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Mechanisms For Risk Management And Control

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Imagine if an agency was able to actually ensure that its officers were safely responding to calls for service, communicating with the public in a courteous manner, and enforcing the law without violating the rights of the citizens they are sworn to protect. The thought of providing this type of oversight and close supervision seems nearly impossible—there are far too many officers and far too few supervisors who already have a myriad of tasks. However, while this might first appear as an exercise in wish fulfillment, the solution lies in a tool that most agencies are already utilizing: the body-worn camera (BWC).

As more and more law enforcement agencies purchase BWCs in response to the public’s demand for transparency in police
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Ask the question, “Where is the agency bleeding?” If an agency has experienced negative media attention or civil litigation as a result of poor officer performance, this model will help leaders discover which incidents create the greatest opportunity for the negative results they are trying to mitigate. Vehicular pursuits, arrests involving the use of force, and confrontations with combative subjects during mental health–related calls are the most prominent areas where law enforcement agencies have experienced loss. The agency’s first step toward employing BWCs for risk management involves identifying the incident types that have been most problematic for the agency. Review the agency’s loss data to determine what types of incidents historically have had the greatest negative affect on officer safety and civil liability. Once this high-risk critical incident list is generated, agency leaders should require selected supervisory personnel to conduct a mandatory review of all incidents that fall under these categories.

Step 2. Deconstruction and Key Performance Indicators
The next step in developing a holistic risk management program using BWC video as core content involves deconstruction. Deconstruction is the process of separating a complex system into the smallest subsystems possible to better understand the
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