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---title: "Enterprise Scheduling Platform | Case Study"description: "How we built a scheduling platform on top of a legacy EMR for a 100+ clinic health system. 250K+ appointments a year, under two minutes to book, 99.9% uptime."url: https://appstream.studio/case-studies/healthcare-scheduling-transformationmarkdown_url: https://appstream.studio/case-studies/healthcare-scheduling-transformation.md--- [Home](https://appstream.studio/index.md) · [Work](https://appstream.studio/case-studies.md) Healthcare Healthcare/ Engineer · Operate # 250K+ appointments a year. Under two minutes to book. 99.9% uptime. A health system with 100+ clinics was stuck on a scheduling module that couldn't keep up. We built a new scheduling engine on top of their EMR instead of replacing it. Client Community Health System Engagement Multi-year engagement Focus Platform Modernization Compliance HIPAA  01 ## The work A federally qualified community health system with roughly 100 clinics in the Northeast, serving underserved and underinsured populations. They schedule about 250,000 appointments a year through several hundred call center and front desk staff, reaching somewhere between 800,000 and a million patients. What was getting in the way - The EMR scheduler couldn't handle their reality: multiple clinics, different rules, insurer-specific constraints- Agents were clicking through screens and relying on memory to book a single appointment- Booking rules lived on sticky notes and in people's heads. Misbooks were constant.- Adding a new clinic or program meant weeks of work. The EMR couldn't keep pace with growth.- Leadership couldn't see scheduling performance, bottlenecks, or call center productivity in one place 02 ## What changed Keep the EMR. Replace the scheduling experience. They didn't need a new EMR. They needed a scheduling engine that sat on top of the one they had. The EMR stays the system of record. All day-to-day booking moves into a UI designed for call center speed. 03 ## What we built We wired it together with HL7 for bi-directional sync on appointments and patient data, with error handling and reconciliation built in so the two systems stay in lockstep. The rules engine lets admins configure scheduling policies by clinic, provider, visit type, and insurance program. No code changes needed. Rollout was incremental. We started with a handful of clinics, ran both systems in parallel until staff were confident, then scaled to 100+. Each iteration was shaped by the people actually using it. AI-Enabled Custom Development 04 ## How it works - Custom scheduling platform handling 20,000+ appointments per month across 100+ clinics- HL7 integration with the EMR, both directions. No data fragmentation.- Rules engine that encodes multi-clinic scheduling policies in one place- Call center UI designed for speed: guided flows, fewer clicks, less room for error- Admin console for clinics, providers, rules, users, and reporting. No engineering tickets.- Audit logging, call tracing, and compliance reporting for HIPAA reviews- New clinics and programs go live through configuration, not custom projects 05 ## Business impact appointments/yr 250K+ Booked through the platform annually avg booking time 1:37 Down from several minutes per appointment uptime 99.9% Across 100+ clinics including peak volumes > “What used to take hours of call center time now takes minutes. And we didn't have to leave our EMR to get there.” Operations Director , Multi-Clinic Health System 06 ## What’s next Modernize without the rip and replace Stuck on a legacy system? We've built the engagement layer on top before. Let's talk about yours. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [More work](https://appstream.studio/case-studies.md) Team - Justin Tannenbaum Solutions Architect- Lukasz Chmielewski Lead Engineer- Cesar Bustamante Engineering- Ernesto Quispe Product Design Stack Node.js · TypeScript · Angular · AWS · Serverless · SQL Related - [Engineer](https://appstream.studio/solutions/engineer.md)- [Operate](https://appstream.studio/solutions/operate.md)- [AI-Enabled Custom Development](https://appstream.studio/solutions/ai-enabled-custom-development.md)- [Healthcare](https://appstream.studio/industries/healthcare.md) More work ## Keep reading. [All work](https://appstream.studio/case-studies.md) - [Healthcare/ Engineer AI scores reimbursement likelihood before a medical device ships. Read the case study](https://appstream.studio/case-studies/ai-reimbursement-eligibility-engine.md)- [Proptech/ Engineer A 50-state buy-side marketplace, with search that understands intent. Read the case study](https://appstream.studio/case-studies/buy-side-marketplace-agentic-search.md)- [Private Equity/ Engineer · Operate One AI assistant answers HR questions across every acquired company. Read the case study](https://appstream.studio/case-studies/enterprise-genai-people-operations.md) --- ## AppStream Studio AppStream turns frontier AI capabilities into production systems that perform real work. 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