Challenge:

Doctors spend a significant amount of time entering unstructured free-text information into Electronic Health Records (EHRs). This task is labor-intensive, and the resulting notes are not readily accessible or structured in a manner that allows effective analysis. Consequently, summarizing a patient's condition upon arrival becomes challenging.

Solutions:

Our NLP System enables Doctors to interact with medical records, removing the need to hunt for key observations and allowing them to focus on patient care.

-Information extraction from clinical notes

-Information extraction from radiology reports

-Identifying adverse events of medication

-Medical coding and compliance

-Patient Trials

-Patient Sentiment analysis

Results:

These findings, which achieved 80% predictive algorithm precision, are now making a valuable contribution to information retrieval and enables physicians to optimize patient care by identifying which problems are most pressing and administering immediate treatment and reduce wait times by 15%