Medical Record Data Extraction for a Real-World Data Provider

Published: April 10, 2024

Learn how a real-world data provider was able to increase efficiency & reduce costs of operations by partnering with Reveal.

So Many Medical Records, So Little Time

Our client was finding it increasingly challenging to manage unstructured medical records, particularly due to manual processes. Extracting clinical insights from this data consumed considerable time. Moreover, the ongoing expansion of medical records underscored the pressing need for efficient techniques to extract valuable information from them.

Bringing Method to the Madness

After analyzing the problems in partnership with the client, Reveal built a proof-of-concept model for medical entity extraction. It was developed using SparkNLP and other open-source natural language processing (NLP) models. Reveal also evaluated and compared the performance of multiple third-party commercial NLP service for consideration as potential vendors.

Building Trust & Efficiency

Following the proof-of-concept development from Reveal, our client was able to successfully extract valuable insights from unstructured data. They observed significant improvements in efficiency and reduced operational costs. Consequently, the client has chosen to continue their partnership with the vendor recommended by Reveal.

To learn how Reveal HealthTech can help your company, contact out team.

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