This December, Diagnostic Imaging featured OpenTempo CEO Rich Miller’s article on Forecasting Clinical Demand in Radiology.
By forecasting clinical demand, radiology practices are able to address patient volume fluctuations and changes in provider availability. It also ensures that they are assigning each patient a provider with the appropriate credentials.
To benefit from this approach, however, radiology practices must step outside the comfort zone of staffing quotas.
Staffing quotas are excellent for long-term planning; they provide a solid guideline for estimating future staffing. However, for short-term needs, staffing quotas can be inaccurate.
The questions that practices need to address in the short-term are Do we have the right mix of providers for the current day’s exam load? and Are we paying for any providers who are not being fully utilized? In order to answer those questions, practices need to integrate their provider schedule, payroll system, and RIS. This allows access to the data necessary for forecasting clinical demand.
Forecasting clinical demand helps radiology practices reduce patient delays caused by assigning a provider without the appropriate credentials for the patient. It also helps ensure that both space and imaging equipment are fully utilized.
By reducing patient delays and increasing room/equipment utilization, clinical demand forecasting allows radiology practices to control avoidable costs while improving patient flow.
For radiology practices wishing to know more about forecasting clinical demand and the potential financial benefits their practice could see from its implementation, please contact us for a demo. We would be glad to show you exactly how clinical demand forecasting could work in your unique situation.