Digital health is the use of information and communications technology, sensors, data, and artificial intelligence to deliver, manage, and improve healthcare and wellbeing. It spans telemedicine, remote patient monitoring, electronic health records, wearable biosensors, clinical decision support, and AI-assisted diagnostics. The field aims to widen access, personalise care, and improve outcomes while raising acute requirements for patient privacy, data security, and regulatory oversight.
- Digital Health applies technology, sensors, data, and Artificial Intelligence to deliver and improve healthcare and wellbeing.
- It encompasses Telemedicine, Clinical Decision Support, and AI-assisted Medical Imaging, among other modalities.
- The field depends on Data at scale while imposing strict Privacy and Security requirements.
Overview
- Digital health reframes care around connected devices, electronic records, and data-driven decision-making, shifting some delivery from the clinic to the home and the cloud.
- AI augments clinicians by triaging images, surfacing decision support at the point of care, and accelerating discovery, while telemedicine extends reach to remote and underserved populations.
- Because the data is sensitive and the decisions are consequential, the field is governed by privacy law, medical-device regulation, and clinical-evidence standards.
Key aspects
- Telehealth: remote consultation and monitoring that decouple care from physical location.
- Electronic records: interoperable patient data supporting continuity and analytics.
- Wearables and biosensors: continuous physiological signals feeding monitoring and prevention.
- AI diagnostics and decision support: models that assist interpretation and triage at the point of care.
- Governance: privacy, security, and regulatory approval as preconditions for deployment.
Applications
- Remote patient monitoring and chronic-disease management.
- AI-assisted radiology, pathology, and other medical imaging.
- Clinical decision support embedded in care workflows.
- Accelerated drug discovery and research using health data and AI.