Industrial Partner

Ada Health GmbH
HiGHmed Blended Learning and Hands-on Lab

Artificial Intelligence (AI)-based diagnostic decision support systems (DDSSs) have reached new advances to competently support physicians and other medical professionals with complex health and diagnosis related questions, and to provide transparent and accessible health information and guidance to patients. These advances in DDSSs represent some of the most promising scientific developments within medical information technology today.

Leveraging these scientific insights, Ada Health GmbH develops AI-based medical applications aiming to implement current state-of-the-art technology into practice and to continuously advance it.

Ada’s interdisciplinary team consists of doctors, scientists, and engineers who collectively work on making medical knowledge accessible at any time and any place to individuals and, at the same time, making modern AI-based technology usable for doctors and medical professionals.

Ada’s AI-based products combine the latest reasoning technologies with expert medical knowledge curated by Ada’s in-house team as well as external physicians over the past nine years. Ada’s ontology covers a wide range of medical knowledge.

A specific focus is placed on transparency: Results are graphically enhanced so that underlying probabilities are explained in an intuitive manner, enabling the user to make an informed decision. Contribution lines illustrate the statistical relation between the presence of a symptom and the probability for a certain disease. This way the reasons for the application deciding in favor of a certain disease remain traceable at any time throughout the process.

While the user experience of the consumer-facing Ada app has been specifically tailored to patients, Ada’s prototype for a professional tool is designed to meet the needs of doctors in clinical practice. The professional prototype supports doctors with clinical decision-making and increases the accuracy of the diagnostic process. Also, especially in combination with waiting room applications, it can provide a more efficient care navigation to help create faster access and remove unnecessary costs.

Aside from direct clinical usage, Ada’s professional prototype is aimed at supporting present-day university-level medical education. It can assist in teaching knowledge about more complex conditions and rare, clinically relevant symptom constellations. Moreover, students will learn to use technology for decision support in an informed manner. By educating the doctors of today and tomorrow about these tools, the risks of innapropriate usage of DDSSs can be significantly reduced and, at the same time, doctors are encouraged to play an important role in helping to understand and contribute to modern AI-based technology in clinical care.

In co-operation with the Department of Medical Informatics of the University Medical Center Göttingen, Ada will conceptualize and implement a dedicated module on decision support in medical care. Within this module, a demo version of Ada’s professional-facing DDSS will be employed.

Members of the project team at Ada Health (alph.): Dr. Martin C. Hirsch, Henry Hoffmann, Lena Stoll.