Cargando…

ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology

The ASH Research Collaborative is a nonprofit organization established through the American Society of Hematology’s commitment to patients with hematologic conditions and the science that informs clinical care and future therapies. The ASH Research Collaborative houses 2 major initiatives: (1) the D...

Descripción completa

Detalles Bibliográficos
Autores principales: Wood, William A., Marks, Peter, Plovnick, Robert M., Hewitt, Kathleen, Neuberg, Donna S., Walters, Sam, Dolan, Brendan K., Tucker, Emily A., Abrams, Charles S., Thompson, Alexis A., Anderson, Kenneth C., Kluetz, Paul, Farrell, Ann, Rivera, Donna, Gertzog, Matthew, Pappas, Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Hematology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9153041/
https://www.ncbi.nlm.nih.gov/pubmed/34673922
http://dx.doi.org/10.1182/bloodadvances.2021005902
_version_ 1784717769093152768
author Wood, William A.
Marks, Peter
Plovnick, Robert M.
Hewitt, Kathleen
Neuberg, Donna S.
Walters, Sam
Dolan, Brendan K.
Tucker, Emily A.
Abrams, Charles S.
Thompson, Alexis A.
Anderson, Kenneth C.
Kluetz, Paul
Farrell, Ann
Rivera, Donna
Gertzog, Matthew
Pappas, Gregory
author_facet Wood, William A.
Marks, Peter
Plovnick, Robert M.
Hewitt, Kathleen
Neuberg, Donna S.
Walters, Sam
Dolan, Brendan K.
Tucker, Emily A.
Abrams, Charles S.
Thompson, Alexis A.
Anderson, Kenneth C.
Kluetz, Paul
Farrell, Ann
Rivera, Donna
Gertzog, Matthew
Pappas, Gregory
author_sort Wood, William A.
collection PubMed
description The ASH Research Collaborative is a nonprofit organization established through the American Society of Hematology’s commitment to patients with hematologic conditions and the science that informs clinical care and future therapies. The ASH Research Collaborative houses 2 major initiatives: (1) the Data Hub and (2) the Clinical Trials Network (CTN). The Data Hub is a program for hematologic diseases in which networks of clinical care delivery sites are developed in specific disease areas, with individual patient data contributed through electronic health record (EHR) integration, direct data entry through electronic data capture, and external data sources. Disease-specific data models are constructed so that data can be assembled into analytic datasets and used to enhance clinical care through dashboards and other mechanisms. Initial models have been built in multiple myeloma (MM) and sickle cell disease (SCD) using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and Fast Healthcare Interoperability Resources (FHIR) standards. The Data Hub also provides a framework for development of disease-specific learning communities (LC) and testing of health care delivery strategies. The ASH Research Collaborative SCD CTN is a clinical trials accelerator that creates efficiencies in the execution of multicenter clinical trials and has been initially developed for SCD. Both components are operational, with the Data Hub actively aggregating source data and the SCD CTN reviewing study candidates. This manuscript describes processes involved in developing core features of the ASH Research Collaborative to inform the stakeholder community in preparation for expansion to additional disease areas.
format Online
Article
Text
id pubmed-9153041
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Society of Hematology
record_format MEDLINE/PubMed
spelling pubmed-91530412022-05-31 ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology Wood, William A. Marks, Peter Plovnick, Robert M. Hewitt, Kathleen Neuberg, Donna S. Walters, Sam Dolan, Brendan K. Tucker, Emily A. Abrams, Charles S. Thompson, Alexis A. Anderson, Kenneth C. Kluetz, Paul Farrell, Ann Rivera, Donna Gertzog, Matthew Pappas, Gregory Blood Adv Health Services and Outcomes The ASH Research Collaborative is a nonprofit organization established through the American Society of Hematology’s commitment to patients with hematologic conditions and the science that informs clinical care and future therapies. The ASH Research Collaborative houses 2 major initiatives: (1) the Data Hub and (2) the Clinical Trials Network (CTN). The Data Hub is a program for hematologic diseases in which networks of clinical care delivery sites are developed in specific disease areas, with individual patient data contributed through electronic health record (EHR) integration, direct data entry through electronic data capture, and external data sources. Disease-specific data models are constructed so that data can be assembled into analytic datasets and used to enhance clinical care through dashboards and other mechanisms. Initial models have been built in multiple myeloma (MM) and sickle cell disease (SCD) using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and Fast Healthcare Interoperability Resources (FHIR) standards. The Data Hub also provides a framework for development of disease-specific learning communities (LC) and testing of health care delivery strategies. The ASH Research Collaborative SCD CTN is a clinical trials accelerator that creates efficiencies in the execution of multicenter clinical trials and has been initially developed for SCD. Both components are operational, with the Data Hub actively aggregating source data and the SCD CTN reviewing study candidates. This manuscript describes processes involved in developing core features of the ASH Research Collaborative to inform the stakeholder community in preparation for expansion to additional disease areas. American Society of Hematology 2021-12-13 /pmc/articles/PMC9153041/ /pubmed/34673922 http://dx.doi.org/10.1182/bloodadvances.2021005902 Text en © 2021 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.
spellingShingle Health Services and Outcomes
Wood, William A.
Marks, Peter
Plovnick, Robert M.
Hewitt, Kathleen
Neuberg, Donna S.
Walters, Sam
Dolan, Brendan K.
Tucker, Emily A.
Abrams, Charles S.
Thompson, Alexis A.
Anderson, Kenneth C.
Kluetz, Paul
Farrell, Ann
Rivera, Donna
Gertzog, Matthew
Pappas, Gregory
ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology
title ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology
title_full ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology
title_fullStr ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology
title_full_unstemmed ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology
title_short ASH Research Collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology
title_sort ash research collaborative: a real-world data infrastructure to support real-world evidence development and learning healthcare systems in hematology
topic Health Services and Outcomes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9153041/
https://www.ncbi.nlm.nih.gov/pubmed/34673922
http://dx.doi.org/10.1182/bloodadvances.2021005902
work_keys_str_mv AT woodwilliama ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT markspeter ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT plovnickrobertm ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT hewittkathleen ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT neubergdonnas ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT walterssam ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT dolanbrendank ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT tuckeremilya ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT abramscharless ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT thompsonalexisa ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT andersonkennethc ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT kluetzpaul ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT farrellann ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT riveradonna ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT gertzogmatthew ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology
AT pappasgregory ashresearchcollaborativearealworlddatainfrastructuretosupportrealworldevidencedevelopmentandlearninghealthcaresystemsinhematology