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. They aim to facilitate accurate and safe data management while saving time and money for healthcare providers, researchers, and other stakeholders.
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 backgrounds without the need to visit the healthcare center. They turned to Langate to develop a web-based platform that can prevent identity verification issues and achieve their goals.
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.
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