Digital Healthcare
Digital healthcare builds the infrastructure to deliver computational and clinical insights directly to patient care. We integrate electronic health record (EHR) analytics with remote monitoring data and clinical decision support. This digital transformation optimizes clinical workflows and improves patient outcomes.
What this area is.
Digital healthcare is where our computational work reaches patients. We build data pipelines and AI models that connect electronic health records, wearables and remote monitoring into decision-support that clinicians can act on.
From telemedicine and digital therapeutics to population-health monitoring, the goal is the same: continuous, personalized, evidence-driven care — informed by genomics and multi-omics.
Tools & technologies
What we do.
Core methods we apply in digital healthcare.
Telemedicine & virtual care
Remote consultation and virtual-care workflows with structured data capture.
Remote patient monitoring
Streaming vitals and wearable signals into actionable dashboards.
EHR & healthcare analytics
Turning electronic health records into cohort-scale, privacy-aware insight.
Digital therapeutics
Software-driven interventions with measurable clinical outcomes.
Clinical decision support
Guideline- and model-driven recommendations at the point of care.
Healthcare AI
Foundation models and ML for triage, risk and personalization.
From data to insight.
Capture
EHR · wearables · devices
Integrate
harmonise & secure
Analyse
healthcare analytics
Predict
risk & outcomes
Decide
clinical decision support
Deliver
virtual & personalized care
Publication-grade figures.
Where we go deep.
Population health monitoring
Surveillance and early-warning across communities.
Wearables & remote monitoring
Continuous, real-world physiological data.
Personalized health platforms
Individual-tailored, data-driven care journeys.
Questions we answer.
A few common questions about digital healthcare. Ask CGB-AI for more.
How is genomics used in digital healthcare?
Genomic and multi-omic profiles feed risk models and decision support, so digital-care platforms can personalize prevention and treatment, not just react.
Is patient data kept private?
Yes — pipelines are built privacy-first, with de-identification, access control and reproducible, auditable analytics.
Publications in Digital Healthcare.
Drawn from our record of 170 papers, filtered to this area.
Start a digital healthcare project.
Tell us the clinical question and the data you have — we will map out an approach.
