Intelligent automation* (IA) is more than a way to revolutionize business and save money—I believe it also has the potential to save lives by the millions and increase healthy life expectancy. Intelligent automation can be applied to medical diagnosis and research to prevent unnecessary deaths. In addition, it provides more equitable access to healthcare worldwide.
*If you’re new to intelligent automation, I recommend you start with my previous UiPath article What You Need to Know About the Age of Intelligent Automation.
Preventing deaths through diagnosis and research
More than 70% of deaths worldwide are caused by chronic non-communicable diseases such as cardiovascular disease, cancer, diabetes, and respiratory illnesses.
An important characteristic of these diseases is that recovery rates are higher the earlier the disease is detected. Leveraging machine learning (ML), IA can save lives by analyzing scans and other medical data (such as blood pressure) to produce quick and reliable diagnoses.
Not surprisingly, ML can process lung or breast scans in minutes or seconds, where a human would take hours. But what’s more remarkable is that it has advantages over doctors when it comes to identifying cancer.
Another common factor among these diseases is the potential to find cures through research. Not only does ML help innovation in medical research (e.g., by simulating the combination of molecules), but it also plays a vital role by automating the documentation and checking of clinical trials, freeing up human researchers for higher-level cognitive tasks, and making the research process quicker and more efficient.
Preventing deaths caused by medical errors
Medical errors are a sad and often overlooked element of modern healthcare. In the United States (U.S.), medical errors cause over 250,000 deaths per year, which is higher than any other single factor except heart disease and cancer.