This presentation will describe the current state of existing surveillance systems that can provide valuable PtD information for risk management. The authors will present a blueprint for an optimal PtD related database for future collection or creation through a combination of characteristics of the existing surveillance systems reviewed.
Prevention through Design (PtD) has been identified as one of the best ways to prevent and control occupational injuries, illnesses, and fatalities. In short, designing out or minimizing hazards and risks early in the design process. It includes all efforts to anticipate and design out hazards to workers in facilities, work methods and operations, processes, equipment, tools, products, new technologies, and the organization of work. As an effort to insure that SH&E professionals understand and employ the concepts of PtD, a voluntary national consensus standard—ANSI/ASSE Z590.3-2011, Prevention through Design Guidelines for Addressing Occupational Hazards and Risks in Design and Redesign Processes was adopted in early 2012.
A significant hurdle to the adoption and implementation of PtD is the availability of a unified surveillance system that incorporates a sufficient number of variables, narratives and proper identification of PtD needs. For the purposes of this paper, surveillance is the ongoing and systematic collection, analysis, and interpretation of health and safety data in the process of describing and monitoring of injuries and illnesses. To assist in the learning process and to increase the use of PtD principles, existing surveillance systems were evaluated for their ability to convey the use of those principles to prevent injuries and illnesses or alternatively acknowledge where they should have been used. The goal of this proceedings paper is to present a comprehensive yet easy-to-use summary of those existing systems that capture information related to PtD efforts in the workplace. In addition to the summary of information found in these existing surveillance systems, a possible new database design to capture PtD related variables and needed categories to support PtD initiatives will be presented.