DROME Blog
Critical equipment monitoring, cold chain, hospital compliance and technology for critical environments.
Machine Learning vs. Fixed Rules: Which Detects Anomalies Better
Comparison between machine learning and fixed rules for detecting anomalies in industrial sensor data and critical environments.
Identifying False Positives in Predictive IoT Alerts
Learn how to filter false positives in predictive IoT alerts to improve reliability and avoid unnecessary interventions.
5 Signs Your Historical Data Isn't Working for You in 2026
Discover how to identify gaps in historical data usage to improve forecasts and mitigate risks in monitoring systems.
Automate Sensor Maintenance Cycles with Predictive AI
Discover how to implement automated routines to monitor performance and ensure sensor calibration with real-time data.
Implementing Patient Safety Cores in Healthcare Services
Discover how to structure Patient Safety Cores according to PNQSP 2026 and strengthen surveillance with DROME.
National Patient Quality & Safety Policy 2026
Understand the pillars of the National Patient Quality and Safety Policy 2026 and how DROME contributes to prevention.
Interfederative Governance in PNQSP: SUS Coordination
Understand the role of interfederative governance in PNQSP and how DROME supports coordination to improve patient safety.
Risk Attribution in Predictive Monitoring: Effective Methods
Discover the main risk attribution methods in predictive monitoring to anticipate failures and prevent violations.
Migrate from Reactive Alarms to Predictive Alerts in 2026
Learn how to implement predictive monitoring to anticipate failures and prevent losses in critical systems in 2026.
Predict Contamination Risks in Storage Chambers
Advanced technologies for predictive monitoring and anomaly detection prevent contamination in storage chambers.
Predictive Forecasting to Prevent Regulatory Fines
Avoid regulatory fines with predictive monitoring that anticipates failures and violations before they occur in your system.
Balance Predictive and Operational Alerts Without Team Overload
Learn to equilibrate predictive and operational alerts to reduce false positives and keep your team focused on critical actions.
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