Hospital-Acquired Conditions & Infections

Preventing Incidents of Sepsis, Falls and other Infections with Clinical AI

Hospital-acquired conditions (HACs) impact nearly one in ten acute care patients, contributing to about $60B in avoidable medical expenses annually. ¹ The Jvion CORE™ can help identify patients at risk for these preventable harm incidents before symptoms present and prioritize recommendations to change the patient’s risk trajectory, improve quality scores and enable true accountable care.

The CORE helps:

  • Predict which patients are at risk of developing pressure injuries, falls, sepsis and other healthcare-associated infections (HAIs)
  • Identify the appropriate care strategies to prevent HACs based on a patient’s unique clinical, socioeconomic and behavioral circumstances
  • Apply community-based recommendations to prevent sepsis readmissions post-discharge
  • Meet provider goals for infection prevention and quality scores

Key products for Hospital-Acquired Conditions & Infections :

  • C. diff & Community Acquired
  • Falls
  • Pressure Injury
  • Sepsis

1. Agency for Healthcare Research and Quality, “AHRQ National Scorecard on Hospital-Acquired Conditions Updated Baseline Rates and Preliminary Results 2014–2017.”, 2109. Available:

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Featured Product

Identify hidden Sepsis risk before it’s too late

Sepsis causes one in five deaths globally, and is the leading cause of death in hospitals. An overactive immune response to infection, sepsis escalates quickly and is difficult to detect early in the critical window when treatment is most effective. The symptoms, which include fever, difficulty breathing, elevated heart rate and chills, are often mistaken for other conditions. However, the Jvion CORE identifies patients likely to develop sepsis before they even present with symptoms, buying clinicians time to save lives.

The CORE Sepsis Product analyzes up to 4,500 risk factors per individual to identify patients at risk of sepsis before they enter the hospital, during their stay in acute care settings and after they’re discharged to prevent readmission. Jvion’s clinical AI also recommends the clinical actions most likely to succeed. By accounting for non-clinical factors such as transportation access, CORE can alert clinicians to unforeseen barriers to care and adjust their care plans accordingly.

Who We Help

Patient Impact Story

Enabling Early Intervention for a Septic Cancer Patient

An 85-year-old cancer patient who lives alone was identified as being at risk for 30-day mortality by the Jvion CORE. Her physician received an alert and immediately engaged her team to contact the patient and bring her in for an exam. The CORE also identified that transportation may be a challenge for the patient, so they arranged for her friend to give her a ride.

Despite no complaints or outward signs of sepsis, the clinical team ordered blood work. Later that same day, blood work revealed signs of sepsis. Around the same time, the patient’s friend contacted the clinic because the patient had fainted. She was immediately sent to the ED where she was diagnosed with sepsis and admitted to the hospital.

Thanks to Jvion’s clinical AI insights, this patient’s sepsis was caught early and the infection’s progression was stopped.

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