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What does artificial intelligence in clinical trials represent for the research field?

Contrary to what Si-Fi movies will have you believe, the introduction of artificial intelligence (AI) into varies aspects of human existence represent a good, and not evil. AI is able to solve difficult challenges efficiently. For example, clinical trial designs are becoming more user-friendly and capable with the use of artificial intelligence. The use of artificial intelligence in clinical trials will represent the long-awaited technological revolution of medical research.

Clinical Research

The clinical research field can extract a lot of benefits from artificial intelligence; for example, AI is able to create smarter protocol designs. These designs can exponentially increase the success rate of a clinical trial. This is important because clinical trials provide new solutions to diseases and medical conditions. For example, recent clinical trials are learning how to make menopause more bearable for women (hallelujah).

The implementation of AI software in clinical trials signifies not only a technological revolution but also a revolution in relationship building. The traditional clinical research process is filled with small, yet important, details. These details can be safely and easily automated by AI software. StudyProtocol.io and studykik.com are helping doctors and clinical staff step away from computers and paperwork, and re-enter the world of human connection.

Patient Enrollment

Patient recruitment is a huge hurdle for success in clinical trials. Doctors and clinical research staff struggle to find eligible patients, and further- to enroll them. Artificial intelligence software has been able to match interested patients in clinical trials. AI in clinical trials helps research sites meet their enrollment goals by making their trials visible to a large number of patients interested in learning more about clinical research for a particular medical condition.

At the moment, the recruitment process produces a lot of monetary loss, leading to the shutdown of multiple scientific projects. However, AI software select patients by comparing their electronic medical records and matching them with the inclusion and exclusion criteria of a clinical trial. Therefore, fewer patients have to be screened and later dropped for not meeting the criteria. Additionally, patients no longer have to fear being placed in a clinical trial that will not benefit them.

With the help of artificial intelligence in clinical trials, doctors and other staff members can dedicate more time to the patients that come into their medical centers. The relationships created by medical staff and their patients are special because they are full of vulnerable moments. With the use of AI, medical staff and patients can be sure of the nature of their relationship: lasting and fruitful.

Data Collection and analysis

Artificial intelligence in clinical trials can also help with data and information collection. In the image a funnel is feeding information into a computer.

In addition, data collection and analysis can be greatly improved with artificial intelligence. Methods, such as AI-managed telemedicine and digital applications can receive, collect, and process information to provide results in real-time. The use of chat-boxes, for example, are creating self-reliant artificial intelligence systems that collect and process data. Therefore, data can progress to the next step in the clinical trial process in an effective and trustworthy manner.

The clinical trial data collection system is another source of loss; consequently, clinical trial centers can benefit from the implementation of data management software.

Artificial Intelligence and safety

AI in a clinical trial is not immune to strict universal data protection regulations. However, the benefit of AI is that it can reduce the time it takes to find eligible patients. This benefits patients and medical staff, allowing them to create a flourishing relationship that will benefit the medical field.

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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.