Clinical Decision Support Systems
We develop systems and AI agents that analyze medical data and prepare evidence-based recommendations for healthcare providers: the decision stays with the clinician.
Digital Health
Software for biomedical research and clinical practice, through to MDR certification
Technology for clinical research and practice
Our Digital Health solutions use state-of-the-art technology to improve patient outcomes, streamline clinical workflows, and accelerate biomedical research. Increasingly these solutions are agentic: AI agents read reports and clinical data, prepare summaries and propose options with cited sources; assessment and decisions stay with the clinician. We know the regulatory pathway first-hand: we managed the Class I certification of diagnostic support software under MDR Regulation 2017/745.
Medical Imaging Analysis
Our AI-powered solutions help radiologists and clinicians interpret medical images more accurately and efficiently.
Electronic Health Records
We create secure, interoperable EHR systems that improve care coordination and patient engagement.
Biomedical Data Analysis
We apply advanced analytics and machine learning to extract meaningful insights from complex biomedical datasets.
Remote Patient Monitoring
Our IoT-enabled solutions allow healthcare providers to monitor patients remotely, improving care for chronic conditions.
Clinical Trial Management
We develop systems that streamline the management of clinical trials, from participant recruitment to data collection and analysis.
Healthcare Interoperability
Our solutions enable seamless data exchange between different healthcare systems using standards like HL7 FHIR and DICOM.
Medical Software Certification
Technical support for European certification (CE/MDR) of software as a medical device: technical documentation, ISO 14971 risk management, IEC 62304 validation.
Our Digital Health Expertise
At noze, we combine deep domain knowledge in healthcare and biomedical research with technical expertise to develop innovative Digital Health solutions. Our team includes software engineers, data scientists, and healthcare professionals who work together to address complex challenges in the healthcare industry.
Our Digital Health services include:
- Development of medical software compliant with regulatory standards (CE, MDR)
- Design and implementation of healthcare data warehouses and analytics platforms
- Integration of AI, machine learning and human-approved AI agents into clinical workflows
- Development of mobile health applications for patients and healthcare providers
- Implementation of telemedicine and virtual care solutions
- Creation of research tools for biomedical scientists
- Healthcare cybersecurity and privacy solutions
We build Digital Health solutions that are technologically advanced, easy to use, secure, and compliant with healthcare regulations and standards.
Frequently Asked Questions
How do you ensure healthcare data security and privacy?
We implement rigorous security measures compliant with GDPR and MDR standards, including: end-to-end encryption, role-based access controls, audit trails, and secure backups. We collaborate with healthcare privacy experts to align with regulatory requirements.
What healthcare standards do you support?
We support all major healthcare industry standards, including: HL7 FHIR for data interoperability, DICOM for medical imaging, ICD-10 for diagnosis coding, and SNOMED CT for clinical terminology. We stay continuously updated on emerging standards.
How do you integrate AI into Digital Health solutions?
We responsibly integrate AI to enhance various aspects of healthcare: predictive analytics for early risk identification, computer vision for medical image interpretation, NLP for clinical documentation processing, and evidence-based clinical decision support systems. In agentic solutions, AI agents prepare proposals and summaries with cited sources: the clinical decision always stays with the physician.
What are typical implementation timelines?
Timelines vary based on solution complexity. A basic system may take 3-4 months, while more complex solutions can require 6-12 months. We adopt a modular approach that allows for incremental feature releases, enabling rapid time-to-value.
Do you provide support for medical device certification?
Yes, we have hands-on experience in technical support for European certification of software as a medical device (SaMD) under MDR Regulation 2017/745. We work alongside the manufacturer on technical documentation preparation in accordance with MDR Annex II, risk management according to ISO 14971, software lifecycle validation according to IEC 62304, and implementation of quality management systems compliant with ISO 13485. We have managed the Class I certification pathway for diagnostic support software.
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