| Application |
Description |
Impact on healthcare |
| Real-time stroke detection |
Processing data from imaging devices in real time, facilitating rapid diagnosis and treatment |
Reduces time to treatment, critical for conditions like ischemic strokes, potentially reducing long-term disability |
| Surgical monitoring |
Monitoring and analyzing vital signs and other parameters during surgeries in real time |
Enhances patient safety by enabling immediate reactions to physiological changes |
| Continuous chronic disease management |
Using wearable devices to monitor and manage chronic conditions like diabetes in real time |
Improves disease management by providing constant feedback and allowing immediate adjustments in treatment |
| Telemedicine support |
Local processing supports real-time communication between remote specialists and patients, facilitating teleconsultations |
Expands access to specialist care, particularly in remote areas, improving outcomes by providing timely expert interventions |
| Advanced home care |
Integration of fog computing with home health devices to monitor and manage post-hospitalization recovery |
Reduces readmission rates by providing continuous, personalized monitoring and adjusting treatments based on real-time data |
