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Transforming scientific evidence into better consumer choices

Translational research using evidence-based and comparative effectiveness research continues to evolve, becoming a useful tool in improving informed consent and decision-making in the clinical setting. While in development, emerging technologies, including cellular and molecular biology, are leading...

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Detalles Bibliográficos
Autores principales: Bauer, Janet G, Chiappelli, Francesco
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043351/
https://www.ncbi.nlm.nih.gov/pubmed/21364832
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author Bauer, Janet G
Chiappelli, Francesco
author_facet Bauer, Janet G
Chiappelli, Francesco
author_sort Bauer, Janet G
collection PubMed
description Translational research using evidence-based and comparative effectiveness research continues to evolve, becoming a useful tool in improving informed consent and decision-making in the clinical setting. While in development, emerging technologies, including cellular and molecular biology, are leading to establishing evidence-based dental practices. One emerging technology, which conjoins bench proteomic findings to clinical decision-making for treatment intervention, is the Translational Evidence Mechanism. This mechanism was developed to be a foundation for a compact between researcher, translational researcher, clinician, and patient. The output of such a mechanism is the clinical practice guideline (CPG), an interactive tool for dentists and patients to game evidence in reaching optimum clinical decisions that correspond to individual patient preferences and values. As such, the clinical practice guideline requires the vesting of decision, utility, and cost best evidence. Evidence-based research provides decision data, a first attempt at supporting decision-making by providing best outcome data. Since then comparative effectiveness research has emerged, using systematic review analysis to compare similar treatments or procedures in maximizing the choice of the most effective cost/benefit option within the context of best evidence. With innovation in the clinical practice guideline for optimizing efficacy and comparative effectiveness research, evidence-based practices will shape a new approach to health-based systems that adhere to shared decision-making between bench scientists, healthcare providers and patients.
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spelling pubmed-30433512011-03-01 Transforming scientific evidence into better consumer choices Bauer, Janet G Chiappelli, Francesco Bioinformation Prediction Model Translational research using evidence-based and comparative effectiveness research continues to evolve, becoming a useful tool in improving informed consent and decision-making in the clinical setting. While in development, emerging technologies, including cellular and molecular biology, are leading to establishing evidence-based dental practices. One emerging technology, which conjoins bench proteomic findings to clinical decision-making for treatment intervention, is the Translational Evidence Mechanism. This mechanism was developed to be a foundation for a compact between researcher, translational researcher, clinician, and patient. The output of such a mechanism is the clinical practice guideline (CPG), an interactive tool for dentists and patients to game evidence in reaching optimum clinical decisions that correspond to individual patient preferences and values. As such, the clinical practice guideline requires the vesting of decision, utility, and cost best evidence. Evidence-based research provides decision data, a first attempt at supporting decision-making by providing best outcome data. Since then comparative effectiveness research has emerged, using systematic review analysis to compare similar treatments or procedures in maximizing the choice of the most effective cost/benefit option within the context of best evidence. With innovation in the clinical practice guideline for optimizing efficacy and comparative effectiveness research, evidence-based practices will shape a new approach to health-based systems that adhere to shared decision-making between bench scientists, healthcare providers and patients. Biomedical Informatics 2010-01-06 /pmc/articles/PMC3043351/ /pubmed/21364832 Text en © 2011 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Prediction Model
Bauer, Janet G
Chiappelli, Francesco
Transforming scientific evidence into better consumer choices
title Transforming scientific evidence into better consumer choices
title_full Transforming scientific evidence into better consumer choices
title_fullStr Transforming scientific evidence into better consumer choices
title_full_unstemmed Transforming scientific evidence into better consumer choices
title_short Transforming scientific evidence into better consumer choices
title_sort transforming scientific evidence into better consumer choices
topic Prediction Model
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043351/
https://www.ncbi.nlm.nih.gov/pubmed/21364832
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