JITA: A Platform for Enabling Real Time Point-of-Care Patient Recruitment.


Journal

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
ISSN: 2153-4063
Titre abrégé: AMIA Jt Summits Transl Sci Proc
Pays: United States
ID NLM: 101539486

Informations de publication

Date de publication:
2020
Historique:
entrez: 2 6 2020
pubmed: 2 6 2020
medline: 2 6 2020
Statut: epublish

Résumé

Timely accrual continues to be a challenge in clinical trials. The evolution of Electronic Health Record systems and cohort selection tools like i2b2 have improved identification of potential candidate participants. However, delays in receiving relevant patient information and lack of real time patient identification cause difficulty in meeting recruitment targets. The authors have designed and developed a proof of concept platform that informs authorized study team members about potential participant matches while the patient is at a healthcare setting. This Just-In-Time Alert (JITA) application leverages Health Level 7 (HL7) messages and parses them against study eligibility criteria using Amazon Web Services (AWS) cloud technologies. When required conditions are satisfied, the rules engine triggers an alert to the study team. Our pilot tests using difficult to recruit trials currently underway at the UMass Medical School have shown significant potential by generating more than 90 patient alerts in a 90-day testing timeframe.

Identifiants

pubmed: 32477655
pmc: PMC7233033

Types de publication

Journal Article

Langues

eng

Pagination

355-359

Informations de copyright

©2020 AMIA - All rights reserved.

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Auteurs

Vincent Lee (V)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

Ketan Parekh (K)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

George Matthew (G)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

Qiming Shi (Q)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

Keith Pelletier (K)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

Aneth Canale (A)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

Katherine Luzuriaga (K)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

Jomol Mathew (J)

University of Massachusetts Medical School, Worcester, MA 01655, USA.

Classifications MeSH