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Effective Data Sharing as a Conduit for Advancing Medical Product Development
Introduction Patient-level data sharing has the potential to significantly impact the lives of patients by optimizing and improving the medical product development process. In the product development setting, successful data sharing is defined as data sharing that is actionable and facilitates decis...
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Published in: | Therapeutic innovation & regulatory science 2021-05, Vol.55 (3), p.591-600 |
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container_title | Therapeutic innovation & regulatory science |
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creator | Karpen, Stephen R. White, J. Kael Mullin, Ariana P. O’Doherty, Inish Hudson, Lynn D. Romero, Klaus Sivakumaran, Sudhir Stephenson, Diane Turner, Emily C. Larkindale, Jane |
description | Introduction
Patient-level data sharing has the potential to significantly impact the lives of patients by optimizing and improving the medical product development process. In the product development setting, successful data sharing is defined as data sharing that is actionable and facilitates decision making during the development and review of medical products. This often occurs through the creation of new product development tools or methodologies, such as novel clinical trial design and enrichment strategies, predictive pre-clinical and clinical models, clinical trial simulation tools, biomarkers, and clinical outcomes assessments, and more.
Methods
To be successful, extensive partnerships must be established between all relevant stakeholders, including industry, academia, research institutes and societies, patient-advocacy groups, and governmental agencies, and a neutral third-party convening organization that can provide a pre-competitive space for data sharing to occur.
Conclusions
Data sharing focused on identified regulatory deliverables that improve the medical product development process encounters significant challenges that are not seen with data sharing aimed at advancing clinical decision making and requires the commitment of all stakeholders. Regulatory data sharing challenges and solutions, as well as multiple examples of previous successful data sharing initiatives are presented and discussed in the context of medical product development. |
doi_str_mv | 10.1007/s43441-020-00255-8 |
format | article |
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Patient-level data sharing has the potential to significantly impact the lives of patients by optimizing and improving the medical product development process. In the product development setting, successful data sharing is defined as data sharing that is actionable and facilitates decision making during the development and review of medical products. This often occurs through the creation of new product development tools or methodologies, such as novel clinical trial design and enrichment strategies, predictive pre-clinical and clinical models, clinical trial simulation tools, biomarkers, and clinical outcomes assessments, and more.
Methods
To be successful, extensive partnerships must be established between all relevant stakeholders, including industry, academia, research institutes and societies, patient-advocacy groups, and governmental agencies, and a neutral third-party convening organization that can provide a pre-competitive space for data sharing to occur.
Conclusions
Data sharing focused on identified regulatory deliverables that improve the medical product development process encounters significant challenges that are not seen with data sharing aimed at advancing clinical decision making and requires the commitment of all stakeholders. Regulatory data sharing challenges and solutions, as well as multiple examples of previous successful data sharing initiatives are presented and discussed in the context of medical product development.</description><identifier>ISSN: 2168-4790</identifier><identifier>EISSN: 2168-4804</identifier><identifier>DOI: 10.1007/s43441-020-00255-8</identifier><identifier>PMID: 33398663</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biomarkers ; Business competition ; Clinical decision making ; Clinical trials ; Data retrieval ; Decision making ; Drug Safety and Pharmacovigilance ; Information sharing ; Medical equipment ; Medical research ; Medicine ; Patients ; Pharmacotherapy ; Pharmacy ; Product development ; Research facilities ; Review</subject><ispartof>Therapeutic innovation & regulatory science, 2021-05, Vol.55 (3), p.591-600</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-5a8d2db0131c5faaa75f45a4ba19286c70c705e0aaed524b7156515a792975f43</citedby><cites>FETCH-LOGICAL-c474t-5a8d2db0131c5faaa75f45a4ba19286c70c705e0aaed524b7156515a792975f43</cites><orcidid>0000-0003-1055-9679</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,778,782,883,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33398663$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Karpen, Stephen R.</creatorcontrib><creatorcontrib>White, J. Kael</creatorcontrib><creatorcontrib>Mullin, Ariana P.</creatorcontrib><creatorcontrib>O’Doherty, Inish</creatorcontrib><creatorcontrib>Hudson, Lynn D.</creatorcontrib><creatorcontrib>Romero, Klaus</creatorcontrib><creatorcontrib>Sivakumaran, Sudhir</creatorcontrib><creatorcontrib>Stephenson, Diane</creatorcontrib><creatorcontrib>Turner, Emily C.</creatorcontrib><creatorcontrib>Larkindale, Jane</creatorcontrib><title>Effective Data Sharing as a Conduit for Advancing Medical Product Development</title><title>Therapeutic innovation & regulatory science</title><addtitle>Ther Innov Regul Sci</addtitle><addtitle>Ther Innov Regul Sci</addtitle><description>Introduction
Patient-level data sharing has the potential to significantly impact the lives of patients by optimizing and improving the medical product development process. In the product development setting, successful data sharing is defined as data sharing that is actionable and facilitates decision making during the development and review of medical products. This often occurs through the creation of new product development tools or methodologies, such as novel clinical trial design and enrichment strategies, predictive pre-clinical and clinical models, clinical trial simulation tools, biomarkers, and clinical outcomes assessments, and more.
Methods
To be successful, extensive partnerships must be established between all relevant stakeholders, including industry, academia, research institutes and societies, patient-advocacy groups, and governmental agencies, and a neutral third-party convening organization that can provide a pre-competitive space for data sharing to occur.
Conclusions
Data sharing focused on identified regulatory deliverables that improve the medical product development process encounters significant challenges that are not seen with data sharing aimed at advancing clinical decision making and requires the commitment of all stakeholders. Regulatory data sharing challenges and solutions, as well as multiple examples of previous successful data sharing initiatives are presented and discussed in the context of medical product development.</description><subject>Biomarkers</subject><subject>Business competition</subject><subject>Clinical decision making</subject><subject>Clinical trials</subject><subject>Data retrieval</subject><subject>Decision making</subject><subject>Drug Safety and Pharmacovigilance</subject><subject>Information sharing</subject><subject>Medical equipment</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Patients</subject><subject>Pharmacotherapy</subject><subject>Pharmacy</subject><subject>Product development</subject><subject>Research facilities</subject><subject>Review</subject><issn>2168-4790</issn><issn>2168-4804</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kU1LHTEUhkNRqqh_oIsS6KabqSdfk2RTkKu2BaUF7Tqcm8noyNzJbTJzof--Ga9adWEIJHCevCeHh5APDL4wAH2cpZCSVcChAuBKVeYd2eesNpU0IHce79rCHjnK-Q7KskZpbt6TPSGENXUt9snlWdsGP3abQE9xRHp1i6kbbihminQRh2bqRtrGRE-aDQ5-Ll2GpvPY018pNpMf6WnYhD6uV2EYD8lui30ORw_nAfl9fna9-F5d_Pz2Y3FyUXmp5VgpNA1vlsAE86pFRK1aqVAukVluaq-hbBUAMTSKy6VmqlZMobbczqg4IF-3uetpuQqNL60T9m6duhWmvy5i515Whu7W3cSN09qABVsCPj8EpPhnCnl0qy770Pc4hDhlx6VWwtZSzuinV-hdnNJQxnNcgbG6aJgpvqV8ijmn0D59hoGbhbmtMFeEuXthzpRHH5-P8fTkUU8BxBbI69lKSP97vxH7D9ljoAY</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Karpen, Stephen R.</creator><creator>White, J. Kael</creator><creator>Mullin, Ariana P.</creator><creator>O’Doherty, Inish</creator><creator>Hudson, Lynn D.</creator><creator>Romero, Klaus</creator><creator>Sivakumaran, Sudhir</creator><creator>Stephenson, Diane</creator><creator>Turner, Emily C.</creator><creator>Larkindale, Jane</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1055-9679</orcidid></search><sort><creationdate>20210501</creationdate><title>Effective Data Sharing as a Conduit for Advancing Medical Product Development</title><author>Karpen, Stephen R. ; White, J. Kael ; Mullin, Ariana P. ; O’Doherty, Inish ; Hudson, Lynn D. ; Romero, Klaus ; Sivakumaran, Sudhir ; Stephenson, Diane ; Turner, Emily C. ; Larkindale, Jane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-5a8d2db0131c5faaa75f45a4ba19286c70c705e0aaed524b7156515a792975f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Biomarkers</topic><topic>Business competition</topic><topic>Clinical decision making</topic><topic>Clinical trials</topic><topic>Data retrieval</topic><topic>Decision making</topic><topic>Drug Safety and Pharmacovigilance</topic><topic>Information sharing</topic><topic>Medical equipment</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Patients</topic><topic>Pharmacotherapy</topic><topic>Pharmacy</topic><topic>Product development</topic><topic>Research facilities</topic><topic>Review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karpen, Stephen R.</creatorcontrib><creatorcontrib>White, J. Kael</creatorcontrib><creatorcontrib>Mullin, Ariana P.</creatorcontrib><creatorcontrib>O’Doherty, Inish</creatorcontrib><creatorcontrib>Hudson, Lynn D.</creatorcontrib><creatorcontrib>Romero, Klaus</creatorcontrib><creatorcontrib>Sivakumaran, Sudhir</creatorcontrib><creatorcontrib>Stephenson, Diane</creatorcontrib><creatorcontrib>Turner, Emily C.</creatorcontrib><creatorcontrib>Larkindale, Jane</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Therapeutic innovation & regulatory science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karpen, Stephen R.</au><au>White, J. Kael</au><au>Mullin, Ariana P.</au><au>O’Doherty, Inish</au><au>Hudson, Lynn D.</au><au>Romero, Klaus</au><au>Sivakumaran, Sudhir</au><au>Stephenson, Diane</au><au>Turner, Emily C.</au><au>Larkindale, Jane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effective Data Sharing as a Conduit for Advancing Medical Product Development</atitle><jtitle>Therapeutic innovation & regulatory science</jtitle><stitle>Ther Innov Regul Sci</stitle><addtitle>Ther Innov Regul Sci</addtitle><date>2021-05-01</date><risdate>2021</risdate><volume>55</volume><issue>3</issue><spage>591</spage><epage>600</epage><pages>591-600</pages><issn>2168-4790</issn><eissn>2168-4804</eissn><abstract>Introduction
Patient-level data sharing has the potential to significantly impact the lives of patients by optimizing and improving the medical product development process. In the product development setting, successful data sharing is defined as data sharing that is actionable and facilitates decision making during the development and review of medical products. This often occurs through the creation of new product development tools or methodologies, such as novel clinical trial design and enrichment strategies, predictive pre-clinical and clinical models, clinical trial simulation tools, biomarkers, and clinical outcomes assessments, and more.
Methods
To be successful, extensive partnerships must be established between all relevant stakeholders, including industry, academia, research institutes and societies, patient-advocacy groups, and governmental agencies, and a neutral third-party convening organization that can provide a pre-competitive space for data sharing to occur.
Conclusions
Data sharing focused on identified regulatory deliverables that improve the medical product development process encounters significant challenges that are not seen with data sharing aimed at advancing clinical decision making and requires the commitment of all stakeholders. Regulatory data sharing challenges and solutions, as well as multiple examples of previous successful data sharing initiatives are presented and discussed in the context of medical product development.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>33398663</pmid><doi>10.1007/s43441-020-00255-8</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1055-9679</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomarkers Business competition Clinical decision making Clinical trials Data retrieval Decision making Drug Safety and Pharmacovigilance Information sharing Medical equipment Medical research Medicine Patients Pharmacotherapy Pharmacy Product development Research facilities Review |
title | Effective Data Sharing as a Conduit for Advancing Medical Product Development |
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