MedCity News January 8, 2026
While there is a significant need and opportunity to address this overall spend with advanced AI tools that predict patient needs and readmission likelihood, intrinsic biases within these algorithms ultimately cause more harm than good and financial savings are being achieved at the expense of patient’s health.
AI’s impact within healthcare has increased significantly, yet biases in AI algorithms are creating gaps in care that these tools were meant to solve. Health leaders are being forced to weigh both the financial incentive of achieving operational efficacy and patients’ needs as they determine how to provide the most appropriate and cost-effective care possible.
While there is a significant need and opportunity to address this overall spend with advanced AI...
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