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Hospital executives often face the difficult challenge of balancing clinical excellence with financial sustainability. One area that directly impacts both is the utilization of highly profitable services.

When these services are underutilized, hospitals miss significant revenue opportunities and also face inefficient resource use. As a result, improving the utilization of these high-margin services is crucial for driving overall growth and financial stability. 

A powerful tool that can help healthcare providers maximize the utilization of high-margin services is healthcare demand forecasting. By leveraging healthcare data and predictive analytics, hospitals can better anticipate patient needs and allocate resources accordingly.  

In this blog, we will explore the major pain points hospital executives face regarding high-margin service utilization, and how demand forecasting can help solve these challenges, boosting both profitability and operational efficiency. 

How underutilization of high-margin services impacts hospital growth 

High-margin services, such as elective surgeries, imaging services, and specialized procedures, are key revenue drivers for hospitals. Unfortunately, these services are often underutilized due to poor scheduling, inefficient resource allocation, and a lack of visibility into patient demand. The underutilization of these services means missed opportunities to maximize revenue and improve operational efficiency. 

Demand forecasting offers a solution to this problem by predicting patient needs in advance. Through the analysis of historical patient data, demographic trends, and seasonal fluctuations, hospitals can more efficiently identify the periods when demand for high-margin services will peak.  

This enables hospital executives to schedule services at optimal times, ensuring that there is enough patient volume to support them. 

For example, by anticipating increased demand for elective procedures during certain times of the year, hospitals can proactively schedule operating rooms and staff to accommodate this surge, thereby minimizing downtime. This ability to match service availability with patient demand helps to fully utilize high-margin services, driving revenue growth. 

Demand forecasting helps improve resource allocation 

The efficient allocation of resources is another major challenge for hospital executives. Understanding how much staff or equipment is needed and when is critical to resource management. But without accurate forecasting, hospitals may allocate too many or too few resources. Overstaffing results in higher operational costs without a corresponding increase in revenue, while understaffing leads to delays, decreased patient satisfaction, and lost revenue opportunities. 

Having insights into when health systems need to increase resources or focus resources in a particular direction can mean the difference between maintaining a profit margin and missing out on revenue opportunities. Demand forecasting can give hospitals insights into when and where to allocate resources.  

Leveraging data on patient flow, historical service utilization, and staffing patterns ensures that high-margin services are appropriately staffed, reducing waste and improving efficiency in service delivery. This data-driven approach enhances financial outcomes and enables hospitals to more accurately predict patient demand, allowing them to allocate resources effectively.  

Beyond financial benefits, improved demand forecasting supports better clinical outcomes by ensuring patients receive timely care, reducing delays, and enhancing overall patient satisfaction and health outcomes. 

Leveraging demand forecasting to improve visibility into service profitability 

Many hospital executives struggle to get a clear picture of which services are the most profitable. This lack of visibility can lead to underinvestment in high-margin services and overinvestment in lower-margin ones, negatively affecting the hospital’s overall financial performance. Without detailed insight into profitability, executives cannot effectively prioritize which services to promote, expand, or optimize. 

But demand forecasting using financial performance data can help hospital executives better understand which services should be prioritized. Integrating financial data with utilization patterns can help identify those services that are prime for promotion and expansion.   

For example, a hospital may discover that imaging services generate higher margins than certain elective surgeries, allowing them to prioritize the expansion of these services. Demand forecasting enables hospitals to optimize financial performance with clinical outcomes — prioritizing high margin procedures with the demand for those same services. 

Focusing on patient preferences positions hospitals for growth 

Although maintaining a profitable business is always the goal, hospitals that focus on patient preferences help to better position themselves for growth.  

Understanding the full range of their patients’ need and preferences is often a challenge, but if hospital executives can effectively use demand forecasting to get a sense of the specific needs and preferences of the various patient segments they serve, they can tailor high-margin services to those groups. 

Because demand forecasting tools help hospitals predict the future needs of different patient populations, hospitals can offer high-margin services that are in demand and specifically target those services to those patients who desire them. Not only does this increase hospital revenue, but it increases patient satisfaction and improves outcomes.

Many high-margin services fall within the category of elective procedures, and when a hospital can provide those elective offerings that patients want, patients are more likely to become loyal patients and promote those services through word of mouth. 

Healthcare data analytics into patient demographics and usage patterns facilitate demand forecasting, which enables precise segmentation and service targeting. The insight gleaned from this data provides a look at a hospital’s full patient population, including services that have historically been in high demand as well as those services that may be popular among the population in the future.  

With this information, hospitals are better positioned to offer high-margin services to the right patients at the time when they need them.  

Hospital executives face numerous challenges in maximizing the utilization of high-margin services, but healthcare demand forecasting provides a powerful solution. By leveraging data on patient demand, resource allocation, profitability, and patient segmentation, hospitals can optimize their service offerings, enhance operational efficiency, and increase revenue. 

Healthcare demand forecasting enables hospitals to: 

  • Predict patient needs and optimize scheduling to fully utilize high-margin services 
  • Allocate resources more effectively, reducing waste and improving profitability 
  • Gain visibility into service profitability, ensuring that high-margin services are prioritized for growth 
  • Tailor services to meet the specific needs of different patient segments, improving both patient satisfaction and revenue 

With healthcare demand forecasting, hospitals can make data-driven decisions that maximize the utilization of their most profitable services, driving long-term growth and financial success. For hospital executives looking to improve financial performance, implementing healthcare demand forecasting is no longer a luxury—it’s a necessity. 

The complexity of healthcare data. Clarified.

Made for your most precise decision-making yet. Introducing the Clarify Atlas Platform®, our healthcare analytics platform and the foundation underpinning each of our building blocks. Atlas powers every decision with clarity brought from 20 billion data points and our best-in-class benchmarking technology.

Made for your most precise decision-making yet. Introducing the Clarify Atlas Platform®, our healthcare analytics platform and the foundation underpinning each of our building blocks. Atlas powers every decision with clarity brought from 20 billion data points and our best-in-class benchmarking technology.