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Predictheon

Predictheon develops predictive algorithms that integrate with clinical monitors, infusion pumps, and electronic health records to provide real-time forecasts of patient outcomes during anesthesia. By anticipating adverse events 3-5 minutes in advance, their technology enhances patient safety and improves operational efficiency in healthcare settings.

Barcelona, SpainFounded 201910500+ followers
Updated 4 months ago

Funding

$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.

Funding rounds are not available yet.

Founders

Product

Problem

During anesthesia, clinicians face challenges in anticipating sudden adverse events, which can compromise patient safety and lead to inefficient resource utilization. Current monitoring systems often lack the ability to provide timely, predictive insights into a patient's physiological trajectory.

Solution

Predictheon develops and provides predictive decision support tools for clinicians in the perioperative setting. Their core product, Predictheon PDA, uses advanced mathematical models and machine learning algorithms to analyze real-time data from clinical monitors, infusion pumps, and electronic health records. By forecasting clinically relevant outcomes 3-5 minutes in advance, Predictheon PDA enables proactive interventions to prevent adverse events, improve patient safety, and optimize hospital efficiency. The algorithms are embedded in software that can be implemented in different platforms, including clinical monitors, infusion pumps, and electronic health records.

Target Audience

The primary users are anesthesiologists and other clinicians involved in perioperative care, as well as hospital administrators seeking to improve patient safety and operational efficiency.

Features

  • Real-time prediction of clinically relevant outcomes 3-5 minutes in advance
  • Integration with clinical monitors, infusion pumps, and electronic health records
  • Algorithms based on mathematical models and artificial intelligence
  • Continuous patient information on the effects of anesthetic medication
  • Personalized patient information to clinicians about the effect of anesthetics
This profile is AI-generated and may contain inaccuracies.