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Deploying AI? Healthcare Leaders Must First Consider Cybersecurity and Equity
Artificial intelligence is the most disruptive technology since the widespread adoption of the internet. AI could permeate industries the same way, transforming their operations. Healthcare is not immune. Health institutions of all types are already exploring AI’s potential to refine patient treatments, relieve the burdens of workforce shortages, and accelerate new research discoveries. Some in the healthcare landscape are already running pilots to determine use case possibilities. Deploying AI solutions in this rightfully risk-averse industry will require addressing longstanding security issues and equity concerns before its full promise can be fulfilled.AI projects among healthcare institutions are attracting interest and funding, but the industry needs to overhaul its cybersecurity posture to prevent threats to patient safety and privacy.
Medigy Insights
AI in healthcare is still nascent, but equity must be a top consideration in building policies and projects. Emerging technologies like AI offer a chance to design systems for healthcare delivery and clinical research with equity principles built in.Some worry that AI could exacerbate health disparities. For example, organizations could develop technology that is informed by large data sets that could breed inequality at the institutional level, especially when those datasets are unvetted.
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