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.

Efficiently Balance Patient Demand

and Resource Allocation

Our Approach

Demand Forecasting: The process begins with NICO employing a sophisticated deep learning model to accurately forecast patient demand. This stage involves seamless integration with the clinic's existing data sources, enabling the collection and analysis of real-time information.

Staff Preferences and Resources: Staff members input their availability and preferences into "Shifts" for Microsoft Teams. The system then continuously monitors and assesses detailed information about clinic resources, including staff skills and equipment capacities, providing a holistic view of available resources.

Quantum-Optimised Schedules: With patient demand projections and staff-resource data at hand, NICO uses a quantum-optimised solver to create highly efficient staffing schedules. This crucial step balances patient needs with staff preferences and resource availability, optimising service levels and minimising operational costs.

Publishing to Shifts for Microsoft Teams: The final step involves publishing the optimised schedules 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

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 skills—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.

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

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