Solutions for Slow Software Loading Times

Most of your Fabric performance problems? They’re not Fabric problems: They’re architecture problems. Modeling problems. Assumption problems. Last month, I rescued a client whose dashboards took 2+ minutes to load. They were ready to switch platforms. But Fabric wasn’t the issue. Here’s what I found: • They loaded 5 years of data into every visual – even though users only needed the last 90 days. • No source filtering. • No incremental refresh. • No aggregation layer. We fixed all 3 in a week: ✅ Date filtering at the source ✅ Incremental refresh for active ranges ✅ Aggregation tables for historical rollups Result: Load time dropped from 120s to under 3. The users who’d given up? They’re back. 3 signs your Fabric setup needs help: 1. Reports take more than 5 seconds to render 2. You’ve started calling it “the spinning wheel of death” 3. You find yourself saying: “That’s just how long it takes.” None of these are normal. And fixing them doesn’t require a new tool – just a better approach. Is your Fabric setup frustrating users? Let me take a look. I’ve probably fixed worse.

🚨 Your EMR isn't slow. Your tech stack is stuck in 2010. If your clinic’s EMR feels sluggish, glitchy, or unresponsive — the problem might not be the software at all. Let’s get technical for a minute. 🧠 Modern EMRs are resource-heavy: • Auto-save in real time • Encrypted API calls to labs, billing, pharmacy systems • Background syncing for cloud storage and mobile access • Embedded analytics, AI features, and e-prescribing modules But here’s what we see in many clinics: 🧯 Outdated Servers • Running Windows Server 2012 or even older • Mechanical HDDs instead of SSDs • Only 4–8 GB RAM trying to serve dozens of concurrent users • No load balancing, no virtualization 🕸️ Network Bottlenecks • EMR traffic shares the same bandwidth as patient Wi-Fi, CCTV, and VoIP • Consumer-grade routers without QoS (Quality of Service) rules • No VLAN segmentation = everything slows down when someone streams Netflix in the waiting room 🔒 Security Overheads • No antivirus exclusions for EMR directories — leads to unnecessary scanning delays • Windows firewall misconfigurations blocking EMR updates or licensing validation • Poorly managed SSL certificates causing HTTPS lags or trust issues 🧱 Legacy Integrations • Old billing software or lab interfaces still running 32-bit protocols • No optimization for HL7/FHIR traffic • Unsupported browser versions creating rendering issues in the EMR UI 🔥 All this results in: • 30+ second load times • Frequent crashes during telehealth or charting • Staff blaming the EMR when the real culprit is tech debt ✅ What helps: • Upgrading to SSD-powered servers or shifting to cloud-hosted EMRs • Separating EMR traffic using VLANs and traffic prioritization • Regular server patching, OS upgrades, and security hygiene • Browser and hardware standardization across the clinic 👉 The best EMR can only perform as well as the environment it runs on. 💬 If your clinic is still relying on outdated infrastructure, it's time for a systems check — not a software swap. Let me know if you're facing any clinical tech challenges—I'd love to share how better UX and CX strategies can streamline your workflows and enhance patient experience. #HealthTech #EMR #EHR #ClinicWorkflow #AIinHealthcare #PhysicianWorkflow #HealthcareEfficiency #HealthSystem #ClinicalOperations #ModernMedicine #HealthcareTools #EMRSolutions #HealthcareTransformation #ITinMedicine #PatientCare #HealthTechSolutions #ClinicProductivity #DataDrivenCare #ElectronicHealthRecords #CareCoordination #PracticeEfficiency #HealthcareTrends #CloudHealthcare #MedicalPractice #HealthcareOptimization #MedicalTechnology #HospitalTech #HealthInformatics #CybersecurityHealthcare #MedicalInfrastructure #SecureData #RemoteCare #HealthcareAutomation #HealthSoftware #MedicalIntegration #HealthcareHardware #SlowEMR #ServerLag #EMRPerformance #MedicalITSupport #TechInClinics

Latency is death by a thousand cuts. So, fix it. Here are 5 proven ways: 1. Fix Your Database Queries A single poorly written query can add 500ms without you even noticing. Multiply that by thousands of requests, and you’ve got a disaster. Slow queries = slow product. - Stop running SELECT *. - dd indexes. - Kill N+1. - Measure, don’t guess. (EXPLAIN is your best tool) 2. Cut Network Hops Every time a request bounces from Service A → Service B → Service C → Service D... You’re adding latency. - Collapse small services where it makes sense. - Check backend-for-frontend (BFF) 3. Cache Frequently Used Data If data doesn’t change, why fetch it again? Sessions. Catalogs. Config. Keep it hot. Serve it fast. Stale cache is bad. But most of the time, no cache is worse. 4. Batch & Parallel Requests Latency stacks up when you send multiple small requests sequentially. Don’t make 10 trips for 10 items. Batch them. Or go parallel. Fewer requests. Faster results. 5. Reduce Data Transfer Sending too much data is like delivering a truckload when you only needed a backpack. - Strip unused fields. - Compress responses. - Paginate results. - Optimize images. Speed isn’t just a feature. It’s the foundation of user experience. Comment with your worst latency story. And share this with that engineer who thinks another microservice is the answer. 😉