Predictheon
Predictheon specializes in predictive monitoring solutions that accurately predict and prevent adverse events in clinical settings, improving health outcomes, safety, and value for stakeholders. Their algorithms are embedded in software compatible with various platforms, including monitors, infusion pumps, and electronic health records, utilizing advanced data analysis, population analysis, predictive analytics, and AI methods.
Industries
Nr. of Employees
small (1-50)
Predictheon
Hospital Clínic de Barcelona, Carrer de Villarroel, 170, 08036 Barcelona
Products
Sedation predictive pack (anesthetic effect monitoring)
Software pack that provides continuous patient-specific information on the effects of sedative/anesthetic medication during procedures.
General anesthesia predictive pack
Software pack that personalizes predictions of patient response to general anesthetics to help minimize patient risk during procedures.
Predictive Decision Assistant (PDA) monitor
A monitor platform that displays continuous short-term predictions of clinically relevant outcomes and connects to infusion pumps and other monitoring equipment.
Perioperative transfusion pack
Decision-support tool that predicts hemoglobin concentration and expected results of PRBC transfusion to assist perioperative transfusion decisions.
EEG-based brain monitoring and cognitive recovery prediction
Tools to analyze EEG signals and generate predictions about brain state, recovery time and cognitive function trajectory to inform readiness-for-discharge decisions.
Sedation predictive pack (anesthetic effect monitoring)
Software pack that provides continuous patient-specific information on the effects of sedative/anesthetic medication during procedures.
General anesthesia predictive pack
Software pack that personalizes predictions of patient response to general anesthetics to help minimize patient risk during procedures.
Predictive Decision Assistant (PDA) monitor
A monitor platform that displays continuous short-term predictions of clinically relevant outcomes and connects to infusion pumps and other monitoring equipment.
Perioperative transfusion pack
Decision-support tool that predicts hemoglobin concentration and expected results of PRBC transfusion to assist perioperative transfusion decisions.
EEG-based brain monitoring and cognitive recovery prediction
Tools to analyze EEG signals and generate predictions about brain state, recovery time and cognitive function trajectory to inform readiness-for-discharge decisions.
Services
Development of mathematical-model-based predictive algorithms and embedding into software for deployment on monitors, pumps and EHRs.
Collection and curation of high-resolution clinical data to support model training and validation.
Prospective testing of algorithms and validation activities aligned with regulatory considerations for clinical deployment.
Integration of predictive software with infusion pumps, vital-sign monitors, brain activity monitors and EHR systems to enable combined-signal predictions.
Software prototypes and simulated scenario demonstrations for iteration, clinician feedback and preclinical evaluation.
Development of mathematical-model-based predictive algorithms and embedding into software for deployment on monitors, pumps and EHRs.
Collection and curation of high-resolution clinical data to support model training and validation.
Prospective testing of algorithms and validation activities aligned with regulatory considerations for clinical deployment.
Integration of predictive software with infusion pumps, vital-sign monitors, brain activity monitors and EHR systems to enable combined-signal predictions.
Software prototypes and simulated scenario demonstrations for iteration, clinician feedback and preclinical evaluation.
Expertise Areas
- Predictive analytics and modeling
- Perioperative monitoring and anesthesiology
- Clinical study design and prospective validation
- Real-time signal processing and data engineering
Key Technologies
- Nonlinear mixed-effects modeling
- Population analysis
- Machine learning / artificial intelligence
- Real-time physiological signal processing
News & Updates
Predictheon solutions, generated using advanced data analysis approaches, represents a significant step forward to increasing patient safety in the perioperative setting.
Dr. Steven L. Shafer, Professor of Anesthesia and Perioperative Care at Stanford University School of Medicine, praises Predictheon solutions for their contribution to patient safety.
Predictheon solutions, generated using advanced data analysis approaches, represents a significant step forward to increasing patient safety in the perioperative setting.
Dr. Steven L. Shafer, Professor of Anesthesia and Perioperative Care at Stanford University School of Medicine, praises Predictheon solutions for their contribution to patient safety.