Transforming Oncology Clinical Trials

How AI combined with a nationwide clinical data network identifies appropriate trial candidates in minutes. Download the white paper to learn more.

 

Download the white paper

Anyone planning a clinical trial is aware of the increasing time and effort it takes to find and recruit patients that meet the criteria. Prescreening has become a significant source of cost and delay, particularly for oncology trials. These problems can be solved through the use of an AI-powered pre-screening tool. To be useful, this tool must:
 

  • Extract information from unstructured clinical data

  • Automatically de-identify patient records

  • Use an oncology-specific natural language processing (NLP) engine to correctly identify clinical information, even when it is not explicit

  • Be guided by clinical staff who understand both the use of the tool and oncology clinical practice

  • Have access to large, heterogeneous clinical data sets

  • Be easily integrated into hospital contracts, operations, and IT functions

 

Download the white paper to learn more about the results that can be achieved through an AI-powered pre-screening tool.

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