Facial recognition feature, web-based platform development, app development, solution for more accurate clinical trials
Langate created a web-based platform and mobile app for iOS and Android with a facial recognition feature, thus preventing duplicate subjects in remote clinical trials and contributing to more accurate trial results
25% of research participants attempt to simultaneously enroll in multiple studies in the 1st phase of clinical trials. This percentage ranges from 2% to 12% in the 2nd-4th phase of clinical trials. So duplicate subjects (or people who take part in more than one trial at a time) become a great risk for the end results and safety of the researched treatment. Facial recognition helps to avoid these risks through improved identification. This solution is especially useful for remote trials that are unable to perform fingerprint identification and, consequently, are more likely to face the problem of duplicate subjects.
Our client wanted to further develop their toolset for accurate subject identification through a facial recognition feature. As they were looking for a development company with deep expertise in healthcare technology, they discovered Langate and chose to work with us without hesitations.
Our client helps healthcare organizations to conduct better clinical trials through the prevention of both duplicate subjects and key protocol violations. Their main aim is to facilitate accurate and safe clinical trials and to save money and the effort of researchers and stakeholders.
Duplicate Subjects Elimination
Duplicate subjects in clinical trials tend to lie about treatment results to stay within the trial and avoid the rules, which contributes to the low quality, inaccuracy, and danger of clinical trial results. Sometimes researchers have to redo the whole trial because of them and spend twice as much money to approve the treatment.
Subjects' Identify Verification
Remote clinical trials become more and more popular, especially after the pandemic when hospital visits are limited. Healthcare researchers could not identify subjects through fingertip recognition and needed a new remote tool. Our client came up with an idea of a facial recognition feature that will identify subjects and their clinical trial background without the need to visit the research center. They turned to Langate for the development of a web-based platform that can tackle the issue.
By using our decade-long experience in the development of healthcare software, we were able to not only deliver an asked solution but offer enhancements to the project. Thus, we have created:
We have developed a web-based platform that allows subjects to go through the verification process directly on the website. Facial recognition happens through a web camera, and it takes less than 30 seconds to verify the subject’s eligibility. .
The client’s software is used by numerous research organizations and pharmaceutical companies, so we also made sure that any number of users or devices can access the system at any time.
Our further suggestion was to develop a mobile application for users who do not own a web camera or prefer mobile apps overall. This idea was gladly approved by the client, and we have created cross-platform solution that works on both iOS and Android.
Now researchers can check the enrollment status and participant’s eligibility from any device.
Langate cooperated with clinical trial research professionals with over 50 years of experience to create a revolutionary massive registry that now is used by our client to retrieve the needed information about potential study participants and prevent their simultaneous enrollment in multiple studies.
Langate developed a solution that is based on the usage of de-identified Unique Identification Codes. It prevents dual enrolment, ensures the necessary data protection, and complies with all the HIPAA and GDPR requirements.
Our last part of the solution has become a full source code of the solution hosted in the client-owned source code repository
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