• Predicting Health

    Revolutionize your patient care


    Increase patient safety, relieve hospital staff and save costs with AI-supported risk predictions

    Contact us now
    Notebook mit futuristischem Bild über den menschlichen Körper | KI-gestützte Gesundheitsprognosen durch Predicting Health
  • Predicting Health

    Revolutionize your patient care


    Increase patient safety, relieve hospital staff and save costs with AI-supported risk predictions
    Contact us now
    KI-gestützte Prognose für den klinischen Bereich - Predicting Health - Mediziner vor futuristischer Animation

Forward-looking risk prediction

Developed from clinical practice

PRT | the product

Revolutionize patient care with the Personalized Risk Tool from Predicting Health

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Our partners

Our partners form the backbone of Predicting Health’s success by driving innovative healthcare solutions.

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About

Find out who is behind Predicting Health and this pioneering project

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Medical risk assessment

Predicting Health stands for a revolutionary development in medical risk assessment, realized through close and targeted collaboration with doctors and nurses.

Our approach combines advanced machine learning technology with a deep understanding of clinical processes to enable efficient, accurate and automated risk stratification – without the need for additional data collection.

  • Arzt bedient Tablet

The annual costs attributable to avoidable complications in the EU amount to EUR 47.5 billion per year, or 2.5% of total healthcare expenditure

Personalised Risk Tool

The Personalized Risk Tool increases patient safety and reduces the workload of hospital staff


The Personalized Risk Tool analyses patterns in existing patient data fully automatically and thus generates individualized risk profiles without the need for manual data entry. The focus here is on identifying avoidable complications.

Screenshot Predicting Health Risk Tool

Specially developed risk models for clinical requirements

Innovative algorithms for precise predictions

Our algorithms, shaped by the practical expertise and requirements of medical staff, use state-of-the-art machine learning techniques to generate accurate risk predictions from existing patient records.

These models, shaped and tested by use in leading healthcare facilities, achieve outstanding performance, which is reflected in their impressive accuracy (AUROC value of ~0.9).

This means that our algorithms are clearly superior to conventional scoring models in terms of their informative value.

Strategic advantages, shaped by clinical experience

Icon efficiency

Our solutions are designed to integrate seamlessly into the daily routines of healthcare professionals, freeing up valuable time for patient care.

Icon precision

Each model responds dynamically to input from hospital staff, resulting in greater accuracy and relevance.

Icon decision

Our tools strengthen clinical decision-making by providing a contextualized view of the patient’s history.

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Resource optimization

By implementing our solutions, resources are used more effectively, leading to a reduction in costs and an improvement in patient care.

Innovation in healthcare | practical and scientifically sound

The development of our solutions is the result of close cooperation with doctors and nursing staff.

This practical approach ensures that our tools are not only technologically advanced, but also highly relevant and effective in everyday clinical practice.

Our algorithms have been trained on millions of data sets and validated in partnership with leading medical institutions to ensure superior accuracy and clinical relevance.

Revolutionize patient care in your hospital with Predicting Health.

Contact us today to find out more about our customized solutions.

News

Predicting Health and SER Group @DMEA 2024

Join Predicting Health at DMEA 2024 in Berlin to discover groundbreaking healthcare solutions through AI and unstructured data analysis, enhancing predictive accuracy for personalized patient care.

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Screenshot Predicting Health

Hello and welcome to our new website!

Predicting Health is set to take off in 2024…

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Current publications

Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study.

Jauk, S., Kramer, D., Veeranki, SPK., Siml-Fraissler A, Lenz-Waldbauer A, Tax E, Leodolter W, Gugatschka M | Jauk, S., Kramer, D., Veeranki, SPK., Siml-Fraissler A, Lenz-Waldbauer A, Tax E, Leodolter W, Gugatschka M
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A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation.

Polat Erdeniz, S., Schrempf, M., Kramer, D., Felfernig, A. | September 2022
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