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Module 3 of 6

Status Changes & Trends

A dynamic view of how patient condition evolves across organ systems over time, enabling clinicians to detect patterns and respond to emerging concerns.

MINA Dashboard - Status Changes & Trends
Status changes panel with system severity tracking (area between panels 2 and 4)
What This View Shows

Understanding the Status Changes & Trends module

This module logs and visualizes changes in patient status across multiple systems over time. It tracks percentage-based severity indicators for respiratory, pain, skin, infection, and other systems with precise timestamps. The trend data shows not just the current state, but the trajectory — whether a system is improving, stable, or deteriorating. Color-coded severity levels provide immediate visual cues about the direction and magnitude of changes.

Clinical Significance

Why it matters clinically

Understanding how a patient is trending is often more clinically valuable than knowing their current state alone. A patient whose respiratory status has declined from 20% to 90% severity over several hours tells a very different story than one who has been stable at 50%. This temporal context is critical for anticipating deterioration, evaluating treatment effectiveness, and making proactive rather than reactive clinical decisions.

AI Clinical Advisor

How AI could assist

The AI advisor in this module focuses on identifying meaningful trends, highlighting significant deviations from baseline, and explaining what changes may indicate in general clinical terms. It supports time-based reasoning, comparison to previous states, and recognition of emerging patterns — while avoiding overinterpretation of small fluctuations.

Important: This system supports clinical decision-making and does not replace physician judgment. All AI-generated insights should be validated by qualified medical professionals.

Example Clinician Questions

1What has changed the most in the last 6 hours?
2Is the patient improving or worsening overall?
3What trends should I focus on right now?
4Are there any systems showing rapid deterioration?
5How do current trends compare to the previous shift?
Integration Potential

Value when connected to EMR and real-time data

When connected to continuous monitoring feeds, laboratory results, and nursing documentation, this module can provide automated trend detection with clinically meaningful thresholds. Integration with predictive analytics could enable early warning scores that alert teams to deterioration before it becomes critical, fundamentally shifting care from reactive to proactive.

Your Input Matters

Help us improve this module

We are actively seeking feedback from clinical practitioners to shape the future of this platform.

What timeframes are most useful for tracking patient trends?
What visual format helps you understand trends most quickly?
Which system trends are most critical for your clinical decisions?
How do you currently track patient trajectory, and what gaps exist?