Home / Case Studies / Facial Recognition Solution for Patient and Staff Identification

Facial Recognition Solution for Patient and Staff Identification

Healthcare

Saas

Enterprise

Prevention of duplicate trial enrollment
Integrity of clinical trial results
Protection of trial data
Web-based and mobile solutions available

seconds needed for the verification

number of users can access system at the same time

developers working on the project

Facial Recognition Solution for Patient and Staff Identification

Optimizing the Facial Recognition Solution for Remote Clinical Trials

Work

Facial recognition feature, web-based platform development, app development, solution for more accurate healthcare records.

Summary

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.

Project Scope

5

Developers

Tech Stack

.NET framework

Xamarin

Discover How This Research Firm Kept Duplicates and Unauthorized Personnel out of Clinical Databases with Langate’s Facial Recognition Software

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.

The Client

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.

Are you also looking for an advanced solution for healthcare?

 Langate knows how to ensure the quality of research and results to optimize routine processes! 

Primary Challenge

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.

The Solution

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:

Web-Based Platform

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.

App for Facial Recognition

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.

Healthcare Database Registry

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.

HIPAA and GDPR Compliance

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.

Full Source Code

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.

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 healthcare providers, pharmaceutical corporations, local research centers, and international CROs.
The web-based platform and mobile web platform leveraging facial recognition is essential for more efficient, accurate, and reliable clinical database management. We believe that this will contribute to the popularity and growth of multi-location patient management systems which are less expensive and allow users to easily access health records for more patients across the country.

Do you want to improve the quality of your clinical database or have a software idea that can change the face of healthcare? Do not hesitate to reach out to Langate! Our vertical-specific experience and talented tech teams will deliver high-quality results in a timely and cost-efficient manner.

Do you need help developing custom healthcare software?

Contact Langate to bring your business to a new level!