As health systems look to adopt new technology platforms that engage frontline caregivers to improve patient outcomes, understanding how a platform interacts with users and sustains engagement is critical to understanding if the technology will be successful. Even the very best solutions won’t have any meaningful impact unless they are adopted by primary users, and used frequently and consistently.
Initiating this type of behavior change isn’t an easy task as health systems, clinicians, and frontline staff are overwhelmed and overburdened; systems are working with tighter staffing ratios and reduced margins, and many solutions provide vast amounts of data in multiple systems without the tools to assist frontline staff with analyzing and prioritizing alerts and relevant information.
Bayesian Health builds its products around several principles of behavior change, targeting three of the hardest stages—the preparation, action, and maintenance stages—to encourage continued use and maximize impact.
Read our latest whitepaper on how Bayesian secures adoption and long-term engagement.