AI Article Synopsis
- The review emphasizes the necessity of integrating machine learning workflows into hospital settings to align with clinical practices and real-world data.
- The paper discusses the development and implementation of a novel clinical NLP service within the UK's National Health Service, focusing on creating a framework to incorporate expert clinical insight into NLP models.
- The project has generated over 26,000 annotations and demonstrated various clinical uses of named entity recognition, suggesting that NLP services will soon be essential in healthcare.
Article Abstract
Purpose Of Review: Embedding machine learning workflows into real-world hospital environments is essential to ensure model alignment with clinical workflows and real-world data. Many non-healthcare industries undergoing digital transformation have already developed data labelling and data quality management services as a vertically integrated business process.
Recent Findings: In this paper, we describe our experiences developing and implementing a first-of-its-kind clinical NLP (natural language processing) service in the National Health Service, United Kingdom using parallel harmonised platforms. We report on our work developing clinical NLP resources and implementation framework to distil expert clinical knowledge into our NLP models. To date, we have amassed over 26,086 annotations spanning 556 SNOMED CT concepts working with secondary care specialties. Our integrated language modelling service has delivered numerous clinical and operational use-cases using named entity recognition (NER). Such services improve efficiency of healthcare delivery and drive downstream data-driven technologies. We believe it will only be a matter of time before NLP services become an integral part of healthcare providers.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11590340 | PMC |
| http://dx.doi.org/10.1186/s12911-024-02713-x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!