Innovation Booster Digital Health Nation

Clinical data quality is often compromised by fragmented systems, inconsistent processes, and inefficient documentation tools. This challenge aims to solve these issues by leveraging openEHR to build or adapt technologies that improve data capture in healthcare settings.  

The University Hospital Basel, a leading healthcare institution renowned for its innovative approach to clinical care and research, is the key Challenge owner. Solutions must address the hospital’s specific needs, align with its processes, and demonstrate potential to improve its data workflows. Participants will benefit from access to the hospital’s robust clinical environment, technical expertise, and real-world application opportunities. 

Their interest is in practical, scalable solutions that enhance interoperability, standardize documentation, and improve the usability of data across departments. Solutions should address key challenges such as incomplete or redundant documentation, lack of structured data, and poor user interfaces that waste valuable clinical time. Specific examples include: 

Meet the projects selected for this challenge

Anamedi is an AI-powered medical scribe that captures doctor-patient conversations in real time and converts them into structured, openEHR-compliant documentation. Designed for the Swiss German language and fully privacy-compliant, the solution reduces administrative burden, improves data quality, and lays the foundation for scalable, interoperable healthcare workflows. 

HealthCapture is a concept for a visually intuitive app including user interface for structured symptom reporting by patients, being designed to help patients describe their symptoms prior to clinical consultation – for example, using anatomical body maps for physical symptoms or validated scales for psychological concerns – and to conceptually explore how a structured symptom reporting app could be integrated in the future with a clinical system based on OpenEHR and FHIR standards and within existing clinical processes. 

Lifecare is a set of user-centered applications designed to unlock the full potential of openEHR data for clinicians. By providing intuitive tools for real-time data visualization (Lifecare Observations) and structured documentation (Lifecare Data Entry), this solution enhances clinical decision-making, improves workflow efficiency, and fosters multidisciplinary collaboration. 

Movement impairments affect over 20% of the general population. Movement@HealthCore enables the tracking of movement patterns within clinical routines in a validated and meaningful manner to support clinical decision making. 

Artificial Intelligence (AI) has transformed image-based diagnostics in pathology and radiology, yet medical calculators, clinical scoring systems and simple algorithms are still largely computed manually. The “RADICAL: Regulatory-compliant Algorithmic Diagnostics Integration for Clinical Accuracy and Logistics” project lead by DryLabz aims to change that by developing an automated, regulatory-compliant calculator engine that integrates seamlessly with patient data and clinical workflows – helping to reduce clinician workload, minimize errors and accelerate accurate decision-making.  

This integration of nutrition data into patient management systems project led by ALPINA+SANA is focused on storing nutrition data from a tracking solution in a standardized, interoperable format. This will allow seamless integration of our nutritionist app into openEHR-based hospital IT systems, enabling clinicians to access patients’ nutritional intake directly within their digital medical records. The project aims to improve workflow efficiency and support personalized nutrition care. 

What Innovation Booster support is available?