pRxcision is an artificial intelligence platform that continuously monitors patient data from electronic medical records to support infectious disease treatment decisions. The platform integrates evolving clinical and microbiological information to provide clinicians with real-time decision support regarding antibiotic selection, dosage, and timing. This targeted approach aims to optimize antimicrobial therapy and mitigate the growing threat of antimicrobial resistance.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinicians often struggle to synthesize vast amounts of real-time clinical and microbiological data from electronic medical records (EMRs) to make informed decisions about antibiotic prescriptions for critical infections. This can lead to suboptimal antimicrobial use, contributing to antibiotic resistance and potentially worsening patient outcomes.
Solution
The startup offers an AI-powered platform that continuously analyzes EMR data, integrating clinical information with microbiological results to provide personalized treatment recommendations for patients with critical infections. By leveraging real-time data analysis, the platform enhances antibiotic decision support, enabling healthcare providers to optimize antimicrobial selection and dosing. This leads to more effective treatment strategies, reduced antibiotic resistance, and improved patient outcomes. The platform aims to streamline the decision-making process, ensuring that patients receive the most appropriate and timely antibiotic therapy.
Target Audience
The primary target audience includes hospitals, healthcare systems, infectious disease specialists, and antimicrobial stewardship programs seeking to improve antibiotic prescribing practices and patient outcomes.
Features
- Continuous monitoring of electronic medical records for real-time data integration
- AI-driven analysis of clinical and microbiological data
- Personalized antibiotic treatment recommendations based on patient-specific information
- Decision support tools to optimize antimicrobial selection and dosing
- Integration with existing hospital information systems and EMRs
- Real-time alerts for potential antibiotic resistance patterns
- Customizable dashboards for tracking antibiotic usage and patient outcomes