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The collaboration will enable clinical research sites to access structured and unstructured EMR/EHR data.
FREMONT, CA: "We are excited to partner with Aspen and bring the many amazing benefits of their transformative Forge solution to clinical research sites around the globe," said Rick Greenfield, Founder and President of RealTime. "Study participant recruitment continues to be one of the most challenging aspects of meeting enrollment targets and moving studies forward in an efficient manner. Aspen Insights' amazing application of AI and EMR mining techniques helps research sites further minimize the time required to identify the best candidates for study success, which ultimately allows lifesaving treatments to get to those who need it faster."
Aspen Insights and RealTime Software Solutions have teamed up to enhance RealTime's world-class Clinical Trial Management System (CTMS). In collaboration with these companies, clinical research sites will access structured and unstructured EMR/EHR data. This will enable them to analyze feasibility, practice population eligibility, physician review, and direct delivery of prequalified participants.
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"We are excited to bring our highly effective and proven EMR/EHR database mining technology to clinical research investigative sites to help solve one of the greatest challenges that the clinical research industry is faced with, effective and timely study recruitment," said Aspen Insights' CEO Walter Storm. "With the combination of Aspen Forge and RealTime, we are offering research organizations an end-to-end solution to not only simplify feasibility and candidate identification processes, but also seamlessly integrate enrollment processes and research operations cross-functionally between our systems. This helps eliminate two of the largest hurdles we hear from clients: 1. Optimizing which trials are chosen by a site through in-depth feasibility analysis of participant data and 2. Streamlining recruitment through a single, trackable workflow."
Achieving contracted enrollment goals has historically resulted in a 3x increase in study enrollments and a 4x increase in revenue for Aspen Insights customer goals. It includes the following powerful features:
It is possible to identify candidates by searching the medical records of patients and the clinical data that exceeds the search capabilities of standard EMRs (i.e., the search capabilities far exceed the ICD10 code search capabilities), saving up to 66 hours of manual chart review per study.
It matches candidate summaries highlighting aspects of the patient's health record that demonstrate eligibility for the study.
It is an excellent way to evaluate the feasibility of a trial based on trial inclusion and exclusion criteria using population analytics for all connected EMRs.
Deliver prequalified and physician-confirmed study candidates into RealTime-CTMS for recruitment, enrollment, and patient tracking purposes as part of the recruitment and enrollment process.
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