Using Data to Reduce Injuries and Costs
Firms are motivated by understanding their injury performance measured against the performance of their peers.
Firms are motivated by understanding their injury performance measured against the performance of their peers.
Using COR audit results and WCB claims data, we studied the effectiveness of the COR program in three subsectors.
It should be clear now why we believe no ML algorithm is magic. To have a smart machine we need good data to train the machine with.
On average, small firms are expected to have a 55% drop in the total compensation days per claim if they become COR-certified.
What if we could actually analyze trends and benchmark against other companies? Educate senior management, using numbers to show leading indicators?
Firms registered for the voluntary COR program experienced substantial reduction in their time loss injury rate (TLIR).
Wearable technology helps reduce injuries and increase awareness in many aspects of safety for individuals and organizations alike.
Anyone who has been in health and safety, or had it as part of their “performance measurement”, knows what the TRIF (or TRIR) is.
We asked our people to do two things: take a picture of themselves doing something silly in a mask, and write two sentences about themselves.
If you thought of becoming a data scientist, you probably took one of those fancy courses where they taught you how to train deep neural networks.
I highly recommend that any buyer of construction services start by confirming that their contractor is COR certified.
A growing body of evidence suggests that implementing COR in small Saskatchewan construction firms can reduce occurrence of all injures by up to 40%.
Anecdotally, we have observed that firms experiencing what we call “business expansion” seem to experience higher injury rates.