Advanced Clinical Specialist Physical Therapist; CCRH System Stroke Clinical Lead Cleveland Clinic Rehab Hospital Copley, Ohio, United States
The Inpatient Rehabilitation Hospital (IRH) setting is associated with an increased risk for falls with potentially fatal and costly consequences. There are currently no IRH specific fall risk assessment tools that objectively assess key fall risk variables. It is imperative that IRH utilize data relevant and specific to their patient care needs to build successful interdisciplinary rehabilitative fall risk assessment and intervention programs. The collection of big data is currently being analyzed in the IRB approved research study, Cognitive Aspects of Fall Prevention, to determine the correlation between nonverbal cognitive deficits and fall risk, identify other relevant variables that correlate to fall events within IRH, and use this data to develop a new fall risk assessment tool that utilizes clinical and administrative patient information to predict and identify patients at highest fall risk in an IRH in order to improve patient safety and quality outcomes.
Participants will Describe how data analytics are important for healthcare
Participants will recognize limitations of current fall risk assessment tools.
Participants will Voice the potential correlation of non-verbal cognitive deficits and fall risk
Participants will Verbalize relevant and specific variables to consider for fall prevention
Participants will Discuss future possibilities for data analytics in healthcare