The Security Dilemma Associated with the Use of Healthcare AI

Artificial Intelligence (AI) is a rapidly growing technology that is changing how healthcare is delivered. AI is being used in the early detection of cancer, to support the care of trauma patients through fracture and pneumothorax detection, and as a tool to drive health equity, just to highlight a few examples. AI has the opportunity to positively impact patient care and ease the burden on healthcare providers.

Despite the growing list of benefits associated with using AI, data security remains an issue. This week’s Domain Knowledge takes a closer look at the security challenges associated with healthcare AI and ways to address these issues.

The Importance of Data Security in AI-Enabled Healthcare provides a nice overview of risks as well as ways to ensure data security.

When addressing AI security, developer partners ask… can’t we do everything in the cloud? The short answer is no. Cybersecurity in the world of healthcare AI addresses why cloud-only is not the best or most secure approach.

AI in Healthcare: Data Privacy and Ethics Concerns reviews several areas of concern in terms of data security. The authors ask the reader to consider this question… How can we balance the potential for positive health outcomes with concerns over health data privacy, ethics, and human rights? What is the author’s conclusion? Technology companies must step up and take the initiative to build appropriate technical safeguards into their AI healthcare solutions. 

Assessing the inherent tension between protecting privacy and security and using data in an AI context, the podcast AI in Healthcare Poses Algorithmic Bias, Data Privacy, Security Risks highlights ways AI developers and users can take now to mitigate risk.

That’s a wrap for this week’s review of news and happenings in the healthcare AI space. In closing, I’ll invite you to learn more about the benefits of using an AI Hub to manage multiple applications across your clinical needs and offer you a personal demo of Ferrum’s platform and growing AI catalog.

If you have AI tips, suggestions, or resources, you’d like to share, leave us a note below, and please feel free to suggest topics you would like to see covered in future posts.