Cross-Platform Urgent Care App Launched in 30 Days
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Cross-Platform Urgent Care App Launched in 30 Days
A mid-sized urgent care provider with 15 locations across the Northeastern US faced a critical bottleneck during a regional flu and respiratory surge. Their manual, phone-based triage and walk-in-only model led to 2-hour wait times and a 20% patient leakage to competitors. The goal was to deploy a patient-facing cross-platform app (iOS/Android) within 30 days with the integration of AI, which will digitize intake and offer virtual screening.
The following core modules were developed:
- Settings & Clinic Topology: Centralized management for US regions, clinic locations, and facility metadata.
- Multi-Level User Hierarchy: Secure role-based access for Corporate, Regional, Manager, and Clinical panels.
- Revenue & Intake Engine: Real-time data capture for healthcare KPIs and patient volume.
- Financial Reporting Suite: Automated monthly reports covering Daily ACT vs. BUD (%), MTD Revenue, and Budget Projections.
- Visual KPI Dashboard: A high-performance interface displaying 25+ KPIs for group and regional performance tracking.
- Intelligent Anomaly Detection: Real-time flagging of budget variances and “leakage” patterns, moving from reactive reporting to proactive financial management.
- Automated Notifications: Integrated email alerts for budget variances and reporting deadlines.
The Challenges
The organization faced critical operational failures prior to the digital transformation
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Patient Attrition: Manual triage caused 2-hour wait times, leading to a 20% patient loss to competitors.
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Administrative Strain: Paper-based intake resulted in 12-minute check-in delays and frequent data errors.
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Financial Blind Spots: Delayed revenue reconciliation prevented managers from making agile staffing decisions.
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Inefficient Throughput: Lack of a digital queue led to severe clinic overcrowding during flu surges.
The Solutions
We implemented automated workflows to resolve systemic inefficiencies and shift the burden from staff:
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Digital Triage & Virtual Queue: Introduced a “Wait at Home” feature, reducing physical room congestion by 40%
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Automated Intake Engine: Moved check-in to mobile devices, slashing on-site administrative time from 12 minutes to under 2 minutes.
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Real-Time KPI Command Center: Deployed an instant-insight dashboard for real-time staffing and revenue adjustments.
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Symptom-Based Routing: Utilized logic-driven triage to divert low-acuity cases to telehealth, preserving physical rooms for high-priority patients.
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OCR-Powered Intake: Implemented AI Optical Character Recognition (OCR) for instant insurance and ID scanning, contributing to the reduction of check-in times from 12 minutes to under 2 minutes
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Predictive Surge Modeling: Utilized machine learning to analyze historical flu data and clinic topology, alerting managers to staffing needs 48 hours before a predicted spike in volume.
Top Technologies Powering Our AI Custom Urgent Care App Development
We selected a modern, highly scalable stack to ensure the 30-day delivery didn’t compromise long-term performance:
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