It is common for pharmaceutical companies to carry out thousands of research and clinical trials every year to test new products and drugs. As is the case in every market sector where there is a particular problem needing a solution, there is also increasing competition among pharmaceutical companies to produce the right treatment for any given condition. One challenge this poses is finding the right patients to enroll in these trials. Approximately 80% of clinical research and trials end abruptly due to issues with participant recruitment. Likewise, some results of these trials come up as inadequate due to a lack of diversity in clinical trials.
Selecting participants for clinical trials can be challenging when trying to find the right fit for each situation, and it requires a conscientious and detailed approach. To reduce the stress of recruiting the right patient for each trial, it is crucial to know who to ask, when to ask, and how to ask for clinical trial participation. By focusing on the who question, you eliminate the possible challenges of minorities underrepresented in clinical trials.
Based on this analysis, we created e-DICT. This Machine Learning tool expedites recruitment, meeting your goals of time, cost, and diversity. Trained to use predictive analytics, e-DICT helps to increase your patient enrollment for clinical trials in several ways:
Time is crucial in any clinical trial; from research to recruitment and testing, time plays a major role in defining the results of the trial, and real-time data helps researchers make necessary and timely adjustments. e-DICT recognizes the importance of real-time data and collects accurate information that helps you avoid unnecessary delays and missing, inaccurate or incomplete information from participants. e-DICT also reduces the time spent during recruitment by targeting potential participants within diverse communities quickly and efficiently.
Most successful studies or trials try different enrollment strategies, including media usage, different messaging, etc. While acknowledging the success rates of these strategies, it has become equally important to consider their cost-effectiveness. Researchers often do not realize that they could achieve the same, or even more accurate, results by implementing a less expensive and simpler recruitment strategy. e-DICT offers accurate reports on a broad range of diverse participants to choose from while ensuring your recruitment process remains within your research budget.
Data from clinical trials is a requirement for approval by regulatory authorities, and the accuracy of such data is critical in determining whether a treatment should be approved. Because people react differently to medication based on their age, genetics, gender, weight, ethnic origin, and even geographic location, it is important that trials are open to as wide a range of patients as possible. The more diversity among participants in clinical trials, the higher the chances of providing meaningful results that could be useful in real-world treatment.
To this end, e-DICT uses predictive analytics to find likely participants from diverse communities and filters through possible candidates while providing real-time data. This revolutionary tool is transforming the recruitment process by both diversifying engagements and efficiently finding patients tailored to each trial.
As previously stated, recruiting participants for a clinical trial is a meticulous job. Several criteria must be met during the recruitment process, and thorough individual screening is necessary to find patients who possess the desired characteristics.
e-DICT uses predictive analytics to prescreen all participants selected for a trial and ensure they meet the criteria. With no specialized training needed, e-DICT provides shortlisted, likely participants who fit the benchmark for any given clinical trial. However, we do not release individual data on each patient to pharmaceutical companies, rather, e-DICT saves you the time and effort of going through all of the data on each participant, while simultaneously securing a diverse selection to expand your research demographically.
The importance of enrolling the right patients for clinical trials cannot be stressed enough. This is why e-DICT is trained to provide you with the right recruitment strategy, save your time and cost, and equip you with the predictive analysis needed to aptly fill your clinical trial.