Human Capital Management: A Data-Driven Staffing Approach

Healthcare organizations across the country use worked hours compared to volume as the key stat to decide staffing levels in their clinics. However, this metric does not account for the copious administrative tasks done in in clinics which differ greatly by specialty and clinic. Imagine a holistic tool, housed in your analytics platform, that uses real, current clinical data including visits, patient messages, triage calls, prescription refills and much more to not only suggest number of staff needed but the type of staff as well. This tool has been developed and is in use within our organization to consider much more than just visit volume when determining the staff needed in our clinics. We would like to share how you can develop a similar tool in your organization, using real data, to objectively suggest clinic staffing levels by staff type.