Addressing The Ethical Use Of AI In Healthcare

As the use of artificial intelligence (AI) technologies continues to infiltrate the healthcare space, the security of patient information, electronic health records (EHRs) and communications related to patients’ medical care has become an increasingly critical focus point for healthcare organizations. The proliferation of AI in healthcare has brought with it many questions about AI ethics that are being hotly debated in academia, industry and the media. As the healthcare industry moves, albeit slowly, away from paper-based documentation, AI technology and machine learning programs will be increasingly relied upon to capture and manage highly sensitive patient information. But keeping data that is managed by AI secure presents challenges. As leaders throughout the industry refine and implement IT security plans and processes related to AI patient data management and their teams work to safeguard information, human oversight will continue to play a critical role in the evolution of AI in healthcare. The push to digitize and automate healthcare data management represents a giant leap forward in helping health plans deliver better outcomes for their members. 

Medigy Insights

The integration of artificial intelligence (AI) technologies in healthcare raises concerns about securing patient information, electronic health records (EHRs), and communication channels. The ethical implications of AI, coupled with the need to protect sensitive data, pose challenges in maintaining privacy and trust. Balancing the benefits of AI with robust security measures and human oversight is crucial. As the industry moves towards digitization and automation, the responsible implementation of AI in healthcare can improve outcomes while ensuring patient information remains secure.


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