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JITA: A Platform for Enabling Real Time Point-of-Care Patient Recruitment.
Lee, Vincent; Parekh, Ketan; Matthew, George; Shi, Qiming; Pelletier, Keith; Canale, Aneth; Luzuriaga, Katherine; Mathew, Jomol.
Afiliación
  • Lee V; University of Massachusetts Medical School, Worcester, MA 01655, USA.
  • Parekh K; University of Massachusetts Medical School, Worcester, MA 01655, USA.
  • Matthew G; University of Massachusetts Medical School, Worcester, MA 01655, USA.
  • Shi Q; University of Massachusetts Medical School, Worcester, MA 01655, USA.
  • Pelletier K; University of Massachusetts Medical School, Worcester, MA 01655, USA.
  • Canale A; University of Massachusetts Medical School, Worcester, MA 01655, USA.
  • Luzuriaga K; University of Massachusetts Medical School, Worcester, MA 01655, USA.
  • Mathew J; University of Massachusetts Medical School, Worcester, MA 01655, USA.
AMIA Jt Summits Transl Sci Proc ; 2020: 355-359, 2020.
Article en En | MEDLINE | ID: mdl-32477655
ABSTRACT
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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos