If your healthcare workforce manages hundreds of data inputs when building your clinician staff schedule, you are not alone. Widespread clarity around those inputs is challenging to achieve due to the inherent complexity in call quotas, policies, time-off requests, credentials, overtime and individual clinician preferences. This type of information is dynamic, complex, and coming from many different people in any given clinical workforce, which makes it hard to organize and build into an operational, clear and timely schedule. The difficult nature of this information is why scheduling is one of the last remaining manual processes left in the healthcare workforce today. This doesn't have to be the case.
Fortunately, some healthcare organizations have found the answer to manual scheduling by combining informational process discipline with supporting technology. Certain tools are available to provide clarity into the need for transparent and and actionable scheduling data.
There are ways to implement this technology into your workforce management system. But it will take communication and commitment across clinicians and administrators to successfully improve your documentation and scheduling practices in order to create a more efficient and cost effective method.
In this video, we discuss the ways you can foster long-term success of healthcare workforce management with Nena Fairbanks, Operations Manager at MD Anderson Cancer Center. Nena will share her experience with implementing technology to collect and analyze current state data. She will discuss how to root out unnecessary complexity in healthcare workforce management, how to make and document decisions and, ultimately, how to automate the creation and management of a healthcare workforce schedule.
Nena Fairbanks is an Operations Manager in the Department of Diagnostic Radiology at the University of Texas MD Anderson Cancer Center. Nena manages the Neuro, Thoracic and Musculoskeletal sections of the department. Nena has 16 years of service with UT Systems and has been with the Department of Diagnostic Radiology for almost two years.
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