AI Powered Clinical Document Analysis | Python |

Overview

Getting approval for Medical Trial or Study involves the preparation of a Protocol document and varied supporting documents for the review board. Currently, reviewing documents for accuracy and completeness is a manual, time-consuming, and potentially error-prone process due to medical terminologies mismatch and conceptual variance

Solution Overview

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Built a custom NLP pipeline to parse different documents involved in a study like Protocol documents, Consent forms, etc.

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Defined and followed a universal structure for documents to ease interpretation by NLP packages.

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Designed a dashboard to upload the documents for the automated compare and review the results.

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Extracted relevant sections of the different documents. Example: adverse symptoms section of protocol document and that of consent form, then performed syntactic and semantic analysis to compare them and reported if they match and if they have same entities, noun and verb phrases.

Impact

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Ease document multi-level comparison

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Automation of comparison process to reduce medical terminology errors and enable end-user understanding

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