At Gnomon Informatics, Artificial Intelligence is becoming an integral part of how we design the next generation of digital health solutions. Our AI footprint spans the entire healthcare data journey — from helping patients better understand and manage their health, to supporting clinicians in their daily practice, transforming complex health data into actionable insights, and enabling more intelligent and efficient organisational workflows.
Building on our experience in digital health, interoperability, remote patient monitoring and patient-centred care, we focus on AI solutions that address real-world needs and can be meaningfully integrated into existing healthcare ecosystems. Our current AI activities are structured around four key areas: Patient-Facing AI Services, Doctor-Facing Clinical AI, Digital Biomarkers & Predictive AI, and Enterprise AI & Workflow Automation.
Patient-Facing AI Services
- Educational Health Assistant Provides evidence-based medical information to patients through natural conversations. We help users better understand their conditions, treatments, and care pathways in an accessible and safe way, currently focusing on heart failure and oncology.
- Patient Health Data Assistant Allows patients to query, retrieve, and manage their personal health records using natural language. This simplifies access to complex health information and improves patient engagement with their care journey.
- Clinical Document Understanding for Patients Automatically processes and structures clinical documents, including lab results, discharge summaries, and medical reports, into the patient profile. This enables patients to securely store, access, and manage all their health information in a single place.
Doctor-Facing Clinical AI
- Doctor Examination Assistant Supports clinicians during patient encounters by surfacing relevant patient history, clinical data, and contextual insights in real time. Through conversational interfaces, healthcare professionals can access information, perform administrative tasks, and manage patients more efficiently, allowing them to focus on care delivery.
- AI Clinical Note Generation Automatically generates structured clinical notes from consultations and clinical interactions. This significantly reduces documentation burden, improves consistency, and frees up valuable clinician time.
- Medical Document Intelligence & Data Structuring Processes unstructured clinical content such as reports, referrals, laboratory results, and medical correspondence, extracting key information and converting it into structured, standards-compliant healthcare data. This enables seamless integration into clinical systems, improves data quality, and creates AI-ready patient records.
Digital Biomarkers & Predictive AI
- Heart Failure Risk Stratification Uses longitudinal clinical, physiological, and behavioral data to predict deterioration risk in patients with chronic heart failure. The solution supports both early identification of patients at risk of hospitalization and the safe acceleration of hospital discharge decisions for low-risk patients, improving outcomes while reducing healthcare costs.
- Wearable & Physiological Data Processing Platform Enables automated collection, harmonization, and preprocessing of data from wearables, ECG devices, and other physiological monitoring sources. The platform transforms raw signals into high-quality, analysis-ready datasets that power predictive models, digital biomarkers, and proactive patient monitoring.
Enterprise AI & Workflow Automation
- Enterprise Knowledge Assistant Provides employees with conversational access to internal knowledge, documentation, processes, and organizational information. This reduces time spent searching for information and improves decision-making across teams.
- AI-Powered Workflow Automation Automates repetitive business and operational processes using custom AI agents and intelligent workflows. This increases productivity, reduces manual effort, and enables teams to focus on higher-value activities.
Together, these activities reflect Gnomon’s broader vision for AI: not as a standalone technology, but as an intelligence layer embedded across the digital health ecosystem. By combining AI with interoperable health data, clinical workflows, remote monitoring and patient-centred digital services, we aim to turn data into meaningful support for patients, healthcare professionals and organisations.
As our AI capabilities continue to evolve, our focus remains clear: developing practical, trustworthy and scalable solutions that reduce complexity, support better-informed decisions and ultimately contribute to more proactive, personalised and efficient healthcare.