General Medicine services
TEF-Health testing, validation and compliance services for General Medicine.
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Patient-to-Pipeline: Regulatory-Compliant Clinical Data Collection
Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)
**Who Can Benefit:** - MedTech & AI Companies: For obtaining high-quality, ethically sourced clinical datasets to fuel algorithm development without navigating hospital bureaucracy. - Clinical Researchers: For systematic, regulation-compliant data collection with full documentation and audit trail. **Key Features:** - End-to-end management of ethical approval processes (ethics committee submission, informed consent design) - Prospective data collection within Universitätsklinikum Erlangen clinical departments - Expert clinical annotation and ground truth labeling by domain specialists - Full GDPR compliance with pseudonymization/anonymization pipelines - Structured data output compatible with downstream AI training and analysis workflows **Possible Applications:** - Wearable Sensor Studies (e.g. Cardiology): Prospective collection of continuous ECG, PPG, or blood pressure data from cardiac patients for digital biomarker development and remote monitoring algorithm training. - Motion & Gait Analysis (Biomechanics): Systematic acquisition of IMU, force plate, and motion capture data in clinical and sports lab settings for movement disorder assessment, rehabilitation tracking, or athletic performance evaluation. - Neurological Signal Acquisition: Collection of EEG, EMG, or tremor sensor data from neurological patient cohorts to support AI-based diagnostic or therapy monitoring tools. - Real-World Evidence Datasets: Longitudinal data collection from ambulatory patients in everyday settings, enabling the development of algorithms that generalize beyond controlled lab environments. - Athletic Performance & Injury Prevention: Structured data gathering during sports science testing protocols to build datasets for injury risk prediction, load monitoring, and return-to-play decision support. - Multi-Modal Clinical Datasets: Combined collection of sensor data, imaging, lab values, and patient-reported outcomes to enable holistic, multi-modal AI model development. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).
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Robot Reality Check: Clinical Test Environments for Social Robotics
Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev (Fraunhofer)
**Who Can Benefit:** - Robotics Companies: For testing and validating social robots and speech-enabled systems in realistic clinical environments before market entry. - AI & NLP Developers: For evaluating natural language interfaces on physical robotic platforms in real healthcare workflows. - Healthcare Institutions: For assessing how robotic systems perform in their specific clinical contexts before committing to procurement. - Research Groups: For conducting HRI studies in controlled yet realistic hospital settings with access to clinical staff and infrastructure. **Equipment / Robotics Platforms:** - SoftBank Robotics Pepper humanoid social robot designed for increased engagement with the patient via expressive upper body mechanics. - Temi mobile service robot designed for telepresence, guidance, and information delivery as well as conversational interactions. **Key Features:** - Access to a dedicated Real-Lab (Reallabor) providing hardware and clinical test environments for evaluating robotic systems in healthcare settings - Testing of NLP/speech-enabled robots in realistic clinical workflows with actual healthcare personnel - Evaluation infrastructure for both controlled laboratory experiments and in-situ ward-level assessments - Multi-disciplinary support combining robotics engineering, clinical expertise, and social science perspectives **Possible Applications:** - Ward Assistant Robot Testing: Evaluating mobile robots designed to support nursing staff with logistics, information delivery, or patient guidance in realistic hospital corridors and wards. - Speech Interface Validation: Testing natural language dialogue systems on robotic platforms in noisy, dynamic clinical environments to assess robustness and usability. - Staff Relief Assessment: Quantifying the cognitive, physical, and time-based relief potential of robotic systems for medical personnel through structured pilot studies. - Patient Interaction Evaluation: Assessing how patients (across age groups, health conditions, and tech literacy) respond to and interact with social robots in clinical settings. - Workflow Integration Testing: Evaluating how robotic systems integrate into existing clinical workflows without disruption, including edge cases and failure scenarios. - Multi-Robot Coordination: Testing multiple robotic systems operating simultaneously in shared clinical spaces. **Who We Are:** The **Fraunhofer Insitute for Integrated Circuits (Fraunhofer IIS)** has established the **"Center for Sensor Technology and Digital Medicine" (CEMDIS)** in cooperation with the Universitätsklinikum Erlangen and the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) to enhance modern healthcare through **innovative sensor technology** and **digital solutions**. This center focuses on integrating **innovative medical technologies** such as **wearables** and **robotic systems** to support **medical diagnostics**, **patient monitoring** and **evaluating patient-specific therapies** by providing digital health solutions für real-life healthcare. Located at the Universitätsklinikum Erlangen, it offers unique infrastructures for the **development**, **integration**, and **validation** of novel health technologies, providing companies opportunities for **technological advancements**. For more information, visit the [Fraunhofer IIS website](https://www.iis.fraunhofer.de/de/ff/sse/health/zentrum-sensorik-medizin.html).
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