Artificial intelligence (AI) is revolutionizing the healthcare industry, increasing decision-making capabilities, improving the quality of care, and reducing its costs.
In the era of supercomputers and technological advancement, the healthcare sector generates large amounts of data, which it can process and analyze to gain important information.
But is this data being used well? There is a need for more accurate data, but not necessarily in greater quantities. In the healthcare industry, a lot of data is generated, but most of it is useless because it is not being turned into meaningful information.
If, for example, we want to use AI to help make accurate predictions and recommendations, we need high-quality data that can provide us with important information.
Personalized healthcare.
Health informatics has evolved over the past 35 years. Health informatics focuses on information technology that is used to positively impact the patient-physician relationship through the effective collection, storage, normalization, and analysis of health data.
How does AI work? Electronic patient health records include all the necessary data that helps a patient when they visit a doctor’s office or hospital. All of a patient’s medical information should be easily accessible in digital form.
The data should be up-to-date and secure, and healthcare should be easier to coordinate across facilities and providers.
This kind of big data collection means that data can be extrapolated from across the board to identify commonalities between groups, such as those suffering from or at risk for a condition like diabetes. All of this points to a shift toward personalized healthcare (also known as precision medicine).
Eliminating Errors in AI
In the future, it may be possible to tailor treatment and prevention plans for a patient, based on factors such as genetics, age, lifestyle, and environment. As with other technologies and improvements, the more tailored the medical plan, the better and more cost-effective the patient's outcome.
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