ProjectFlow: a configurable workflow management application for point of care research.

clinical trial data sharing diuretic embedded pragmatic learning healthcare precision oncology randomization veterans

Journal

JAMIA open
ISSN: 2574-2531
Titre abrégé: JAMIA Open
Pays: United States
ID NLM: 101730643

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 02 03 2021
revised: 21 05 2021
accepted: 16 08 2021
entrez: 6 9 2021
pubmed: 7 9 2021
medline: 7 9 2021
Statut: epublish

Résumé

To best meet our point-of-care research (POC-R) needs, we developed ProjectFlow, a configurable, clinical research workflow management application. In this article, we describe ProjectFlow and how it is used to manage study processes for the Diuretic Comparison Project (DCP) and the Research Precision Oncology Program (RePOP). The Veterans Health Administration (VHA) is the largest integrated health care system in the United States. ProjectFlow is a flexible web-based workflow management tool specifically created to facilitate conduct of our clinical research initiatives within the VHA. The application was developed using the Grails web framework and allows researchers to create custom workflows using Business Process Model and Notation. As of January 2021, ProjectFlow has facilitated management of study recruitment, enrollment, randomization, and drug orders for over 10 000 patients for the DCP clinical trial. It has also helped us evaluate over 3800 patients for recruitment and enroll over 370 of them into RePOP for use in data sharing partnerships and predictive analytics aimed at optimizing cancer treatment in the VHA. The POC-R study design embeds research processes within day-to-day clinical care and leverages longitudinal electronic health record (EHR) data for study recruitment, monitoring, and outcome reporting. Software that allows flexibility in study workflow creation and integrates with enterprise EHR systems is critical to the success of POC-R. We developed a flexible web-based informatics solution called ProjectFlow that supports custom research workflow configuration and has ability to integrate data from existing VHA EHR systems.

Identifiants

pubmed: 34485848
doi: 10.1093/jamiaopen/ooab074
pii: ooab074
pmc: PMC8411372
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ooab074

Informations de copyright

Published by Oxford University Press on behalf of the American Medical Informatics Association 2021. This work is written by US Government employees and is in the public domain in the US.

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Auteurs

Rupali Dhond (R)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Danne Elbers (D)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Nilla Majahalme (N)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Svitlana Dipietro (S)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Sergey Goryachev (S)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Ryan Acher (R)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Sarah Leatherman (S)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Tori Anglin-Foote (T)

VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA.

Qingzhu Liu (Q)

VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA.

Shaoyu Su (S)

VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA.

Ramana Seerapu (R)

VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA.

Robert Hall (R)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Ryan Ferguson (R)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Mary T Brophy (MT)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Jeff Ferraro (J)

VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA.

Scott L DuVall (SL)

VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA.

Nhan V Do (NV)

VA Boston Healthcare System, Boston, Massachusetts, USA.

Classifications MeSH