Optimizing the Facial Recognition Solution for Remote Clinical Trials
Work
Facial recognition feature, web-based platform development, app development, solution for more accurate clinical trials
Summary
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
Project Scope
5
DevelopersTech Stack
Discover how Langate helped healthcare units to perform remote clinical trials without duplicate subjects through facial recognition
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.
The Client
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.
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Primary Challenge
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.
The Solution
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:
Achievements and Future Plans
- After implementing the solution developed by Langate, our client was able to gain a competitive edge and partner with the largest pharmaceutical corporations, local research centers, and international CROs.
- The web-based platform and mobile web with facial recognition feature is the next step towards more efficient, accurate, and safe clinical trials. Remote trials are as protected from duplicate subjects as physical ones. We believe that it will contribute to the popularity growth of remote trials that are less expensive and allow researchers to reach out to more trial subjects across the country.
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