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Analyzing historical and future acute neurosurgical demand using an AI-enabled predictive dashboard
Anand S Pandit1,2, Arif H B Jalal3, Ahmed K Toma4
1High-Dimensional Neurology, Queen Square Institute of Neurology, University College London, London, UK. a.pandit@ucl.ac.uk.
Scientific Reports
|May 9, 2022
Summary
AI-powered dashboards can predict rising neurosurgical referrals, aiding resource allocation in the post-pandemic era. This helps manage increasing patient numbers and surgical backlogs effectively.
Area of Science:
- Neurosurgery
- Healthcare Analytics
- Artificial Intelligence
Background:
- Characterizing acute service demand is crucial for emergency specialties like neurosurgery to optimize resource distribution and treatment access.
- The post-Covid-19 pandemic period presents challenges with surgical backlogs and increased acute referrals, necessitating advanced analytical tools.
- Current healthcare dashboards offer insights based on inference, limiting their predictive operational utility.
Purpose of the Study:
- To retrospectively analyze and prospectively forecast acute neurosurgical referrals using a novel AI-enabled predictive dashboard.
- To assess the impact of the Covid-19 pandemic on neurosurgical referral volumes.
- To evaluate the usability, feasibility, and acceptability of the AI-enabled dashboard among healthcare stakeholders.
Main Methods:
- Retrospective analysis and prospective forecasting of 10,033 acute neurosurgical referrals from March 2020 to October 2021 at a London tertiary neurosciences center.
- Application of validated time-series forecasting methods, including Prophet, to predict referral trends.
- Mixed-methods approach to evaluate the stakeholder acceptance of the AI-enabled dashboard.
Main Results:
- Weekly neurosurgical referral volumes significantly increased during the study period, particularly for spinal referrals (p < 0.05).
- Time-series forecasting projected a continued increase in referrals beyond October 2021.
- Prophet demonstrated superior test and computational performance for forecasting neurosurgical referrals.
- The AI-enabled dashboard was found to be usable, feasible, and acceptable to key stakeholders.
Conclusions:
- AI-enabled predictive dashboards are valuable tools for characterizing and forecasting acute neurosurgical demand.
- These tools can support dynamic resource allocation and improve timely access to care in high-demand neurosurgical services.
- The developed dashboard approach is a viable and acceptable solution for healthcare providers managing post-pandemic referral surges.
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