition from ‘blockbusters’ to what might now be termed ‘niche-busters’ will require the adoption of new, innovative business models, the identification of different and perhaps novel types of value along the R&D pathway, and a smarter approach to regulation to facilitate innovation in this area. In this paper we apply the Innogen Centre's interdisciplinary ALSIS methodology, which we have developed for the analysis of life science innovation systems in contexts where the value creation process is lengthy, expensive and highly uncertain, to this emerging field of stratified medicine. In doing so, we consider the complex collaboration, timing, coordination and regulatory interactions that shape business models, value chains and value systems relevant to stratified medicine. More specifically, we explore in some depth two convergence models for co-development of a therapy and diagnostic before market authorisation, highlighting the regulatory requirements and policy initiatives within the broader value system environment that have a key role in determining the probable success and sustainability of these models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: New Biotechnology - Volume 29, Issue 6, 15 September 2012, Pages 709–719
نویسندگان
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