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Facial Recognition Solution for Patient and Staff Identification

Langate created web-based and mobile solutions to help our client prevent duplicate database entries, maintain database integrity, and protect healthcare data.

1+ mln



Protocol violations prevented


Countries operated in

Facial Recognition Solution for Patient and Staff Identification
Optimizing a Facial Recognition Solution


Web-based platform and app development for more accurate healthcare records. Includes a facial recognition feature.


Langate created a web-based platform and mobile app for iOS and Android with facial recognition. Through this, we were able to prevent duplicate subjects in clinical databases and contribute to more efficient healthcare database management.

Project Scope
Tech Stack
.NET framework

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. They searched for a development company with deep expertise in healthcare technology and discovered Langate. Based on our experience, they chose to work with us. 

Facial Recognition Solution for Patient and Staff Identification

The Client

Our client helps healthcare organizations better store and manage clinical data 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.

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Primary Challenges

Eliminating Duplicate Subjects

Patients with duplicate profiles tend to have incomplete records due to inconsistent updates. This can cause treatments to be ineffective, inaccurate, and potentially dangerous. Clinicians sometimes have to re-administer treatments as a result and spend twice as much time and effort monitoring the patient.

Identify Verification for Subjects

Remote access to clinical data has become increasingly sought-after, especially since the pandemic when hospital visits and physical contact were limited. Healthcare professionals couldn’t identify patients through fingertip recognition and needed a remote tool that was completely new. 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 prevent identity verification issues and achieve their goals.

The Solution

With our decade-long experience in healthcare software development, we were able to not only deliver the necessary solution but also go above and beyond our client’s expectations. For this project, we were able to create a solution featuring:

Facial Recognition Solution for Patient and Staff Identification

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 platform leveraging facial recognition are essential for more efficient, accurate, and reliable clinical database management. We believe that this solution will contribute to the popularity and growth of multi-location patient management systems. These are less expensive and allow users to easily access the health records of more patients across the country.
Tell us about your project
Do you want to improve the quality of your clinical database? Or do you have a software idea that can change the face of healthcare? Don’t 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.
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