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Machine learning can help reduce medical errors

| Nov 7, 2020 | Medical Malpractice

Everyone in Massachusetts has heard the buzz about artificial intelligence and its potential real-world applications. One of the most important developments is helping to improve the accuracy of diagnosis in the medical space.

The cost of medical errors

Medical errors take a real toll on patients in the United States. In fact, medical mistakes are the third-leading cause of death in the country. Hospitals, professional associations and individual medical providers are all eager to find a solution to this problem. One of the most promising is the evolution of AI decision-support systems for clinicians. Clinical pharmacist medication reviews are also starting to use artificial intelligence to eliminate errors.

Addressing the issue

Currently, most medical workers utilize electronic charts and other records when treating patients. It’s expected that in the near future, this will change. More often, physicians will interact with clinical decision-support interfaces at work. Eventually, these systems may supplant traditional medical records for many functions.

AI assistance is a helpful option when it comes to diagnosis. The software may find patterns in symptoms that individual physicians miss. However, if a physician feels strongly that the AI is mistaken, they can still override it with their own clinical judgement. Overall, the use of AI has the potential to make positive impacts in diagnoses.

If you have been negatively impacted by a missed diagnosis, you should know that it may potentially be a case of medical malpractice. It may be a good idea to reach out to an experienced attorney. The attorney may help you find out if you’re entitled to damages to defray the expenses related to your misdiagnosis.

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