Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges.

Adrian Wong; Joseph M Plasek; Steven P Montecalvo; Li Zhou

Review

Emerging Classic

Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges.

September 5, 2018

Wong A, Plasek JM, Montecalvo SP, et al. Pharmacotherapy. 2018;38(8):822-841.

View more articles from the same authors.

Natural language processing (NLP) can efficiently analyze large narrative data sets to identify adverse events. Exploring the application of NLP to reduce medication errors, this AHRQ-funded review describes challenges associated with using NLP to extract information from clinical sources and highlights how engaging pharmacists in developing NLP systems can improve medication safety.

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Medication Errors/Preventable Adverse Drug Events

Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges.

Remote Response Team and Customized Alert Settings Help Improve Management of Sepsis

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