SAIVA Saves Time and Supports Professionalism at Rehab Facility

New Eastwood Healthcare and Rehabilitation Center is a 97-bed facility in Easton, Penn. This facility is dedicated to the post-hospitalization care of individuals recovering from joint replacement, cardiac, pulmonary, neurological, and other acute medical conditions. Reducing rehospitalizations a priority Although New Eastwood is located just across the street from the hospital, that doesn’t make readmits […]

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, […]

SAIVA Announces Innovation Grant for Applied AI in Nursing Homes

Palo Alto, CA – SAIVA announced today a grant program to support the adoption of machine learning to reduce rehospitalization for long-term and post-acute care providers. Applying machine learning, also referred to as artificial intelligence, to inform clinical practice is relatively new to the post-acute care sector but promises to have dramatic impact on patient […]

Round 2 of Innovation Grants Announced – Applied AI in Nursing Homes

Palo Alto, CA – SAIVA announced today that it will launch a second round of grants to support the adoption of machine learning to reduce rehospitalization for long-term and post-acute care providers. Response to the first round was robust. Applying machine learning, also referred to as artificial intelligence, in the post-acute care sector promises to […]

SAIVA featured in McKnight’s Long-Term Care News

When a customer shares their unsolicited experiences, you know you’re doing things right! Mike Logan, CEO of Michigan Masonic Home, was published as guest columnist in a recent issue of McKnight’s Long-Term Care News, sharing the success his team experienced using SAIVA’s artificial intelligence to dramatically reduce rehospitalizations. “I am pleased to say that, based […]

SAIVA Technology Recognized Twice in McKnight’s Technology Awards

Two SAIVA Healthcare customers were selected among the finalist in the McKnight’s Excellence in Technology Awards, one of the largest and most prestigious events celebrating providers’ use of technology in skilled nursing, senior living, and home care.  The awards recognize, champion, and celebrate providers that have successfully improved care and services, and furthered their missions […]

SAIVA Customer Wins McKnight’s Technology Award

Congratulations to Michigan Masonic, Silver Award winner of the McKnight’s Technology Award in the Keep it Super Simple category for its submission, Machine Learning to Reduce Hospitalizations in the Skilled Nursing track. The McKnight’s Execellence in Technology Awards is one of the largest and most prestigious events celebrating providers’ use of technology in skilled nursing, […]

United Church Homes Adds Artificial Intelligence AI Tool Augments Critical Decision Making

January 6, 2022, PALO ALTO, CA — United Church Homes, Inc. (UCH) has installed SAIVA Healthcare’s artificial intelligence (AI) technology to improve patient outcomes. The Ohio-based UCH will use SAIVA’s daily AI tool to predict patient risk and drive timely intervention to reduce or eliminate patient risk for rehospitalization. SAIVA ingests data from Electronic Health […]

Daily Risk Reports Support Patient-focused Care for Hip Replacement Therapy

In use since the 1960s, “hip replacement surgery is one of the most successful operations in all of medicine.” Yet the surgery is not without risks. When long-term care facilities welcome a patient for hip replacement therapy, practitioners need to be on the lookout for signs of pending rehospitalization. SAIVA’s technology can help. Hip replacements […]

Wound Infection Risk Factors Identified Early

Non-healing wounds are a prevalent concern in skilled nursing facilities, especially among patients with diabetes. Fortunately, with SAIVA’s artificial intelligence tool, caregivers can know which patients are at risk and act proactively. This article considers an example where 65-year-old James’s wound infection risk factors were detected early. According to the American Journal of Managed Care, […]