The real-time operating layer
for dialysis centers
Connect treatment devices, support infrastructure, environment, and clinical data into one risk-control operating layer.
Suntop is not positioning a single software tool. It is a software, hardware, and data-service foundation for dialysis centers: device connectivity, bedside terminals, central monitoring, AI risk alerts, and workflows that turn daily practice into an executable closed loop.
100+ smart dialysis centers | 5000+ connected machines | Cloud / local / hybrid deployment
Core Clinical Challenges in Traditional Dialysis
Intradialytic hypotension (IDH) occurs in 15-30% of sessions¹, causing myocardial stunning, ischemic brain white matter injury, and other organ damage². Studies show that nadir systolic BP <90 mmHg during dialysis is significantly associated with mortality³, and ultrafiltration rates >10 ml/h/kg increase mortality risk by 9%⁴. Additionally, dry weight assessment is highly experience-dependent, with significant variability between physicians.
Our AI system analyzes BP trends, UF tolerance patterns, and historical treatment data to predict IDH events minutes before onset, optimize UF profiling, and provide evidence-based dry weight recommendations.
References
1. Daugirdas JT. Measuring Intradialytic Hypotension to Improve Quality of Care. J Am Soc Nephrol 2015;26:512-514
2. McIntyre CW. Hemodialysis-Associated Cardiomyopathy: A Newly Defined Disease Entity. Semin Dial 2014;27:87-97
3. Flythe JE, et al. Association of Mortality Risk with Various Definitions of Intradialytic Hypotension. J Am Soc Nephrol 2015;26:724-734
4. Saran R, et al. Longer treatment time and slower ultrafiltration in hemodialysis: associations with reduced mortality in the DOPPS. Kidney Int 2006;69:1222-1228
IDH Prevention
Reduced intradialytic hypotension through predictive alerts
Dry Weight Management
Data-driven dry weight assessment, reducing inter-physician variability
Risk Detection
Multi-dimensional analysis to identify potential complication risks early
Data-Driven Care
Transforming dialysis from experience-driven to data-driven precision management
From device data to clinical and operational closed loops
Whole-center IoT becomes the foundation for data capture, AI analysis, alarm escalation, bedside execution, and quality-control review.
Whole-center IoT data infrastructure
Connect dialysis machines, bedside terminals, vital-sign devices, support systems, environmental sensors, and hospital systems into a center-level real-time data layer.
Dialysis-specific AI and risk models
Build models around IDH, UF tolerance, dry weight, four-item monitoring, and alarm review while keeping clinical explainability and physician oversight central.
Bedside loop and operational control
Bring alerts, order confirmation, supply checks, quality metrics, and asset performance into one execution loop to reduce manual switching and missed steps.
Real Data, Real Improvements
Based on data from Suntop-operated dialysis centers, 2024-2025
Validated Deployment Scale
Explore Our Solutions
From technical architecture to clinical applications, discover our smart dialysis platform