Elevating Clinical Study Success Rates with Multisite Feasibility

In a recent blog, we discussed the inextricable link between the ability to conduct feasibility with speed and precision and ultimate clinical trial success. We noted that good feasibility increases the probability of meeting enrollment goals, and promotes the reputation of the researchers conducting the study leading to more resources, research opportunities and, revenue growth – not to mention contributing to the accelerated development of life-saving drugs and therapies.

While speed and accuracy are critical, the ability to identify and capture potential eligible trial candidates across multiple sites and systems is of equal importance.

As healthcare organizations have grown, the volume of patient data records has grown as well. Even in today’s digital information age, when the time comes to evaluate the appropriateness and suitability of a prospective study, many site management organizations simply do not have visibility across the entirety of their patient data network. In some cases, research sites run feasibility via structured data queries against insurance codes. This typically yields a very large pool of patients, most of whom are not likely to meet the inclusion or exclusion criteria of a protocol. In other cases, feasibility is done through simple guesswork and informal discussions with physicians in the network.

These outdated and archaic approaches to feasibility often result in study sites taking on trials for which they do not have adequate candidates, wasting time, money, and valuable research-related resources. In fact, it is one of the key reasons why 70-90% of clinical studies fail, according to Harvard Business Review.

The next evolution in feasibility is the ability for a research organization of any size and geographic breadth to look across the entirety of their network in real-time and find potential study candidates across their EMR(s).

This is where BEKhealth is at its best.

Simply stated, BEKhealth’s technology identifies where patients are located across a site or hospital network, in real time. BEKhealth’s advanced clinical research platform looks at EMR data across all sites – large and small – to find eligible study candidates.

No matter the size of the research network or number of sites, BEKhealth’s proprietary technology aggregates data across the entire patient network to deliver with a seamless, single sign-on access to all patient data, precluding the need to run time-wasting individual, separate searches across the databases. BEKhealth can accommodate and match all operational safeguards, limiting access to appropriate individuals as dictated by specific trial and site locations, ultimately ensuring the utmost security and privacy.

Because BEKhealth has adapters that are already approved by major EMR vendors – as well as audited annually by 3rd party organizations – installation timeline can typically occur within 4-to-8 weeks, as compared to a 9-to-12 months for those who must develop custom code. Once installed, BEKhealth can run feasibility in a matter of minutes and produce a report enabling more informed decisions about which studies should be taken on based on the likelihood of success.

On a separate but related note, BEKhealth’s multisite feasibility can also help pharmaceutical companies target the right research organizations for their studies, reducing the guesswork that arises when a protocol is ready to be put into the field.

Simply stated, multisite feasibility capabilities can be a game-changer, time-saver, and revenue generator for any healthcare organization with numerous research sites.

Read More

Using AI to Transform Your Clinical Trial Recruitment Process

Using AI to Transform Your Clinical Trial Recruitment ProcessClinical trial recruitment must evolve to keep pace with advances in the broader scope of clinical research. To make this happen, researchers need to sort through an immense volume of patient data to...

How to Enhance Clinical Trial Recruitment with AI

How to Enhance Clinical Trial Recruitment with AIThe quest for diverse and inclusive clinical trial patient populations faces many hurdles, from geographic to socioeconomic barriers. Yet, achieving diversity is crucial; it ensures that new treatments are effective...