Acute Care Facility Benefits from a Holistic View of Patient

United Church Homes (UCH) owns or manages more than 80 long term care older adult and independent housing communities in 15 states and two Native American nations. Since the founding of its “home for the aged” in 1916, UCH celebrates and supports older adults in living longer, more active and healthier lives. To do so, UCH must continually adapt to improve its care and services.

Challenged by spiraling costs and staffing concerns

Many of UCH’s residents have significant health problems including cognitive issues, which make a hospital visit especially confusing and scary. These trips also bring increased risk of other healthcare-associated infections and are costly for payers and stressful for residents’ family members as well.

Looking to optimize its care and services even as costs spiral and staffing challenges add strain, UCH in Fall 2021 piloted SAIVA’s Artificial Intelligence (AI) tool to reduce or eliminate patient risk for re-hospitalization.

Proactive tool helps prioritize

With the nurses on duty changing regularly, and so much work to be done daily, SAIVA’s proactive reporting has helped UCH physicians and care managers prioritize patient care for those who need it most. Staff gain easy access to actionable insights drawn from the extensive data in the residents’ electronic health records (EHR).

Using machine learning and predictive AI, the platform scours UCH community records for indicators that a resident may be at risk. Team members are sent a daily email identifying the 15 residents most likely to be readmitted to hospital, ranked in order by highest risk, and suggesting evidence-based interventions.

During the pilot in five UCH locations, SAIVA helped reduce re-hospitalizations by 19 percent. Since June 2021, when UCH rolled out the SAIVA solution across eight locations with more than 700 beds, the hospital bounce back rate has dropped by 20 percent.

SAIVA’s solution gives UCH the ability to make decisions based on the best overall picture of the individual’s needs and care requirements. This is especially useful when the communities are having to rely on more inexperienced nurses and nursing agencies during the pandemic staffing shortages.

The SAIVA documentation helps with Minimum Data Sheet (MDS) reporting as well. Plus, it is reassuring to know the thorough reports are available in the case of litigation.

Facilitating early detection and healing in place

SAIVA’s report aggregates real-time data to help facilitate early detection, quick treatment, and healing in place. With the AI tool sifting through the EHR inputs at every level and giving a detailed report, all the information is tied together. UCH can actually use all its data to prevent a complication from occurring rather than using it as a documentation tool to see why it did happen.

Along with the daily risk ranking emails, UCH uses the data in weekly community-wide calls reviewing re-hospitalization rates. They run root cause analyses on a case-by-case basis to determine what could have been done differently, which continues to improve care and operations.

Having enough budget, people, and time is always going to be a struggle. SAIVA is an innovative way to make life better for UCH residents and staff. With SAIVA’s technology, UCH can make people’s lives safer without having to work harder.

RESULTS

  • Reduced the hospital readmit rate by 19% during the five-building trial.
  • Cut hospital bounce back by 20% in the inaugural 10 months in all buildings.
  • Saves an estimated $10,000 monthly.

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  • Learn the importance of machine learning in anticipating clinical decline
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  • Become aware of the clinical decline within your patient population