voicy โ€” Burnout Prevention: Department Analytics

๐Ÿ”’ This dashboard shows anonymised, department-level trends only. Individual reflection data is never accessible to management.
๐Ÿ‘ฅ
48
Active Staff
๐ŸŽ™๏ธ
87% ยท 142/164
Weekly Reflection Completion
โš ๏ธ
3
High-Risk Flags

Staff flagged for elevated burnout risk (anonymised)

๐Ÿ“ˆ
6.4 โ†“
Avg. Wellbeing Score

from 6.8 last month

Risk Distribution by Ward

Risk levels based on Maslach Burnout Inventory (MBI) markers tracked in weekly reflections.

Wellbeing Score Trend by Ward (1โ€“10)

Top Identified Stress Themes

Themes identified through AI analysis of anonymised reflection content.

Validated Metrics

MBI Markers

Voicy tracks weekly reflections against three validated dimensions of the Maslach Burnout Inventory (Maslach et al., 1996).

๐Ÿ”‹ Emotional Exhaustion

Tracking feelings of being emotionally overextended and exhausted by clinical work volume.

๐Ÿค Depersonalization

Monitoring impersonal or detached responses toward patients to detect early compassion fatigue.

โญ Personal Accomplishment

Measuring drops in feelings of clinical competence, successful achievement, and efficacy.

Suggested Actions for HR

Recommendations are generated based on anonymised aggregate patterns, not individual staff data.