戻る Agenda
Use of Real World Data in Clinical Trials: Abstracting Endpoints from Encounters
Session Chair(s)
Debra Fasteson Harris
Associate Director (Operations), Pragmatic Health Systems Research (PHSR)
Duke Clinical Research Institute, United States
Standardizing real world data, consisting of EHR and claims encounters, into a clinical trial endpoint relies on a complex process of selecting the appropriate data-set and filtering, mapping and merging healthcare encounters from EHR to trial endpoints.This session will describe and appraise approaches and challenges in formulating the endpoints, in both prospective and retrospective research projects, with a focus on cardiovascular endpoints as well as demographic data.
Learning Objective : Describe process to extract clinical trial endpoints from EHR and claims datasets; Identify how to apply a process to supplement objective EHR and claims dataset endpoints with correlated patient-reported outcomes.
Speaker(s)
Phenotypic Diagnosis of Rare or Difficult to Diagnose Diseases
Richard Gliklich, MD
OM1, United States
Founder
PRO Perspective not Typically Available in EHR or Other Large Existing Real World Datasets
Amanda Harrington
Duke Clinical Reserach Institute, United States
Lead Clinical Trial Coordinator