seconds needed for the verification
number of users can access system at the same time
developers working on the project
Facial recognition feature, web-based platform development, app development, solution for more accurate healthcare records.
Langate created a web-based platform and mobile app for iOS and Android with facial recognition; thus, preventing duplicate subjects in clinical databases and contributing to more efficient healthcare database management.
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, based on our experience, chose to work with us.
Our client helps healthcare organizations store and manage clinical data better through the prevention of both duplicate subjects and key protocol violations. Their main aim is to facilitate accurate and safe data management, while saving time and money for healthcare providers, researchers and other stakeholders.
Duplicate Subjects Elimination
Those patients with duplicated profiles tend to have incomplete records due inconsistent updates, thus, causing the treatment to be ineffective, inaccurate, and potentially dangerous. Sometimes clinicians have to re-administer some treatments as a result and spend twice as much time and effort in monitoring patient.
Subjects' Identify Verification
Remote access to clinical data has also become increasingly popular, especially after the pandemic when hospital visits and physical contact were limited. Healthcare professionals could not identify patients through fingertip recognition and needed an entirely new remote tool. Our client came up with the idea of leveraging facial recognition to identify patients and their treatment background without the need to visit the healthcare center. They turned to Langate for the development of a web-based platform that can break down this issue.
With our decade-long experience in the development of healthcare software, we were able to not only deliver the necessary solution, but we also went above and beyond our client’s expectations. For this project, we were able to create:
We have developed a web-based platform that allows patients and personnel to go through the verification process directly on the website. Facial recognition is done through a web camera and takes less than 30 seconds to verify the individual’s existing profile.
The client’s software has been used by numerous healthcare providers, research organizations and pharmaceutical companies, to make sure that any number of users or devices can access the system at all times.
Our suggestion was to develop a mobile application in addition to the web platform. Many users prefer using mobile apps for various reasons. This idea was gladly approved by the client, and we have created a cross-platform solution that works on both iOS and Android.
Langate cooperated with clinical professionals with over 50 years of experience to create a reliable, massive registry that now is used by our client. This registry helps retrieve the needed information about patients and prevent the creation of duplicate in-complete profiles.
Langate developed a solution that is based on the usage of de-identified Unique Identification Codes. It prevents multiple registration and ensures the necessary data protection to comply with all the HIPAA and GDPR requirements.
Our last part of the solution has become a full source code of the solution, which is hosted in the client-owned source code repository.
Additional solutions were eagerly approved by the client as they contributed to a better user experience and a wider reach.
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