Same Diagnosis, Different Outcome
A Clinical Story of Timing, Intervention, and Preventable Rehospitalization On a typical morning in a skilled nursing facility, nothing about either patient suggested what would follow. Both carried a diagnosis of chronic obstructive pulmonary disease. Both were oxygen-dependent. Both had been stable enough to remain in the facility after prior acute episodes. From a clinical […]
AI in Post-Acute Care: Beyond LLMs
AI in Post-Acute Care Is More Than Language Models As artificial intelligence in healthcare continues to evolve, much of the conversation has centered around large language models (LLMs). While these technologies have transformed how clinicians interact with data, they represent only one part of a much broader opportunity. At the recent PALTmed conference, SAIVA AI’s […]
How Care Actions Help Skilled Nursing Teams Intervene Earlier
From Prediction to Action Reducing hospital readmissions in skilled nursing facilities (SNFs) remains one of the most important goals in post-acute care. Unplanned hospital transfers interrupt recovery, increase the risk of infection and cognitive decline, and create stress for both residents and care teams. For many facilities, preventing re-hospitalization is a central focus of quality […]
Poor Clinical Documentation in Skilled Nursing
How Missed Signals Lead to Clinical Decline Poor clinical documentation in skilled nursing facilities (SNFs) is a major contributor to missed clinical risk, delayed intervention, and preventable hospitalizations. Even when staff document diligently, fragmented records and disconnected data can prevent care teams from recognizing early signs of deterioration. This is not a failure of caregivers. […]
The Perils of Poor Documentation
Documentation, or the act of taking concise and accurate notes about your patient’s health and daily care, is probably not everyone’s favorite aspect of patient care. However, it is critical that all patient charting is complete in order to ensure accurate communication between members of the clinical team and medical providers. Incomplete or inaccurate documentation […]
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. Rehospitalization disrupts residents’ lives, increases the risk of healthcare-associated infections and cognitive loss in vulnerable residents, and is costly. We know there are many barriers to implementing new technology: Resistance to learning how […]
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. Frequent, short-term admissions are a part of life for people living with CHF. Approximately a quarter of patients hospitalized with CHF will […]
How to Empower Your Clinical Team with Artificial Intelligience in Long-Term Care
Statistics abound detailing the shortage of nurses in skilled nursing homes. But you probably don’t need to read the data. You’re likely living the staffing crunch firsthand. Instead of having to do more with less, you want to focus on offering consistent, quality care. Artificial intelligence in long-term care can help. We’ll just offer one […]
How AI Powers Proactive Risk Assessment in Skilled Nursing Homes
The aging population, and the growing need for long-term care among younger people affected by COVID, is putting great demands on skilled nursing professionals. Rising resident rates make for a more complicated risk landscape too. The key is to be proactive rather than reactive. Yet long-term care facilities face many challenges. While demand increases, staffing […]
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. What if there was a way to decrease the risk of rehospitalization by identifying at-risk patients earlier? There is. Imagine you are a busy […]