​AI software offering predictive insights to aid proactive real-time decision support and target opportunities to prevent hospital acquired infections by identifying risk for infections and precluding the need for instituting aggressive care later through implementation of prevention strategies to high-risk patients as part of a HAI surveillance system.
SafeCare AI Patient Safety I – Prevent Hospital Infections
​Preventing Hospital Acquired Infections - Dynamic Healthcare Predicting ​ 
Prevent Hospital-acquired Infections
​​High-quality healthcare has been defined as care that is safe, effective, patient-centered, timely, efficient and equitable. Healthcare associated infections (HAIs) are among the most common complications of hospital care.
​          According to the Centers for Disease Control and Prevention (CDC), at any given time, approximately 1 of every 25 hospitalized patients in the USA contract a hospital acquired infection. That represents nearly 650,000 patients annually. 
The overall direct cost of hospital acquired inefctions range from $28-45 Billion annually. These infections can lead to significant morbidity and mortality, with tens of thousands of lives lost each year. HAIs are estimated to cost billions of dollars annually. Such infections were long accepted by hospitals as an inevitable hazard of hospitalization. However, it is now understood that relatively straightforward approaches can prevent many common HAIs.
​          Flaws contributing to preventable mortality include delays in responding to deteriorating patients, suboptimal critical care, hospital-acquired infections, postoperative complications, medication reactions, and community issues such as the availability of hospice care.