Putting a Stop to the Revolving Door of Rehospitalizations
Identify Patients Most At-Risk for RTH. Reduce Short-Stay Rehospitalizations up to 52%.
How Predictive AI Can Prevent Rehospitalization and Save Lives
Medical care is fraught with uncertainty, especially during times of transition. Patients bear medical, mental, emotional, psychological, and financial burdens when they are readmitted shortly after being discharged from the hospital. Learn More.
Ease Your SNF Staffing Challenges using SAIVA AI
It should come as no surprise that 94% of skilled nursing facilities surveyed by the American Health Care Association reported staffing shortages, with 73% reporting that the situation is worse than it was in 2020.
How AI Powers Proactive Risk Assessment in Skilled Nursing Homes
Rising resident rates in nursing home complicates the risk landscape. Learn from Avante Group's COO how AI can help proactively assess nursing home risk.
Putting Predictions into Action
At Avante, like many skilled nursing facilities, we monitor our return to hospitalization rates and look for ways to reduce these events.
How to Empower Your Clinical Team with Artificial Intelligience in Long-Term Care
Healthcare faces a skills shortage negatively impacting hospital readmits. Learn how to empower a clinical team with artificial intelligence in long-term care.
Return-to Hospitalization: A major problem for patients with CHF
Congestive heart failure (CHF) leads to more hospitalizations and readmissions than either pneumonia or heart attacks and CHF is estimated to be the primary diagnosis for one-quarter of patients in skilled nursing facilities.
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SAIVA AI can do for your team
- Provide current hospitalization risk factors most prevalent by site and setting
- Understand trustworthiness of current documentation efforts
- Map prospective documentation improvements