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Healthcare – Hospital Occupancy Forecasting:

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Key Challenge:

Adapting to anomalies like COVID-19 using domain expertise and innovative feature engineering for rapid model adjustment was a critical challenge. The unpredictability of pandemics required the model to be flexible and responsive to sudden changes in patient inflow.

Solution

Evolve Ai Labs collaborated with the client’s data science team, developing around 100 time series models for each ward. These models, informed by historical admissions and discharges, were integrated with the hospital’s bed and staff management systems

Innovative feature engineering allowed the models to adapt swiftly to anomalies like COVID-19.

Impact

The solution, visualised via Qlik dashboards and implemented network-wide, resulted in a 5% reduction in wait times, a 2% decrease in casual staff utilisation, and approximately $1M in cost savings.

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