Synnovis, a leading pathology provider for the UK's NHS, delivers timely and cost-effective testing services, essential for 95% of clinical diagnostics. Facing growing demand for advanced healthcare data analysis, Synnovis sought a trusted development partner to optimize operations and meet rising clinical needs.
Background
Despite best efforts, challenges like inappropriate test ordering, duplicated requests, and missed diagnoses have become more frequent.
To solve these issues, Synnovis aimed to integrate AI into their computerized physician order entry (CPOE) systems. The goal was to:
- Identify unnecessary and duplicated tests.
- Forecast patient pathology tests and predict disease risks.
- Optimize clinical decision support using AI.
Solution
Integrio Systems designed and implemented AI-driven pathology test optimization solutions, focusing on the following key areas:
1 AI-Driven Test Recommendations:
- Analyzed historical data, clinical guidelines, and peer reviews to identify unnecessary, duplicated, and missing tests.
- Integrated AI into CPOE systems to provide evidence-based test ordering advice.
2 Forecasting Pathology Tests and Disease Risks:
- Developed models to forecast patient pathology test needs, anticipating trends based on clinical data.
- Implemented AI to predict high-risk conditions such as pre-diabetes and diabetes by analyzing symptoms and test results, enabling earlier intervention and risk reduction.
Technologies
Results
The implementation of Integrio’s AI-powered solutions delivered significant improvements in test accuracy, efficiency, and disease prediction:
- Optimized pathology test ordering behavior.
- Reduced operational inefficiencies and clinician workload.
- Forecasted patient test needs and disease risks with high accuracy.

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