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Studies Review on Hospitals' Medical Decision Support


This video, Dr. Johanna Westbrook explains a result from a survey that hospitals’ decision on what alerts should be implemented. Nearly all of the hospitals had implemented allergy alerts, drug-drug interaction alerts, and a lot of them had implemented dose range checking. The hospitals believe that these alerts seem efficient.

Then, the educator presented many interesting questions on hospitals’ medical decisions. There were six studies that have looked at drug-drug interaction alerts, and two of those six studies had shown some improvement. However, in another study, the researcher found 2% of patients were harmed as a result of a drug-drug interaction alert, though most of that harm was quite minor. These results show that development is still ongoing.

Deep Patient Project in the US is another example. They used over 700,000 patient records to start being able to predict the probability of diseases, to be able to make recommendations for the most appropriate treatments for patients. This is the type of decision support that OHDSI intended to see in the future.

In the final part, Dr. Westbrook pointed out the challenges of AI implementing in the current system. How do hospitals have the right mechanisms and models? How do they incorporate decision support into clinical workflows? It’s the same challenge that we have now.

From the example that Dr. Westbrook presented, how do you view the potential of AI implemented in the medical decisions now?

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AI and Big Data in Global Health Improvement

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