The Predictive Capacity Management & Analytics Platform
While others analyse what happened, MyIQ Health anticipates what will happen
Technical Architecture
Forward-Looking Technology Stack
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Advanced Forecasting
Advanced forecasting specifically designed for hospital applications
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Machine learning algorithms trained on hospital capacity patterns
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Multi-variable analysis including seasonality, staffing, and resource availability
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Advanced prediction capabilities with high daily accuracy.
Microsoft Enterprise Foundation
Enterprise-grade security and scalability
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Azure cloud infrastructure with geo-redundancy
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Industry-standard encryption and compliance
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Seamless integration with Microsoft ecosystem
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Healthcare Integration Layer
Purpose-built for hospital systems
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HL7 and Rhapsody standards compliance
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Patient Management System connectivity
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Real-time data synchronisation without workflow disruption
MyIQ Predictive Capacity Platform
Capability | Traditional Analytics Platforms | MyIQ Predictive Capacity |
|---|---|---|
Implementation | Complex
consultant-driven deployment |
Rapid integration through proven partnerships |
Value
Delivered | Comprehensive operational reporting | Proactive
bottleneck prevention supported by comprehensive operational reporting |
Decision Support | Describes
what happened |
Predicts what will happen |
Team
Approach | Generalist across multiple domains | Specialist
hospital capacity experts |
Accuracy Metric | Focuses on reporting past events | Accuracy about future constraints |
Primary
Focus | Historical reporting and visibility | Future
capacity optimisation |
Core Modules
Demand Forecasting
Predict patient flow before capacity issues occur
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Analyse admission patterns, seasonal trends, and external factors
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Account for procedure scheduling, emergency variations, and discharge patterns
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Generate actionable predictions in advance
Resource Optimisation
Allocate staff based on predicted needs
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Anticipate staffing requirements before shortages occur
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Balance workloads across departments proactively
Bottleneck Prevention
Identify and prevent constraints before they impact care
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Predict capacity conflicts before scheduling issues arise
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Anticipate bed availability challenges
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Prevent resource shortages through predictive planning
Integration Capabilities
Ready-Made Healthcare Connections
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PAS / EMR systems
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Laboratory Information Systems (LIS)
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Radiology Information Systems (RIS)
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Staffing and scheduling systems