Reducing Human Errors with AI: Enhancing Precision and Efficiency Across Industries
Human errors in the workplace occur for various reasons: insufficient training, fatigue, boredom, and distraction. Research has shown that nearly 23% of production downtime is due to human errors.
Mistakes can be costly. They can lead to an increase in defective products, a significant amount of time spent on customer support, and sometimes even cost lives. AI can significantly reduce the number of such errors because AI doesn’t get bored, tired, or forgetful like humans can. AI can work tirelessly and continuously, 365 days a year.
Some prominent cancer researchers in the United States have found that AI can greatly improve timely diagnosis. In conventional cancer treatment, radiologists monitor disease progression using periodic digital images. They manually measure tumors in the images and dictate their findings into textual reports. Unfortunately, this process is prone to measurement errors, incorrect terminology in reports, mislocation of tumors, and similar issues.
In a recent study at the University of Alabama at Birmingham, researchers compared the traditional approach of measuring tumor progression with similar measurements done by an AI tool called AI Mass. AI Mass can measure the tumor, automatically mark its location, and track it over time. Researchers found that the AI-assisted approach had 25% increased accuracy and reduced critical errors, such as tumor measurement or location, by up to 99%. The AI-assisted method was also twice as fast as the traditional method.
The long-term impact of this approach is significantly positive. It leads to changes in the daily processes performed by radiologists, as the number of errors is minimized. This can contribute to reducing burnout in this critically important area of diagnostics. It’s a classic win-win situation: patients receive better care, and doctors become more efficient.
Similar applications of AI to reduce human errors can be used in various other industries. Consider many tedious and exhausting processes that require constant human decision-making—when fatigue sets in, errors arise, bringing financial and other negative consequences. Whenever you detect such tasks in your business, you're on the right track to applying AI for the right reasons and improving your business efficiency.