How to Mitigate Ethical Challenges of AI-Driven Healthcare

The following is a guest article by Natalie C. Oehlers, Associate Attorney and Carly C. Koza, Healthcare Associate Attorney at Buchanan Ingersoll & Rooney. While various legislation has been implemented or proposed at both the federal and state levels to standardize and accelerate the development of artificial intelligence (AI), most stop short of addressing the significant ethical challenges that may arise. Now, more than ever, it is important for developers, manufacturers, and healthcare providers to remain vigilant as it relates to ethics surrounding AI.   How AI Improves the Healthcare Industry  AI is a powerful tool that has the potential to help solve some of the biggest challenges facing the healthcare industry today while also ensuring quality patient care, reducing costs and reducing potential liability for practitioners.   Administrative tasks such as records retention and maintenance, pre-authorizing insurance and bill processing and follow-up take up a significant portion of time that could otherwise be allocated to patient care. By using AI systems, such as advanced AI billing software that automates the claims review process, these administrative burdens are reduced.  Another use of AI in the healthcare industry surrounds data analytics. Data analytics can be broken down into four distinct categories — diagnostic, descriptive, prescriptive and predictive — all of which analyze both current and historical data to predict certain outcomes as they...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Analytics/Big Data Clinical Healthcare IT Hospital - Health System Artificial Intelligence Carly C. Koza ethics Healthcare AI Healthcare AI Ethics Informed Consent Natalie C. Oehlers Source Type: blogs