How Artificial Intelligence And Automation Impacts Healthcare Employment

Artificial Intelligence News

How_Artificial-Intelligence-And-Automation-Impacts-Healthcare-Employment How Artificial Intelligence And Automation Impacts Healthcare EmploymentAs the latest report from the Brookings Metropolitan Policy program noted that the increased utilization of Artificial Intelligence and automation is slated to replace millions of jobs and tasks in the coming years, healthcare employment is relatively in safe hands from automation. The report, titled “Automation and Artificial Intelligence: How machines are affecting people and places”, goes back and looks at how automation impacted the workforce from the 1980s to 2016 and provides predictions on how new AI tools and automation will have an effect on the economy by 2030.

In the statement, Senior Fellow and lead author of the report, Mark Muro stated that the upcoming phase of automation, gradually including AI, supposed that it should be manageable in the collective labor marketplace, but there is an array of sources of ambiguity. As a result, the possible effects will differ significantly on the basis of regions, occupations, and demographics that mean industry, policymakers, and society will need to focus much more than what they are assuring the coming transitions will work for all of those affected. Muro, along with his fellow authors found that just one-quarter of U.S. jobs are at high risk of automation in the near future. While, about 36 percent of US employment, or 52 million jobs in 2016 face medium exposure by 2030, and the rest of 39 percent, means 57 million jobs in 2016, will experience low exposure. The report manifested that the healthcare workforce sits in the medium to low exposure buckets.

For instance, home health aides only have an 8 percent automation potential by 2030, while registered nurses have a 29 percent automation potential and medical assistants have a 54 percent automation potential. Moreover, healthcare practitioners and technical occupations have 33 percent current-task automation potential and healthcare support occupations have a 49 percent potential. In contrast, jobs that are in more cut-and-dried activity areas will experience the largest automation potential including agriculture, administration, construction and extraction, maintenance and repair, transportation, production, and food services.