Insurance claims have thousands of communications channels- text messages, calls, emails etc. and this information is stored as unstructured data in most of the systems. With help of sentiment analysis,...
Leveraging the power of AI and NLP, medical systems and medical schools are able to paint a more cohesive picture of authoritative content coverage and verify success of learning initiatives...
Currently, the process of evaluating suicide is highly subjective, which limits the efficacy and accuracy of prevention efforts. Artificial intelligence (AI) has emerged as a mean of investigating large datasets...
While disease severity dictates how virtually all diseases are managed and treated, disease-specific severity measures are seldom available in structured clinical data. Therefore, an application that could extract such severity...
The real-world evidence in electronic health records has the opportunity to catalyze retrospective research, but much of the data is found not in structured fields, but trapped within clinical notes....
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