DROME Blog
Insights on Hospital Intelligence, medical IoT, hospital compliance and technology for critical environments.

How to Use Historical Data to Predict Failures in 2026
Discover how to analyze historical sensor data to anticipate failures, prevent losses, and ensure operational safety.

Checklist: What to Evaluate Before Trusting Predictive Alerts
Evaluate accuracy, data history, anomaly types, and personalized configuration before trusting predictive alerts.

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.

How to Identify 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 Is Underutilized in 2026
Discover how to identify gaps in historical data usage to improve forecasts and prevent risks in monitoring systems.

How to Automate the Sensor Maintenance Cycle
Discover how to implement automatic routines to monitor performance and ensure sensor calibration with real-time data.

Implementing Patient Safety Centers in Healthcare Services
Discover how to structure Patient Safety Centers according to PNQSP 2026 and strengthen surveillance with DROME.

National Policy for Patient Quality and Safety 2026
Understand the pillars of the National Policy for Patient Quality and Safety 2026 and how DROME contributes to prevention.

How Interfederative Governance Works in PNQSP of the SUS
Learn about the role of interfederative governance in PNQSP of the SUS and how DROME supports coordination to improve patient safety.

Risk Attribution in Predictive Monitoring: Effective Methods
Learn the main risk attribution methods in predictive monitoring to anticipate failures and prevent violations.

How to 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.

How to Predict Contamination Risks in Storage Chambers
Advanced technologies for predictive monitoring and anomaly detection prevent contamination in storage chambers.
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