Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Development of a Contactless EHR Access System via Smart Glasses for Healthcare Professionals
  1. case
  2. Development of a Contactless EHR Access System via Smart Glasses for Healthcare Professionals

Development of a Contactless EHR Access System via Smart Glasses for Healthcare Professionals

langate.com
Medical

Identified Challenges in Healthcare Record Management and Accessibility

Healthcare providers face significant inefficiencies and risks associated with manual and contact-based access to electronic health records (EHR), including increased error rates, time-consuming data retrieval, and potential germ transmission. The lack of real-time, contactless access impedes quick decision-making and care delivery, especially in high-pace clinical environments.

About the Client

A mid to large-sized healthcare organization looking to enhance clinical workflows and reduce documentation burdens through innovative technology solutions.

Key Goals for Improving Clinical Data Access and Workflow Efficiency

  • Enable real-time, contactless access to patient medical records through wearable devices.
  • Integrate with existing EHR systems to ensure seamless data retrieval and updating.
  • Enhance clinical workflow efficiency by reducing time spent on documentation and data search.
  • Introduce hands-free interactions (voice commands, sensor inputs) for improved usability.
  • Maintain strict compliance with healthcare data privacy regulations such as HIPAA.
  • Develop scalable and interoperable architecture supporting multiple EHR vendors.

Core Functional Capabilities for Smart Healthcare Data Access System

  • Secure login/authentication via SMART on FHIR protocol using existing clinician credentials.
  • QR code scanning on patient wristbands to quickly retrieve related EHR data.
  • Display comprehensive patient information including demographics, diagnostics, medication lists, and lab results.
  • Enable voice command recognition for note creation and data interactions.
  • Barcode scanning functionality for medication verification at the point of care.
  • Real-time teleconferencing capabilities with remote clinicians via wearable device interface.
  • No standalone storage of sensitive data; rely on real-time queries to existing EHR systems to ensure compliance.

Preferred Technologies and Architectural Approaches

FHIR and SMART on FHIR protocols for data exchange and authentication
Mobile development frameworks suitable for wearable devices (e.g., Xamarin, similar cross-platform tools)
API-driven architecture for EHR integration
Secure wireless connectivity protocols (Wi-Fi, secure Bluetooth where applicable)
AR Core or equivalent for augmented reality functionalities
Voice recognition and sensor integration for hands-free control

Essential External System Integrations

  • EHR systems such as Epic, Cerner, or other major vendors for patient data access
  • Barcode/QR code scanners associated with patient and medication identification devices
  • Teleconferencing platforms for remote clinical communication
  • Sensor hardware for voice, wristband, or brain wave input for handsfree operation

Non-Functional System Specifications

  • Compliance with healthcare data privacy regulations (e.g., HIPAA)
  • High availability and uptime to ensure critical clinical information is always accessible
  • Data retrieval latency under 2 seconds for smooth user experience
  • Scalability to support multiple concurrent users across large hospital networks
  • Robust security measures for device authentication and data transmission

Projected Business Benefits from Implementing the Contactless EHR Access System

The implementation of this contactless, smart glasses-based EHR access system is expected to significantly reduce documentation time, with expected improvements in clinical workflow efficiency. It aims to decrease errors related to manual data entry by integrating barcode and voice recognition, enhance infection control by minimizing physical contact, and improve clinician satisfaction. Ultimately, the system could lead to faster patient care delivery, higher data accuracy, and cost savings through workflow automation.

More from this Company

Integrated Project and Workforce Data Management System for Manufacturing Operations
Development of a Custom Employee Change Management System for Healthcare Organizations
Development of an Automated Healthcare Data Extraction and Normalization Platform
Development of an AI-Driven Preventive Healthcare Portal with Multilingual Support and Real-Time Communication
AI-Powered Invoice Recognition and Real-Time Financial Data Synchronization System