Patient flow forecasting can have a significant impact on patient outcomes. Specialist forecasting software can support pharma companies in achieving accurate predictions for enhanced outcomes.
Here, we discuss the concept of patient flow forecasting, its methodology, common statistical models and methods, and how dedicated software is essential in mastering this complex forecasting technique.
Navigating change management in pharmaceutical forecasting can be a daunting challenge, but with FC365 these challenges are met head-on. Discover how this innovation is helping teams embrace technological advancements within forecasting.
"Digital transformation in pharma has become a critical imperative to address industry challenges and unlock opportunities for enriched patient care, innovation, and efficiency through the power of technology."
With the pharmaceutical industry becoming increasingly digital, what processes are needed to enhance collaboration, communication, and to unlock the value of digital tools to achieve business goals?
Epidemiological forecasting plays a crucial role in understanding disease trends and predicting their impact. The accuracy of these forecasts is influenced by various factors, primarily the quality and availability of data.
By including the wider competitive set in the forecasting process, pharmaceutical companies can observe and visualize trends and patterns more clearly. This approach can provide valuable insights, to make informed decisions and develop strategies.
In this short blog we explore the three main time series options used within the pharmaceutical industry to analyse historical data and project trends in the forecast.
In this blog, we explore three different model types used in epidemiology forecasting to provide valuable insights into disease dynamics and strategic planning and decision-making within the pharmaceutical industry.
Ultimately, the accuracy of the sales forecast directly impacts the quality of business decisions. A more accurate forecast provides a solid foundation for decision-making