Imagine a world where algorithms, instead of illuminating the path to better care, cast
ominous shadows on patient well-being and ethical practices. The most chilling consequence
lies in misdiagnosed illnesses, where biased algorithms perpetuate discrimination and lead
to inaccurate assessments. This can snowball into inappropriate treatment plans, causing
harm to patients and eroding trust in the healthcare system. Privacy can also become a
casualty in this realm. Breaches and leaks can expose sensitive medical information, leaving
patients vulnerable to financial fraud, social stigma, and even identity theft. Even when
intentions are good, data used for insurance or resource allocation can turn discriminatory,
denying care to certain groups based on biased or misleading risk assessments.
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Patient Experience and Engagement
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Cybersecurity Risks
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Predictive Analytics