Fairness Engineered
Neural Insights for Clinic Operations
Neural Insights for Clinic Operations (NICO) combines deep learning and quantum technologies to accurately forecast patient demand and optimise workforce scheduling for efficiency and fairness.
The fully automated deep-learning model precisely anticipates patient demand, seamlessly integrating real-time data from your clinic systems. Quantum-optimised workforce scheduling then considers factors such as patient demand, staff availability and preferences, subspecialties, and equipment capacities, all with the objective of maximising service levels whilst minimising costs.
Our Approach
Predict
Advanced Demand Insight: NICO commences with leveraging a sophisticated deep learning model to accurately predict patient demand. It integrates seamlessly with the clinic's existing data systems to analyse real-time data, ensuring a precise and comprehensive understanding of future needs.
Plan
Quantum-Optimised Schedules: Automatically integrating staff preferences and availability, NICO employs quantum computation to align patient demand with resource allocation. The result is a finely tuned schedule that optimises clinic operations, upholds fairness in shift assignments, and cuts down costs.
Act
Seamless Schedule Deployment: The optimised rosters are then published to "Shifts" for Microsoft Teams. This ensures that the schedules are accessible and manageable for both staff and clinic administrators, allowing for smooth schedule management and deployment.
Solution Features
Healthcare companies have found that AI forecasting engines can automate up to 50 percent of workforce-management tasks, leading to cost reductions of 10 to 15 percent.
- McKinsey & Co., 2022
Advanced Patient Demand Forecasting
AUTOMATED DEMAND FORECASTING
Effortlessly choose a time series for fully automated deep-learning forecasting or evaluating historical performance. Gain a comprehensive view of patient demand across business units, locations, modalities, and procedures through the planning hierarchy.
INTUITIVE FORECASTING VISUALISATION
Utilise the interactive time series viewer for powerful visualisations that enable demand forecasting and performance monitoring. This includes heat maps that present demand by hour and day, aiding in recognising patterns and peak times.
COMPREHENSIVE SCENARIO PLANNING
Extend the forecast horizon to anticipate not just immediate equipment and staffing needs, but also long-term capital requirements. Scenario planning tools allow for the assessment of shifts in demand, resources, and external factors like technological and health trends, or policy changes.
Quantum-Enhanced Resource Optimisation
QUANTUM-ASSISTED WORKFORCE SCHEDULING
Automatically create quantum-optimised workforce schedules by considering a multitude of factors such as patient demand, staff availability and preferences—including subspecialties—and equipment capacities, all with the objective of maximising service levels while minimising costs.
RESOURCE ALLOCATION MONITORING
Leverage resourcing bar charts to display current and forecasted staffing needs and equipment utilisation. This ensures efficient resource allocation, helping to reduce patient wait times and achieve operational excellence.
EASY, REAL-TIME ACCESS TO SCHEDULES
Access optimised work schedules in real-time from any web-enabled device, making it easier to coordinate with your team and reducing time spent on schedule changes.
Your Benefits
Boost operational efficiency by refining processes and allocating resources based on accurate patient demand forecasting.
Leverage advanced technology to uncover patterns and trends, enabling you to make informed, data-driven decisions.
Elevate customer satisfaction through reduced wait times and quantum-optimised staff scheduling.
Streamline staff and resource scheduling by factoring in demand, staff availability and preferences, and maintenance needs.
Easily integrate with your clinic systems, including RIS, PMS, and EHR, using HL7 FHIR-compliant APIs or Robotic Process Automation (RPA).
Experience the convenience and security of an Azure cloud-hosted solution.
The Numbers
30%
REDUCTION
IN WAIT TIMES
20%
INCREASE
IN CLINIC EFFICIENCY
10%
REDUCTION
IN STAFF COSTS
