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A dimensional warehouse for integrating operational data from clinical trials.
Farnum, Michael A; Mohanty, Lalit; Ashok, Mathangi; Konstant, Paul; Ciervo, Joseph; Lobanov, Victor S; Agrafiotis, Dimitris K.
Afiliación
  • Farnum MA; Covance, the Drug Development Division of LabCorp, Carnegie Center, Princeton, NJ, USA.
  • Mohanty L; Covance, the Drug Development Division of LabCorp, Carnegie Center, Princeton, NJ, USA.
  • Ashok M; Covance, the Drug Development Division of LabCorp, Carnegie Center, Princeton, NJ, USA.
  • Konstant P; Covance, the Drug Development Division of LabCorp, Carnegie Center, Princeton, NJ, USA.
  • Ciervo J; Covance, the Drug Development Division of LabCorp, Carnegie Center, Princeton, NJ, USA.
  • Lobanov VS; Covance, the Drug Development Division of LabCorp, Carnegie Center, Princeton, NJ, USA.
  • Agrafiotis DK; Covance, the Drug Development Division of LabCorp, Carnegie Center, Princeton, NJ, USA.
Database (Oxford) ; 20192019 01 01.
Article en En | MEDLINE | ID: mdl-30942863
ABSTRACT
Timely, consistent and integrated access to clinical trial data remains one of the pharmaceutical industry's most pressing needs. As part of a comprehensive clinical data repository, we have developed a data warehouse that can integrate operational data from any source, conform it to a canonical data model and make it accessible to study teams in a timely, secure and contextualized manner to support operational oversight, proactive risk management and other analytic and reporting needs. Our solution consists of a dimensional relational data warehouse, a set of extraction, transformation and loading processes to coordinate data ingestion and mapping, a generalizable metrics engine to enable the computation of operational metrics and key performance, quality and risk indicators and a set of graphical user interfaces to facilitate configuration, management and administration. When combined with the appropriate data visualization tools, the warehouse enables convenient access to raw operational data and derived metrics to help track study conduct and performance, identify and mitigate risks, monitor and improve operational processes, manage resource allocation, strengthen investigator and sponsor relationships and other purposes.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ensayos Clínicos como Asunto / Data Warehousing Límite: Humans Idioma: En Revista: Database (Oxford) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ensayos Clínicos como Asunto / Data Warehousing Límite: Humans Idioma: En Revista: Database (Oxford) Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos