HealthLeaders Media September 23, 2022
The ability to predict healthcare staffing supply and demand changed dramatically for hospitals and health systems during the pandemic, when forecasting algorithms based on historical trends failed.
Now, facilities are turning to predictive modeling through machine learning for more accurate predictions as they anticipate future workforce needs. “Our industry is becoming more advanced, and there is a greater desire to make data-driven decisions rather than rely only on what happened in the past,” said Scott Armstrong, senior director of client growth, and Jason Lander, EVP of product and service innovation at Medical Solutions. Below, the two discuss why predictive staffing models, in partnership with a total healthcare workforce ecosystem, are more timely, efficient, and cost-effective.
Q: What are the benefits...
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