Between fines from OSHA, worker’s compensation, and downtime from broken equipment or insufficient personnel, being lax on compliance is expensive. Sometimes, though, the list of requirements can seem unattainable, whether from lack of safety personnel or a need to just get the job done. It takes a lot of man hours to fill out, review, and implement health and safety changes using paper forms. However, by replacing a paper workflow with a digital solution, those hours can be drastically reduced, allowing your team is able to reach compliance on time and under budget.
Imagine an inspection form that's smart enough to alert a field technician about a safety issue and also tells them how to fix it. When the technician taps "Submit" on his iPad, the form automatically notifies an engineer not only that they need to send someone to perform an on-site repair, but also tells them what tools they need to fix the problem. Incorporating conditional logic into forms does just that: based on the answers provided by the user, a digital form with conditional logic can, in real-time, provide the user with an objective evaluation of a situation.
It’s impractical to expect every technician to judge every problem with identical standards every time, so instead of asking them subjective questions regarding safety, ask them objective questions regarding the state of the equipment or jobsite. A digital form can analyze answers in real-time, and inform the technician of problems and how to fix them, mitigating the risks associated with subjective data recording and human error. One great example of this is airplane safety. Overlooking one or two small infractions may not be a big deal on its own, but add up a number of safety issues together and that plane could fall out of the sky.
In addition to built-in logic, digital data storage allows for the use of analytics to dive deeper into understanding your jobsite compliance. Analytics engines can accurately predict when a piece of equipment is likely to break down by analyzing a series of data points: time since its last service appointment, numbers of hours in operation per day, estimated lifespan of particular components and parts, and even weather conditions. This information can be fed into the conditional logic of a form, triggering responses based on projected maintenance requirements. A small safety issue on a brand new machine will present differently than a small safety issue on a machine that is nearing the end of its life, and that additional insight can save your team time and money and prevent serious injury to your people.
Technicians in the field rarely have time to analyze the data they collect; they’re too busy doing their jobs. Embracing modern tools for data collection, however, enables those same teams to be proactive in their safety, minimizing downtime and maximizing the lifespan of equipment.