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Innovation as new non-validated practice: the case of Latin America

Authors: Mastroleo, Ignacio; Holzer, Felicitas;

Innovation as new non-validated practice: the case of Latin America

Abstract

Terms such as innovation or innovative care have recently gained importance in relation to offering new options for desperate patients with serious conditions and without reasonable alternatives. However, innovation has multiple meanings. Therefore, this presentation aims, first, to distinguish one specific meaning from traditional research ethics and, second, to propose “new non-validated practice” as a better designation for future use in a framework of responsible use of innovative care. To identify this meaning, we start with the traditional research ethics’ distinction between research, validated practice, and innovation. Then, we propose a refined definition of innovation as new non-validated practice, that is, the use of new, scientifically sound interventions with an insufficient level of validation for regular healthcare, that aim to benefit individual patients. We then analyze the three core elements of our definition and present a classification for interventions used in practice, namely, novelty, validation, and the intention to benefit patients. Finally, we show the practical potential of our proposal by discussing epistemic and ethical concerns of new non-validated practice, special types of research that target patients’ unmet health needs and serious conditions, as well as the implications on new regulatory standards.

{"references": ["Holzer, F. S., & Mastroleo, I. D. (2018). Ethical Aspects of Precision Medicine: An Introduction to the Ethics and Concept of Clinical Innovation. In H.-P. Deigner & M. Kohl (Eds.), Precision Medicine: Tools and Quantitative Approaches (pp. 1\u201319). London: Academic Press-Elsevier. https://doi.org/10.1016/B978-0-12-805364-5.00001-9"]}

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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