CASE STUDY DETAILS

Pulse-IQ

Web Application

Fragmented Remote Patient Monitoring

Healthcare

Real-Time Patient Health Monitoring

OVERVIEW

PROBLEM STATEMENT

  • Limited ability to continuously monitor patients outside healthcare facilities
  • Manual collection and tracking of patient vital information
  • Delayed identification of abnormal health conditions
  • Difficulty managing patient alerts and coordinating healthcare responses
  • Fragmented management of clinical notes, medications, appointments, and patient information
  • Need for secure, scalable, and role-based access to sensitive healthcare dcompliance

SOLUTIONS

  • Enabled monitoring of heart rate, blood pressure, SpO₂, blood sugar, temperature, and weight.
  • Stored historical vital readings for ongoing patient health monitoring.
  • Provided centralized dashboards for viewing health information, alerts, and risk status.
  • Automated the processing and storage of incoming health readings.
  • Provided medication management for prescriptions, schedules, and reminders.
  • Supported appointment information management for patients and healthcare teams.
  • Enabled authorized healthcare professionals to create and manage clinical notes.
  • Provided dedicated workflows based on healthcare user roles.
  • Implemented role-based access for patients, doctors, caregivers, and administrators.
  • Protected authenticated healthcare workflows through secure authentication mechanisms.
  • Added audit logging capabilities to track sensitive healthcare activities.
  • Controlled access to patient and healthcare information through authorized application workflows.
  • Role-Based Access Control (RBAC) via Pundit policies
  • JWT + AWS Cognito authentication
  • Secure patient record management
  • Audit logging and activity tracking
  • Encrypted storage (S3, RDS, KMS)
  • HIPAA-oriented architecture design
  • Enabled real-time delivery of new patient vital readings.
  • Evaluated vital readings using configurable health-risk rules.
  • Automatically generated alerts based on applicable risk conditions.
  • Enabled healthcare professionals to review, acknowledge, track, and resolve patient alerts.
  • Provided FHIR-ready APIs for standardized healthcare resources such as Patient, Observation, Medication, and Encounter.
  • Established standardized healthcare data structures for integration with external healthcare systems and EHR platforms.
  • Designed the platform to support future integration with connected medical devices and device gateways.
  • Maintained a modular architecture for additional healthcare integrations.
  • Designed a scalable architecture to support concurrent patient monitoring and healthcare operations.
  • Provided reliable storage for patient profiles, vital readings, alerts, medications, appointments, and clinical information.
  • Included caching capabilities for frequently accessed application data.
  • Structured the platform to support future healthcare integrations, analytics, and AI capabilities.

APPROACH

SUCCESS AND IMPACT
Scroll to Top