Aspen Prospector

The delays in clinical research negatively impact pharmaceutical, biotechnology, and medical device companies by resulting in significant loss in operational and opportunity costs.

Every day that the R&D phase extends, the price of treatment options for patients that may desperately need them increases.

Patient recruitment during the clinical research process is a key driver in these delays and is typically responsible for about one-third of the total cost of clinical trials1.

Industry benchmark data suggests that about two-thirds of patients recruited fail to pass the pre-­screening process2 alone, accounting for a considerable amount of wasted time and money.

Patient recruitment during the clinical research process is a key driver in these delays and is typically responsible for about one-third of the total cost of clinical trials1.

Industry benchmark data suggests that about two-thirds of patients recruited fail to pass the pre-­screening process2 alone, accounting for a considerable amount of wasted time and money.

Aspen Prospector provides a means to dramatically increase enrollment rates by using sophisticated

machine learning algorithms and electronic health records.

This cutting edge technology analyzes numerous characteristics of the patient population to identify individuals that meet the trial criteria with an extremely high confidence, which enables optimal site location selection and streamlined recruitment processes.

Feasibility Results

Feasibility Results

Do you have a site in mind for hosting your clinical trial? We can provide you with feasibility results to help you determine if patients in that area have a high probability of being eligible candidates.
Patient Match

Patient Matches

If you have already chosen a site and need help recruiting, we can provide you with a list of patients to target for enrollment based upon their clinical history.
Trial Criteria Analysis

Trial Criteria Analysis

If you have a trial in the development stage, we can assist with designing the inclusion and exclusion criteria to maximize the candidate population.