Behavioral health organizations are increasingly expected to use metrics and analytics to measure success, identify problems and make informed decisions based on reliable and valid data. The message has been sent loud and clear that the future will require organizations to demonstrate value with objective and meaningful data. Many if not most behavioral health practitioners and organizations struggle to create practical procedures and processes that integrate data into ongoing and routine decisions designed to improve dimensions of quality such as clinical outcomes, functional improvements, coordinated care, timeliness, safety, client satisfaction and perceptions, service utilization, equitable care and many other indicators of successful performance. Supervisors again find themselves in a pivotal position to use data to drive decisions and improve quality. All too often though, the training and experience of behavioral health supervisors and practitioners doesn’t emphasize the knowledge and skills needed to effectively use data to inform decisions.
This webinar focuses on the foundational knowledge that supervisors will need to effectively meet the challenges of an increasingly data driven healthcare system. Participants will be able to describe the difference between process and outcome indicators; select and measure key performance indicators; use data to identify problems and measure solutions and finally, to see data as a friend and support to professional satisfaction and success.
supervision, data, supervisory best practices, leadership