Emergency Assistance
THE PROBLEM"Patients in medical emergencies lacked a structured way to quickly reach trained assistance, while providers and payers had limited real time visibility into incidents, emergency data, and response coordination."
SOLUTION OUTCOMEFaster SLA
EMERGENCY RESPONSE
Preliminary assessments before hospital admission improved emergency response time.
Structured Data
FASTER CASE COORDINATION
Emergency symptom data and patient history were captured at every stage for reliable clinical follow up.
Optimized Routing
FUTURE REFERENCE & ANALYSIS
Ambulance routing and hospital prioritization became faster and more structured.
Challenges holding Organization back
Patients struggled to access timely emergency support, while providers and payers lacked visibility into active incidents, care coordination, and response tracking.
The Challenges
01Unstructured Emergency Response
Patients had no direct access to trained emergency support during critical incidents, delaying timely guidance and coordination.
02Emergency Data Loss
Patient symptoms and incident details were not captured properly, limiting follow-up care and clinical analysis.
03Provider and Payer Disconnection
Providers and payers lacked real-time emergency visibility, delaying approvals, ambulance support, and specialist coordination.
Challenges Impact
Guidance
MISSED
Action
DELAYS
Visibility
GAPS
Delayed Clinical Guidance at Critical Moments - Patients received no expert guidance during the first minutes of emergencies, increasing treatment delays and clinical risk.
Insurance Validation Issues - Missing emergency data affected claim verification and approval processes.
No Structured Escalation Path - Ambulances, physicians, and hospitals were involved too late, reducing response effectiveness and increasing avoidable risk.
Payer Plan Value Left Unrealized - Payers lacked emergency assistance capabilities in plan benefits, reducing plan value and market differentiation.
Operational SLA Breaches - Without automated ticket assignment and tracking, support centers could not effectively measure or maintain SLA compliance.
Connected emergency response platform to streamline Check, Call, and Care
A call center web platform for emergency assistants and an SOS mobile app for patients were developed to route emergency requests to available support staff. The journey followed the three C’s of emergency care: Check, Call, and Care.
Tech Stack
React
React Native
Node.js
MongoDB
AWS
PostgreSQL
WebRTC
Lambda
Solution
Connected patients to trained emergency support staff through a one tap SOS system in real time.
Enabled support staff to manage emergency queues, assign priority tickets, and escalate cases quickly.
Gave providers and payers real time visibility for faster ambulance dispatch and specialist coordination.
Captured emergency data throughout the patient journey for follow up care and reporting.
Solution Highlights
Priority Queue Management
Managed emergency requests through a structured queue system, assigning priority tickets based on severity to handle critical cases first.
Video Physician Consultation
Enabled immediate video consultation between patients and physicians for faster clinical guidance during emergencies.
Automated Ticket Assignment
Automated emergency ticket assignment to available support staff, reducing manual delays and queue bottlenecks.
Nearby Hospital Locator
Identified suitable nearby hospitals in real time to support faster ambulance and patient coordination.
Turnaround Time Analytics
Tracked response turnaround times by emergency type to identify bottlenecks and improve SLA performance.
Payer Plan Integration Ready
Built for integration into healthcare payer plans, enabling emergency assistance as a measurable value add.
Tech Stack
React
React Native
Node.js
MongoDB
AWS
PostgreSQL
WebRTC
Lambda
OUTCOMES & FEATURESImproving emergency response coordination, case routing, and visibility
The platform helped patients, emergency assistants, providers, and payers move into a structured emergency workflow with faster assessment, routing, ambulance coordination, and data capture.
Key Outcomes
Quicker Emergency Assessment
Preliminary assessments before hospital admission improved response time compliance for support centers.
Captured Incident Data
Structured emergency data collection created reliable records for follow up care and pattern analysis.
Faster Physician Access
Video consultations connected patients to physicians faster during active emergencies.
Optimized Ambulance Dispatch
Structured routing improved ambulance dispatch and hospital prioritization decisions.
Payer Plan Differentiation
Payers added emergency assistance capabilities to strengthen plan value and differentiation.
Response Pattern Visibility
Turnaround analytics helped support centers identify bottlenecks and maintain SLA standards.
Features
Mobile SOS Application
Emergency Command Platform
Automated Ticket Assignment
Priority-Based Case Allocation
On-Demand Video Consultation
Nearby Hospital Identification
Emergency Analytics Dashboard
Our Engineering
Marvels
That Drive
Digital Transformation
Discover how our technology solutions helped businesses improve operations, automate workflows, and achieve measurable outcomes.
Health SignOn
The company struggled to manage application access, user roles, data processing, and language requirements consistently across multiple geographies without increasing manual effort or data errors.
AI Doc
Healthcare teams struggled with bulky unstructured documents, manual template work, and inconsistent report formats, making clinical documentation and research reporting slow, repetitive, and difficult to reuse.
Drug Analysis
Pharma teams struggled to track drug consumption, patient behavior, disease progression, and demand patterns accurately across the treatment lifecycle.
Insurance Operator
Claims friction, verification delays, and payer-clinic coordination gaps made it difficult for plan holders to use medical benefits smoothly within the registered clinic network.
Regimen Tracker
Oncology teams struggled with disconnected regimen tracking, unbalanced workloads, delayed lab coordination, and long patient wait times across the treatment journey.
