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Development of Biometric Patient Identification System for Healthcare Institutions

instinctools.com

Medical

Information technology

Challenges in Patient Identification

Healthcare institutions face significant inefficiencies due to manual patient identification processes, including frequent errors, duplicate records, and time-consuming verification workflows. Existing biometric solutions (fingerprint/vein scanners) are cost-prohibitive for widespread adoption.

About the Client

Healthcare solutions provider specializing in patient management technologies

Project Goals

Eliminate patient identification errors through biometric verification
Reduce duplicate medical records by 100%
Streamline patient check-in processes
Enable cost-effective biometric identification using existing hardware
Support scalable deployment across healthcare institutions

Core System Requirements

Mobile application for patient registration and appointment scheduling
QR code generation for appointment verification
Facial recognition system using standard cameras
Real-time verification status display
Fallback mechanism for manual verification
Cross-platform compatibility (iOS/Android/web)
Secure patient data management

Technology Stack

JavaScript/TypeScript

Angular.js 2.0

Ionic 2.0 (mobile prototype)

Customized Tracking.js

WebQR

Objective-C

Java Development Kit 7

Android Studio

System Integrations

Healthcare institution (HI) existing patient databases
Client's central server infrastructure
Mobile device camera APIs
QR code scanning interfaces

Non-Functional Requirements

HIPAA-compliant data security
Cross-platform performance optimization
High-availability architecture
Scalable cloud infrastructure
Low-bandwidth operation capability
User interface accessibility standards

Expected Business Impact

Implementation of this biometric identification system is projected to reduce patient identification errors by 100%, eliminate duplicate records, and improve check-in efficiency by 60%. The solution's cost-effectiveness is expected to drive 32% growth in healthcare institution adoption within the first year.