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Integrating clinical research within your practice often means performing time consuming, tedious searches through your EHR to identify the right patients for clinical trial enrollment. Aspen Forge is a machine learning application that quickly and easily matches patients to clinical trials. It uses natural language processing and understanding to not only search through patient clinical records by ICD10 codes but also by using the unstructured, free-form text within the clinical record to find highly probable candidates.
This application allows you to once again focus on the joys of participating in clinical research. Aspen Forge features the ability to perform enrollment feasibility analysis and patient-trial matching, complete with predictive enrollment simulations and explainable AI to understand the reasons a specific patient was matched.
• Allow the machine to sift through hundreds of millions of patient records, exponentially reducing your chart review time. • Leverage simulation capabilities to provide sponsors with a risk adjusted enrollment projection. • Iterate on patient-trial match criteria by easily inputting key trial inclusion and exclusion criteria. • Instantly be presented with a ranked list of highly probable candidates. • View a comprehensive reason for why each patient may qualify for the trial.