Workforce wearables can go beyond biometrics and fitness, tracking usable data that’s relevant to employee safety and focused on the environment around an employee, not the employee themselves. This data includes things such as environmental hazards, slips/trips/falls, strain and exertion ergo concerns, location/proximity, and voice reported good-catches, providing a more complete picture of workplace risk. With this data, manufacturers, construction, and industrial organizations can better understand trends, and gain real time insights enabling proactive and preventative hazard remediation ensuring their workers safety.

Key Takeaways:

1. How wearable technology provides a unique means of gathering relevant EHS data while respecting employee privacy.
2. How machine learning & AI are being used to identify high-risk safety trends.
3. How analytics intelligence can be provided to safety leaders in an easy-to-understand format with actionable advice before incidents happen.
4. How T.R.U.E. Leading Indicators to Hazards & Risk help companies reduce risks and workers’ compensation claims.
5. Case studies with findings and insights around; process improvements, environmental hazards detected, uncovering harmful human motion, and positively impacting safety culture.

Price
Free

CEU Info
This course may be eligible to be reported as a self-directed course if that option is available under the continuing education parameters of your program.

This course also qualifies for 1.0 PDH under the Florida Board of Professional Engineers (FBPE).

About MakuSafe:
MākuSafe is an award-winning connected worker wearable technology and safety data analytics solution deployed across the globe. Our mission is to improve worker health, safety, and productivity by reducing injuries and mitigating workplace hazards and risk exposures. The company was founded based on the simple premise that every individual worker’s experience is unique to them and that data gathered about environmental exposures and ergonomic motions from each individual is critical to understanding risk in the workplace. This data includes industrial hygiene and environmental concerns, slips/trips/falls, strain and exertion, ergonomic risk, and location/proximity. This approach provides a more complete picture of workplace risk, the trends and changes in those risks over time, and integrates the worker into connected advanced manufacturing environments to accelerate industry 4.0 initiatives. In addition, the push-to-talk capability on the wearable improves communication by enabling real-time reporting from the front-line worker. Enhancing communication contributes positively to organizational culture, participation, and engagement. More at www.makusafe.com

---