Care Coordination Platform That Kept Patients from Falling Through the Cracks Across 12 Providers

A regional multi-provider health network serving a rural community across three counties was losing patients between handoffs. The network comprised 12 independent practices -- family medicine, cardiology, orthopedics, behavioral health, and others -- with approximately 180 providers collectively managing a shared patient population of over 15,000. Referrals between practices were handled via fax, phone, and paper forms, and there was no shared system to track whether patients actually followed through on recommended care.

The network had been loosely organized for over a decade, bound together by referral relationships and a shared commitment to serving a medically underserved area. But the lack of coordination infrastructure meant that patients with complex, multi-provider care needs were routinely falling through the cracks. A patient referred from their primary care physician to a cardiologist might wait weeks with no follow-up, and neither provider would know until the patient showed up in the emergency department.

JSG was engaged to design and deploy a care coordination platform that would connect the 12 practices into a unified referral and care management network while preserving each practice's operational independence.

Client: Regional multi-provider health network comprising 12 independent practices across family medicine, cardiology, orthopedics, behavioral health, pulmonology, endocrinology, and physical therapy. Serving a three-county rural area designated as a Health Professional Shortage Area.

Employee Size: ~180 providers and clinical staff across 12 practices

Industry: Healthcare

Services: - Care Coordination Platform Design - Referral Tracking & Routing Automation - Shared Care Plan Management - Inter-Provider Communication Workflows

The network's coordination challenges were deeply rooted in the structural reality of 12 independent practices operating on different EHR systems, different scheduling platforms, and different communication preferences. Every referral was a manual, high-friction process that depended on individual staff members remembering to follow up.

First, referral leakage was hemorrhaging patients and revenue. When a primary care physician referred a patient to a specialist within the network, the referral was typically communicated via fax or a brief phone call to the specialist's front desk. An internal audit revealed that 42% of referrals never resulted in a completed specialist visit. Patients received the referral, intended to follow through, but encountered scheduling friction, forgot, or simply never received a call back from the specialist's office. Each lost referral represented both a gap in patient care and an average of $340 in unrealized revenue for the receiving practice.

Second, care plan fragmentation made it impossible to manage complex patients effectively. A patient with diabetes, heart failure, and depression might be seen by an endocrinologist, a cardiologist, and a behavioral health provider -- each maintaining their own notes, their own treatment plan, and their own medication list with no visibility into what the others were doing. Medication conflicts, duplicated lab orders, and contradictory care instructions were common, and providers had no practical way to know what was happening outside their own four walls.

Third, follow-up tracking was nonexistent. Once a referral left a practice, there was no system to track whether the patient scheduled, whether they attended, or what the outcome was. Referring providers relied on receiving a consultation note back -- which arrived inconsistently, often weeks later, and sometimes not at all. Chronic care management plans that depended on multi-provider coordination had no mechanism for ensuring that each step in the plan was actually completed.

Fourth, the rural patient population faced unique barriers that made coordination failures especially damaging. Many patients traveled 30 to 60 minutes for specialist appointments. A missed referral or a scheduling gap didn't just delay care -- it often meant the patient wouldn't try again for months. The network's patient population skewed older and less digitally connected, making proactive outreach essential rather than optional.

The network needed:

• A shared referral management system that tracked every referral from initiation to completion
• Shared care plans visible to all providers involved in a patient's care
• Automated follow-up workflows that caught dropped referrals before patients were lost
• Inter-provider messaging that didn't depend on fax machines or phone tag
• A platform that respected each practice's independence while enabling network-wide coordination

JSG designed and deployed a care coordination platform on the TMX engine that connected all 12 practices into a unified referral and care management network, giving every provider real-time visibility into their shared patients without requiring any practice to abandon their existing EHR or workflows.

Key Components

Centralized Referral Hub The TMX platform provided a single referral management interface accessible to all 12 practices. Referring providers submitted referrals through a structured digital form that captured clinical context, urgency, and patient preferences. Receiving practices saw inbound referrals in a prioritized queue with all necessary information attached, eliminating the back-and-forth of fax-based coordination.

AI-Powered Referral Priority Scoring Azure OpenAI analyzed referral content -- clinical notes, diagnosis codes, patient history flags -- to assign a priority score that helped receiving practices triage their referral queue. Urgent referrals were automatically escalated with alerts, while routine referrals were queued with recommended scheduling windows based on clinical guidelines and historical wait times.

Shared Care Plan Workspace A collaborative care plan module allowed multiple providers to contribute to and view a single patient care plan. Each provider saw their responsibilities, the status of other providers' tasks, and the patient's overall care trajectory. Medication lists, lab results, and visit summaries from any participating provider were aggregated into a unified patient view.

Automated Referral Routing and Follow-Up N8N workflows automated the referral lifecycle. When a referral was created, the receiving practice was notified immediately. If the patient hadn't scheduled within 5 business days, the system triggered an outreach sequence -- first to the patient via their preferred contact method, then to the receiving practice's scheduling team, and finally an alert to the referring provider. No referral could sit idle without someone being notified.

Inter-Provider Secure Messaging A HIPAA-compliant messaging system built into the platform allowed providers to communicate about shared patients without relying on fax or phone. Messages were threaded by patient and linked to the relevant care plan, creating a documented communication trail that became part of the coordination record.

Network Performance Dashboard A dashboard provided network leadership and individual practice managers with visibility into referral volumes, completion rates, average time-to-appointment, and care plan adherence metrics. Practices could benchmark their referral responsiveness against network averages, creating accountability without mandates.

## Quantifiable Impact

• Referral leakage reduced by 50%, from 42% of referrals never completed to 21% within six months
• Average time from referral to specialist appointment decreased from 23 days to 9 days
• Care plan completion rates for multi-provider chronic care patients increased from 48% to 79%
• Inter-provider communication response time improved from 3.2 days (fax/phone) to 4.7 hours (platform messaging)
• Network-wide specialist revenue recovered an estimated $27,000 per month from previously lost referrals

• Frontend: React (provider-facing coordination portal)
• Backend: Node.js with Express
• Platform: TMX (coordination hub, referral management, shared care plans, patient data layer)
• Cloud: Microsoft Azure
• Database: Azure SQL with HIPAA-compliant encryption and role-based access per practice
• AI & Automation: Azure OpenAI (referral priority scoring, clinical context extraction, care gap identification)
• Workflow Orchestration: N8N (referral routing, follow-up reminder sequences, escalation workflows, care plan task triggers)
• Communication: Twilio (patient outreach SMS/voice), secure in-platform messaging for providers
• Integrations: HL7 FHIR interfaces for EHR data exchange, practice management system calendar APIs