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Artificial intelligence (AI) is revolutionizing the healthcare industry by enhancing decision-making capabilities, improving quality of care, and reducing costs. In the age of supercomputers and technological advancement, the health sector generates vast amounts of data, which AI can process and analyze to extract meaningful information.
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But are we making good use of those data? As I see it, we need better, but not necessarily more, data. We have a lot of data, but much are of little use because they aren’t being turned into meaningful information. If, for example, we want to use AI to help make accurate forecasts and recommendations, we need high-quality data that can provide us with information.
Personalized healthcare
As an IT and healthcare professional, I’ve seen health informatics evolve during the past 35 years. Health informatics focuses on information technology to positively affect the patient-physician relationship through effective collection, storage, normalization, and analysis of health data.
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Comments
Decisionmaking without accountability
AI in healthcare will just be an excuse for humans to make decisions that hurt other humans while deflecting moral culpability for the harm they cause. That said, this will honestly be no different than the current system, whereby top-down decisionmaking from administrators and bureaucrats strips physicians of their autonomy and associated moral responsibility for patient outcomes.
In Spring of 2020, hospitals in the United States prevented patients from having their advocates with them while they were in hospital. We all know what happened next.
Not to worry, though... everyone involved was just following orders.
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