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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |