Jvion helps healthcare systems and providers prevent harm and lower costs through its AI-enabled prescriptive analytics solution. An industry first, the Jvion Machine™ goes beyond simple predictive analytics and machine learning to identify patients on a trajectory to becoming high risk and for whom intervention will likely be successful. Jvion determines the interventions that will more effectively reduce risk and enable clinical action. And it accelerates time to value by leveraging established patient-level intelligence to drive engagement across hospitals, populations, and patients.

Preventable harm is preventable. Jvion helps healthcare systems prevent patient harm and associated costs by enabling clinical staff to focus attention, resources, and individualized interventions on patients whose outcomes can be improved. Unlike traditional AI and predictive analytic solutions that merely identify high-risk patients and cause alarm fatigue, Jvion pinpoints the impactable patients who are on a risk trajectory that can be changed and provides the patient-specific recommendations that will drive to a better outcome. The Jvion Machine™ is a combination of Eigen-based mathematics, dataset of more than 16 million patients, and software that can be quickly applied to any of 50 preventable harm vectors (such as sepsis, readmissions, falls, avoidable ER visits, and pressure injuries) without the need to create new models or to have perfect data. As the leader in prescriptive analytics for preventable harm, Jvion has proven effective in clinical settings for nearly a decade, with hospitals reporting average reductions of 30% in preventable harm incidents and avoidable cost savings of $6.3 million a year.

Initial Insights is the first tier offering of the NICUtrition® platform. It provides the ability for a hospital to track key performance measures across the neonatal intensive care unit in a retrospective or prospective report. With a one-time data extract from a hospital’s EMR, including (up to) 5 years of historical information around feeding, growth and diagnoses, our Initial Insights reports will show milestones with 'smart' growth charts and z-scores and an outcomes analysis for the feeding and growth data collected at the individual patient and unit levels. Additionally, with EMR integration, Initial Insights is provided to the hospital via real-time access for ongoing analytics.

Setting the course for better health begins at the core. As a precision-care solution provider, Astarte Medical helps neonatal care professionals improve patient outcomes in the first 1,000 days of life by leveraging the power of automated software and predictive analytics to deliver personalized nutritional care to preterm and critically-ill infants in the NICU. We are initially focused on developing digital tools designed to standardize feeding and optimize nutrition for preterm infants, particularly for those born before 34 weeks gestational age. Astarte Medical was founded in 2016, when serial entrepreneurs and venture investors partnered with a clinical scientist and other nutrition thought leaders. The company has seen 100% growth since 2019 and currently operates with $8.5M raised from top venture financing firms and 12 FTEs. NICUtrition® by Astarte Medical, is the first real-time, nutrition management support solution, designed to standardize feeding and optimize nutrition to improve outcomes specifically for preterm infants. It allows neonatology specialists, nursing professionals, dietiitans and department heads to effectively automate their health system’s feeding protocols, simplify workflows & measure compliance for more consistent quality care delivery, while leveraging predictive analytics to support data-enabled clinical decision-making for improved patient outcomes.

EMRs were built as billing support tools and evolved into medical data repositories. Nuanced data of clinical importance can be difficult to access and currently requires dedicated technical personnel with specific skills to partner with clinical staff in a laborious approach to extract specific data. In particular, flow sheets utilized in an intensive care setting, such as the NICU, are particularly challenging to access and review in a structured format.

NICUtrition Initial Insights was built to liberate NICU feeding, growth and diagnosis data from EMRs and provide robust visualizations showing patient milestones and outcomes metrics.

NICUtrition is fully integrated with the EMR, enabling real-time access of granular, clinical data and the ability to deliver high quality support within existing workflow. We have developed properietary tools to augment EHR integration, supporting overtaxed IT groups within hospitals to get up and running and deliver value and return on investment in months.