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Using artificial intelligence for faster clinical trial enrollment

Overview

Recruiting and enrolling study participants is one of the greatest hurdles to success in the clinical trial field. Every year, pharmaceutical companies pour huge amounts of money on the recruitment and enrollment of patients in clinical trials.  However, top grade clinical trials fail due to the lack of patient recruitment. Clinical researchers are now finding the perfect solution in an unlikely place- Artificial Intelligence.

The Problem

Clinical trials serve the medical field a great deal. They provide doctors with new strategies to tackle diseases such as cancer, Alzheimer’s, and HIV. Clinical research is helpful in finding ways to not only treat, but also prevent, these unfortunate diseases. Additionally, the field of clinical research provides ill patients with hope and emotional support. Patients enrolled in clinical trials may also feel a sense of pride in knowing that they are helping to advance the medical field, and increase the life quality of people who share their illness. However, there is one obstacle that is hindering the research field: patient recruitment and enrollment.

A study completed by Forte, which surveyed over 900 clinical research staff members, found that low patient enrollment was a top issue in the clinical research field. Figuring out the eligibility of patients is difficult and time consuming; the issue is how to obtain faster clinical trial enrollment.

The Solution

Artificial intelligence is the solution to faster clinical trial enrollment. AI is able to scan the electronic medical records of patients, and match them to the the appropriate clinical trial. Thus, presenting itself as the long-awaited solution to slow, and tedious clinical trial enrollment. AI eliminates the possibility of human error, and helps soothe the anxiety of patients involved. The study mentioned above found that many patients revealed they feared not being matched to the correct clinical trial. Therefore, it is a twofold issue which affects clinical research professionals and patients alike.

Further, artificial intelligence gives doctors an opportunity to sort enormous amounts of data and cross-reference it to clinical trials. The help provided by artificial intelligence has a variety of benefits: it decreases the cost of clinical research, it leads to faster clinical trial enrollment, and it decreases the dropout rate. These three benefits are essential in ensuring the success of a clinical trial.

The Benefits

There are two major benefit that researchers can obtain from artificial intelligence: faster clinical trial enrollment, and the ability to monitor the progress of their trial. As previously mentioned, patient recruitment and retention is a major hurdle in the success of clinical trials. However, with the use of AI, faster clinical trial enrollment is in sight. Additionally, researchers can keep a track of how patients are interacting with medications.

Artificial intelligence has been able to provide advanced technologies, such as: the Cloud, Data Lakes, Study Protocol, and many others. These services improve data quality, decrease overall study cost, and reduce the length of each trial.

AI and faster clinical trial enrollment

Advanced technological tools such as studyprotocol.io have been able to create a patient-friendly environment to increase and improve patient recruitment. With tools such as studyprotocol.io, faster clinical trial enrollment is possible. Studyprotocol.io also refine the audience it reaches, therefore capturing a more engaged group of potential participants.

Studyprotocol.io aims at tracking all the related data, and refining it at the time of need. The tool has various features which combine together to give researchers a successful clinical trial- beginning with faster clinical trial enrollment. The system is also interactive- it gathers feedback from both patients and researchers to make the experience more beneficial and user-friendly.

With the help of the aforementioned tools, the the screening process is simplified. Researchers are able to identify eligible patient for a clinical trial using already existing data. The engine created with the help of artificial intelligence continuously updated, so that the right candidates can be picked.

AI and successful clinical trials

Smart apps can monitor eligible patients . Patients can receive alerts to remind them to take their medication on time. Additionally, smart health apps can track and control data. Many patients pointed to physical distance as a reason for not joining a clinical trial, or for dropping out of a clinical trial. However, with the help of wearable devices, patients can record medical information on their phone. Data includes body temperature, blood pressure, and pulse.

With the concept of virtual trials, the trial can include a diverse population. The eligible patients may belong to different ethnic and cultural backgrounds. As a result, the results available with be more accurate and useful

Patients can receive alerts to remind them to take their medication on time. Additionally, smart health apps can track and control data. With the concept of virtual trials, the trial can include a diverse population. The eligible patients may belong to different ethnic and cultural backgrounds. As a result, the results available with be more accurate and useful.

Traditional trials do not often collect data. Furthermore, data collected is always subject to human error. With the help of Artificial Intelligence, smartphone sensors, and wearable devices, clinical trial staff is able to accurately collect study data, in a much more timely manner. Moreover, patients will always feel like they are making a meaningful contribution to the medical field, as well as bettering their own symptoms. Error-free data collection has endless benefits, for patients and study personal alike.

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Clinicalresearchtech.com is a blog dedicated to spreading the latest news and trends in the clinical research community. Our main focus is to cover how technological advancements are disrupting the industry.