SENTINEL Incident & injury intelligence
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Live HSE monitoring · 12 sites · 4,800 workers

See every incident before it becomes a pattern.

SENTINEL tracks every injury, near-miss and corrective action across your sites, so a recurring hazard shows up as a heat-map you can act on, not a hindsight you explain.

Safety vitals

Are people getting hurt — and are we improving?

Eight vitals for the operation, each against its target or trend. Filter the bar above, or click any mark below, to focus the whole page.

Incidents are easing, but near-misses keep climbing
Weekly incident count, stacked by type · click a type to cross-filter
Stacked area · incidents/week · current week partial
TRIFR & LTIFR against target
Monthly frequency rates per 1M hours, vs target band
Dual line + target band · per 1M hrs
The safety triangle
Fatality → LTI → MTI → FAI → near-miss, by count
Signature
Heinrich pyramid · counts + tier ratios
How people get hurt
Incident count by mechanism · click to cross-filter
Sorted bars · top mechanism highlighted
Near-miss reporting funnel
Reported → triaged → investigated → actioned → closed
Funnel · stage counts + conversion %
01 · Body map

Where on the body injuries land

The anatomy of harm: which body regions take the hits, how severity stacks against each part, the path from mechanism to injury, and when in the shift it happens.

Where injuries land on the body
Front & back figures · region shaded by injury frequency · click a region to cross-filter
Signature
Interactive body map · sequential amber · red ring = high-severity present
Body part by severity
Body part × severity 1–5 · row/col totals
Heatmap matrix · sequential · value-in-cell over threshold
From mechanism to injury
Mechanism → body part, ribbons weighted by count
Signature
Sankey-style flow · top flows + Other · hover highlight
When injuries happen
Day / Swing / Night sectors, stacked by severity
Radial stacked bars · share by shift
02 · Root cause & actions

What is behind incidents — and are we closing the loop?

The vital few causes that drive most incidents, the corrective-action register, whether we are closing actions faster, and where overdue work is piling up.

What is really behind incidents
Root-cause counts + cumulative %, with the 80% line
Pareto · the vital few highlighted
Closing actions faster
Avg days-to-close by month vs SLA band
Line + SLA band · days
Corrective action register
Sortable · overdue rows tinted · click a row to cross-filter its incident
First-class table · id, title, owner, dept, due, age, priority, status
Corrective action status over time
Monthly actions stacked open / in-progress / overdue / closed
Stacked bars · overdue in red
Where overdue actions pile up
Overdue action count by department · click to cross-filter
Sorted bars · overdue count
03 · Sites & operations

Which sites and departments carry the risk

Incidents on the map and in a league table, where in the calendar each department runs hot, the severity mix per department, and the toll in lost days.

Incidents by site
Bubble area = incident count, fill = TRIFR · paired with a ranked bar
Signature
Geo bubble map (real coords) + sorted bar · click a site to cross-filter
Site safety league table
Incidents, TRIFR, days since LTI, open actions, 12-wk trend
First-class table · worst sites highlighted · click to cross-filter
Department incident heatmap
Department × month incident count · rows sorted by total
Matrix heatmap · sequential amber
Severity mix by department
Severity composition, sorted by high-severity share
100% stacked bars · severity ramp
Lost days to injury
Lost days per month, with the worst month annotated
Area + annotation · days/month
04 · Analysis

Dig deeper into the patterns

How long incidents take to close, whether leading indicators predict the lagging ones, the rhythm of incidents across the calendar, the latest events, and the full set of safety vitals.

How long incidents take to close
Distribution of days-to-close · median & p90 marked
Histogram · median + p90 · bins aligned to SLA
Leading vs lagging by site
Near-miss reporting rate vs recordable injury rate · bubble = headcount
Signature
Scatter · quadrant lines at medians · outliers named
The incident calendar
Incidents per day across the window
Calendar heatmap · sequential amber · hover a day for a mini-report
Latest incidents
The most recent reports · scannable rows
Rich timeline/table · date, site, type, severity, body part, status
Safety vitals
Core metrics as small multiples over the window
Small-multiple sparklines · last value labelled