Jvion helps healthcare systems prevent harm and lower costs, using prescriptive analytics for preventable harm that identifies specific patients on a risk trajectory, determines if that trajectory can be changed, and if so, recommends patient-specific interventions.
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.
Sepsis: Avoidable Health Regression
By identifying this cancer patient as at risk of mortality, her physician immediately brought her in for an office visit. Despite no signs or complaints, bloodwork revealed that the patient was septic. She was rushed to the hospital where she was treated and released. Continue
HAC: Pressure Injuries
By identifying this patient who was on a trajectory toward high-risk, The Jvion machine directed nurses to apply primary prevention efforts that stopped the development of a pressure injury. Continue
DVT: Progression Prevention
By identifying the socioeconomic drivers for this 54-year old man’s readmission and the best interventions based on his individualized needs, the care team stopped the progression of the man’s deep vein thrombosis to a pulmonary embolism. Continue
Watch and learn how hospitals are saving millions and cutting resource demands in half.
The Jvion Machine helps healthcare systems prevent harm and lower costs, using prescriptive analytics for preventable harm that identifies specific patients on a risk trajectory, determines if that trajectory can be changed, and if so, recommends patient-specific interventions.
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.
The Jvion Machine is a combination of Eigen-based mathematics, a dataset of more than 16 million patients, and software that can be quickly applied to 50+ preventable harm vectors without the need to create new models or to have perfect data.
Helping hospitals reduce target illnesses, prevent patient deterioration, reduce the cost of care, and improve community health efforts.