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Artificial intelligence-based conversational agent to support medication prescribing.

Anita M Preininger1, Brett South1, Jeff Heiland1

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Summary
This summary is machine-generated.

Watson Assistant (WA), an AI conversational agent in Micromedex, successfully linked most user queries to intents. Ongoing training aims to enhance WA's scope and improve its medication information retrieval capabilities.

Keywords:
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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Decision Support

Background:

  • Micromedex is a widely used clinical reference system.
  • Natural language processing (NLP) offers potential for improved information retrieval.
  • Conversational agents can enhance user interaction with complex databases.

Purpose of the Study:

  • To describe the system architecture, training, initial use, and performance of Watson Assistant (WA) within Micromedex.
  • To evaluate the accuracy and efficiency of WA in mapping user queries to relevant intents.
  • To compare WA's performance against traditional keyword searches.

Main Methods:

  • Examined the number and frequency of intents triggered by WA during initial use.
  • Compared intents triggered over 9 months to keyword search frequencies in Micromedex.
  • Assessed the accuracy of WA's intent assignments for 400 queries against subject matter expert (SME) evaluations, measuring inter-rater reliability using Cohen's kappa.

Main Results:

  • Over 126,000 conversations showed intents for dosing (23.9%) and administration (11.5%) were most frequent.
  • Subject matter experts agreed with WA's intent mapping for 62% of queries (kappa=0.71).
  • Of answerable queries (288), 80% were correctly linked to an intent; 14% were unanswerable due to ambiguity or unavailable content.

Conclusions:

  • Watson Assistant successfully linked most user queries to intents within Micromedex.
  • The conversational agent facilitated access to a broader range of topics compared to keyword searches.
  • Continuous system training is essential for expanding WA's scope and refining its matching capabilities.