Error-prone

Adjective describing a process or individual that is susceptible to making mistakes or errors frequently. Often used in contexts where accuracy is critical, error-prone systems, tasks, or practices can lead to significant setbacks or consequences, especially in fields like technology, medicine, finance, and safety. The term highlights the need for enhanced precision and reliability in performance or operations.

Error-prone meaning with examples

• The software we implemented was highly error-prone, leading to constant bugs that frustrated users and prompted frequent updates. After analyzing the feedback, we realized that simplification and a more user-friendly interface were necessary to improve its reliability and user experience, reducing the incidence of errors in future releases.
• During our data entry project, we discovered that the manual input method was incredibly error-prone, resulting in incorrect information being submitted regularly. To mitigate this issue, we successfully transitioned to an automated system that minimized human intervention, thereby enhancing accuracy and saving valuable time for our team and clients.
• Many early computer systems were error-prone, as they relied heavily on rigid programming that could not adapt to different user inputs. Ongoing developments in artificial intelligence and machine learning are working towards creating more robust systems that can handle variable data without falling prey to frequent mistakes.
• In high-stakes environments like healthcare, any error-prone processes can jeopardize patient safety, leading to serious consequences. This prompted our organization to reevaluate our protocols and implement rigorous training programs to ensure staff were aware of the best practices designed to minimize errors and enhance overall care quality.
• The error-prone nature of the current algorithm has led our research team to reconsider its application in future projects. We believe that investing in developing a more reliable model will pay dividends in accuracy, thus helping us achieve consistent and dependable results in our research endeavors.