We make the world a safer place by leveraging data to prevent infections.
The silent pandemic of Healthcare-Associated Infections (HAIs) and deaths from Antimicrobial Resistance (AMR) is a critical and growing challenge worldwide. Our solution automatically tracks, analyzes, and predicts infection based on contact data and AI at scale to combat the silent pandemic.
Inefficiencies in Current Infection Control Practices
Today, there is no solution to automatically track, analyze, and predict infection based on contact data at scale and combat the silent pandemic.
Manual Contact Tracing
Current contact tracing methods are manual, slow, and lack the efficiency needed for timely infection control.
Generic Data Analysis
Reliance on broad data trends fails to provide specific insights for individual patient care, leading to suboptimal infection management.
Lack of Predictive Analytics
Without predictive analytics, healthcare systems cannot proactively manage infections, resulting in reactive measures that are delayed and less effective.
The Escalating Challenge of AMR and HAIs
Global Health Crisis
Deaths caused by AMR
The economic burden of infections is expected to reach $3.4 trillion by 2050
The silent pandemic of HAI and deaths from AMR is a critical and growing challenge worldwide, not confined to any single region.
In 2019, North America and EU reported thousands of deaths due to HAIs and AMR, underscoring the urgent need for a global solution.
Current Healthcare System Limitations
Struggles to effectively manage infections
Resulting in increased mortality rates
Prolonged hospital stays
Significant economic costs
The lack of proactive measures and reliance on outdated methods exacerbate the situation
Introducing PrecogsAI
Transforming Patient Care with Predictive Analytics
Jane, 58
Admitted to the hospital for a routine knee surgery. She is in good health but suffers from diabetes and hypertension.
PrecogsAI Predict: Risk Assessment
PrecogsAI's real-time risk assessment identified Jane at risk of postoperative infection, which would slow her recovery, lead to an extended stay, additional care needs, and cost.
PrecogsAI Act: Proactive Measures
The system provides individualised care insights, prompting healthcare staff to implement targeted infection control protocols, additional testing and preventive therapy. These curated actions are taking her medical history into account.
Jane's care team successfully prevents an HAI, efficiently ensures a swift recovery and timely discharge. PrecogsAI helped the team to minimise the risk for Jane, the length of stay, and helped to save healthcare costs.
How does it work?
PrecogsAI enables doctors and nurses to identify the risk of infection early - in some cases before the patient is symptomatic - to help them save lives.
Charts contact events, providing a comprehensive overview of contacts between staff and patients
Determines the risk from every contact event, considering patient personal risk level
Scores events and flags risks based on AI-based simulation for potential spreading scenarios
Analyzes the data and identifies events relevant in the context of spread of infectious diseases
Combines contact data with our infectious disease knowledge graph to make the system well grounded
Triggers warnings and recommends specific actions for staff to act upon
Empowering Healthcare with Actionable Insights
Reduced Infection Rates
By accurately predicting and preventing HAIs, PrecogsAI significantly lowers the incidence of secondary infections, enhancing patient safety.
Optimized Antibiotic Use
The platform's insights lead to more judicious use of antibiotics, contributing to the fight against AMR and reducing healthcare costs.
Improved Patient Outcomes
John's case exemplifies how PrecogsAI's predictive capabilities can lead to better clinical outcomes and improved patient experiences.
Economic Benefits
Hospitals benefit from reduced length of stay and antibiotic prescriptions, leading to better resource utilization and cost savings.
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Join our mission to save millions of lives by preventing infections.