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NEURAL INSIGHTS
FOR CLINIC OPERATIONS

Streamline clinic operations, boost growth, and enhance patient satisfaction with NICO's powerful forecasting and analytics

UNLOCK THE POWER OF DEEP LEARNING

 

NICO is a fully automated, deep learning model that seamlessly integrates real-time data from your RIS to generate valuable predictions for patient demand, ensuring optimised clinic operations.

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The Next-Generation Predictive Workbench

SOLUTION FEATURES

PATIENT DEMAND FORECASTING AND PERFORMANCE MONITORING

Effortlessly choose a time series for forecasting or evaluating historical performance. Gain a comprehensive view of patient demand across business units, locations, modalities, and procedures through the planning hierarchy.

 

VISUALISATION AND OPTIMISATION

Utilise the interactive time series viewer for powerful visualisations that enable demand forecasting, performance monitoring, and resource optimisation. Reduce patient wait times by leveraging resourcing bar charts that display staffing needs and imaging equipment utilisation, along with a heat map that presents demand by hour and day.

DEEP LEARNING DATA INSIGHTS

Harness the power of natural language data insights to easily understand time series features and trends. Review actionable natural language recommendations to better understand the relationship between forecasted patient demand, staffing requirements, and imaging equipment utilisation.   

SCENARIO PLANNING

Extend the forecast horizon to anticipate imaging equipment capital requirements for confident future planning. Utilise scenario planning to assess potential shifts in demand, resources, and other factors, including the impact of technology, health changes, and policy shifts for informed expansion decisions.

 

EXTERNAL FACTORS

Incorporate external factors influencing demand, such as demographic trends, seasonal patient volume fluctuations, or changes in referral patterns. Clinics may encounter demand variations due to factors like disease prevalence, or new diagnostic methods.

 

OPTIMISED SCHEDULE CREATION

Develop efficient schedules for staff and imaging equipment utilisation by accounting for patient demand, staff availability including subspecialties, and equipment maintenance requirements. Minimise wait times and optimise resource allocation to ensure peak performance in clinics.

COLLABORATION AND SUCCESS

Leverage Microsoft Teams integration to effortlessly share insights, promote seamless communication, and foster collaboration among colleagues, enabling unified, efficient, and informed decision-making.

 

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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 well-organised staff scheduling.

  • Streamline staff and resource scheduling by factoring in demand, availability, and maintenance needs.

  • Easily integrates with your clinical 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 deployment solution.

30%

REDUCTION IN PATIENT WAIT TIMES

 

20%

INCREASE

IN CLINIC EFFICIENCY 

15%

GROWTH IN PATIENT VOLUME

10%

REDUCTION IN STAFF COSTS

"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
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