ML Tool Reduces Number of Falls at One Long-Term Care Facility
PruittHealth, a long-term care organization, reduced the number of falls among its residents at one facility to zero by using an ML tool that uses AI and predictive analytics to alert staff to changes in resident's conditions.
Norcross, Ga.-based PruittHealth, a long-term care organization that serves approximately 24,000 patients daily across more than 180 locations, recently signed on for a full deployment of a cutting-edge solution from the Minneapolis-headquartered MatrixCare, a post-acute EHR software solutions company, after a three-month pilot. The solution, Clinical Advanced Insights, is a machine learning (ML) tool that uses artificial intelligence (AI) and predictive analytics to identify and alert skilled nursing facility staff to changes in residents’ conditions and fall risk. Focusing its pilot on skilled nursing residents who had experienced more than one fall in a 30-day period, PruittHealth was able to reduce the number of falls among those residents at one of its facilities to zero, saving them from possible injuries, hospitalizations or even death, while reducing costs.
Healthcare Innovation Managing Editor Janette Wider had the opportunity to speak to Annette Salisbury, senior vice president of clinical services at PruittHealth and Ingrid Svensson, chief product officer at MatrixCare about implementing ML and AI in the post-acute care setting.