The Role of Low Staffing, Poor Information Sharing, and Isolated Record Management Systems in Poor Case Clearance Rates

We need to work together

This means police woking better with police AND community working better with police!

In 2020, the crime clearance rate was highest for murders and non-negligent homicides, with around 54.4 percent of murders being solved by investigators and a suspect being charged with the crime (source). This means that too many people are getting away with murder. This isn't a result of law enforcement officers not caring. They don't have the right equipment, software, or overall funding to do their jobs effectively; law enforcement needs force-multiplying technology—like an AI-powered communication platform that supports officers from the street to the hall and between departments. (::hint hint:: IMPaCT😂)

Low Staffing Levels Contribute to Poor Case Clearance Rates

Law enforcement agencies are often understaffed and overworked. This can lead to a lack of resources, making it difficult for officers to investigate cases accurately and adequately and share information with other departments. For example, if an officer doesn't have time or resources to process evidence properly, that evidence may be useless when trying to solve a case. Additionally, low staffing levels mean fewer eyes on the street, helping prevent crime before it happens—which could result in more unsolved cases further down the line.

Poor Information Sharing Hurts Case Closure Rates

For law enforcement agencies to close cases quickly and effectively, they must be able to share information easily between departments. However, this is often difficult due to isolated record management systems (RMS). These systems can cause data silos where departments can't access each other's information—making it impossible for them to collaborate on a case or build upon each others' findings. Without easy access to all relevant data points, investigations can drag on indefinitely as officers try to piece together disparate pieces of evidence from different sources.

AI-Powered Force Multipliers Can Help Improve Case Clearance Rates

Law enforcement agencies need force-multiplying technology, such as an AI-powered communication platform capable of supporting officers from the street up through multiple departments in different jurisdictions to improve case closure rates and reduce unsolved crimes. Such platforms should be able to integrate with existing RMSs so that all relevant data points are available in one place for easy access by all involved parties—including those outside of law enforcement circles such as prosecutors, private investigators, corporate security, and others, who may need or have additional information regarding cases. By providing real-time intelligence lead policing capabilities across multiple agencies simultaneously, these platforms can dramatically reduce case closure times while freeing up valuable resources previously spent attempting to manually manage investigations across numerous departments or jurisdictions.

The role of low staffing levels, poor information-sharing practices due to isolated RMSs, and lack of an AI-based force multipliers cannot be understated when looking at why many cases still need to be solved today despite the best efforts put forth by law enforcement personnel worldwide. By implementing an AI-powered communication platform capable of integrating with or working alongside existing RMSs and supporting officers from the street up through multiple departments in different jurisdictions, agencies will be able to reduce case closure times while also freeing up valuable resources previously spent attempting manual investigation management across various departments or jurisdictions; ultimately resulting in improved public safety outcomes for communities everywhere.