AI Decision Support
in the software doctors already use
We develop privacy-preserving & explainable AI to make healthcare systems smarter.
Taking the guesswork out of being a doctor
Doctors are already overloaded by information from EHR systems, our explainable AI acts as a filter by only surfacing information that is relevant to the patient’s outcome, making it easier for you and your team to make informed decisions.
Not Another Black Box
Understanding what drives the predictions doesn’t just create trust, it allows doctors to see the potential impact of decisions before they make them.
While drafting an initial treatment plan, see what will work, and understand what didn’t work for other patients. We make the AI's predictions transparent and understandable, by providing insights into the factors that influenced those predictions, to help make more informed and effective decisions based on those predictions. Our AI can extract insights, trends, and patterns from all the patients that have come before and show these to you.
Beyond Anonimisation
We implement advanced privacy protection techniques such as federated learning, differential privacy, and synthetic data that provide strong protections for the privacy of data used in machine learning. Federated learning keeps data distributed and secure, while differential privacy adds noise to data to prevent re-identification of individuals. Together, these techniques offer much stronger protections than anonymization alone, without destroying information in the process.
Usecases
Predict the outcome of potential treatments
Our AI can help improve healthcare by predicting the outcome of different treatment options and allowing the doctor to choose the best one for each patient.
In the case of rehabilitation, we focus on what intensity of care is most likely to result in the quickest recovery, helping patients return home as soon as possible.
This is achieved by collecting data on the outcomes of treatments, training machine learning algorithms, and using the AI to provide personalized recommendations. This leads to more informed and effective treatment decisions, resulting in better patient outcomes.
Forecast and optimize the capacity of your facility
Our AI technology can revolutionize hospital patient capacity management through forecasting demand, optimizing bed allocation, and identifying trends and patterns. The AI analyzes past healthcare data to forecast future demand, optimizes bed allocation based on patient needs, and identifies patterns in healthcare usage to improve service efficiency. The implementation of AI in hospitals leads to better planning for future demand and ensures adequate capacity.
Learn best practices from other doctors
Explainable AI provides valuable insights into patient populations by analyzing large datasets, identifying patterns and trends, and revealing the factors that influence AI predictions and decisions. It also learns how each healthcare institution treats its patients differently and its impact on patient outcomes. By explaining what the model has learned, it can highlight opportunities for institutions to learn from each other and improve their treatment methods to benefit patients.
Embed AI in your routine clinical practice’s existing workflows
We embed our AI directly into a doctor’s workflow by partnering with leading medical software providers. When the MDO starts doctors will have all the insights they need to foresee patients’ needs.
Our AI-powered tools integrate into electronic medical record systems so that doctors can see what information they should pay attention to. Remember that one nurse’s note from two months ago that could be vital to understanding why the current treatment plan is not working? Now the AI will present it to you, and show why it is important. And all this in the tools you are already familiar with.
We bring data science to life for:
Get in touch.
We help teams of experts to optimize patient treatment using data science. From biotech to pharmaceutical and healthcare companies, you bring the domain expertise, we provide the analytics, statistics, and engineering to make your R&D data-driven.
Are you interested in teaming up?