Use of Artificial Intelligence (AI) in Healthcare, What Do I Need to Know?
Artificial Intelligence (AI) has now firmly entered the healthcare field. Some organizations have welcomed the technology, while others are taking a slower approach. As AI use increases, it is essential to be aware of how this technology is influencing the care you are delivering so you can better assess what risks may be involved.
In a recent viewpoint article published in the JAMA Health Forum, Artificial Intelligence Can Be Regulated Using Current Patient Safety Procedures and Infrastructure in Hospitals, the authors explore how existing patient safety protocols can be adapted to regulate AI in healthcare. While AI has potential benefits, such as improving diagnosis and treatment options, it also introduces risks, particularly when used with populations not included in its original training. Hospitals, under current Centers for Medicare & Medicaid Services (CMS) requirements, can leverage quality assessment processes to address these risks. The Biden administration's executive order supports developing national standards for AI use, ensuring transparency, safety, and accountability.
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This article falls under TECHNOLOGY in the Enterprise Risk Management (ERM) risk domains.
This domain covers machines, hardware, equipment, devices, wearable technologies and tools, but can also include techniques, systems and methods of organization. Health care has seen an escalation in the use of technology for clinical diagnosis and treatment, training and education, information storage and retrieval, and asset preservation. Examples also include Electronic Health Records (EHR) and Meaningful Use, financial and billing systems, social media and cyber security; cyber risks can be significant.