S m a l l S p a r k . U K

Healthcare

  • Edge computing can support reduced workloads for medical staff.

  • Local data fusion can enable real-time tracking of patient trends.

  • Low-bandwidth solutions can support cost-effective data management.

  • On-site processing can enable secure, rapid analysis of patient data.

Industry Challenges

Healthcare services are under immense pressure, facing increasing patient loads and rising digital infrastructure demands. Key challenges include:

  • Overburdened Medical Staff – Manual monitoring and administrative tasks reduce time spent on patient care.
  • Patient Data Management Complexity – Large volumes of medical data from wearables, imaging, and monitoring devices make it difficult to track trends and identify patterns.
  • Patient Data Security Risks – Centralised cloud storage increases vulnerability to cyber threats and data breaches.
  • High Bandwidth & Infrastructure Costs – Hospitals often struggle to meet the bandwidth demands of cloud-based patient data processing.

How SmallSpark Solves These Challenges

  • By processing, fusing, and analysing data at the edge, SmallSpark’s CORTEX platform and AXON computing units enable secure, real-time insights into patient health, reducing workloads and improving efficiency:

    • Advanced Data Fusion for Patient Insights – By combining data from multiple sources—vitals, imaging, and historical health records—our edge-based approach enables real-time trend tracking and anomaly detection without relying on cloud infrastructure.
    • Lower Workloads for Healthcare Staff – Automated, edge-based analysis of patient health reduces manual intervention, allowing staff to focus on critical care.
    • No Need for Costly Internet Upgrades – Unlike cloud solutions, edge computing operates with minimal bandwidth, preventing expensive infrastructure overhauls.
    • Real-Time Data Encryption – Patient data is encrypted at the source, ensuring compliance with strict health data security standards.

  • Real-World Applications

    • Real-Time Patient Monitoring – On-device models track patient vitals in real time, detecting early warning signs without compromising data security.
    • Secure Medical Imaging Processing – On-device image analysis reduces data transfer costs and risks, keeping sensitive patient scans encrypted and local.
    • Optimised Hospital Resource Allocation – Instant data fusion from multiple monitoring devices helps predict patient needs and streamline staff workflows.

  • Key Benefits

    ✔ Reduced staff workloads, improving efficiency and patient care.
    ✔ Advanced data fusion for tracking trends and identifying patterns in patient health data.
    ✔ No costly bandwidth upgrades, reducing hospital infrastructure costs.
    ✔ Over 90% lower latency, ensuring fast, on-site data processing.
    ✔ Secure, real-time encrypted data handling, protecting patient confidentiality.

Get Started

Improve patient outcomes and operational efficiency with SmallSpark’s intelligent healthcare solutions. Request a demo today to explore how edge computing can transform your healthcare system.