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Accepted for/Published in: JMIR Cancer

Date Submitted: Dec 5, 2024
Date Accepted: Feb 20, 2025

The final, peer-reviewed published version of this preprint can be found here:

Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition

Yanagisawa Y, Watabe S, Yokoyama S, Sayama K, Kizaki H, Tsuchiya M, Imai S, Someya M, Taniguchi R, Yada S, Aramaki E, Hori S

Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition

JMIR Cancer 2025;11:e69663

DOI: 10.2196/69663

PMID: 40068144

PMCID: 11937706

Identifying Adverse Events in Outpatients with Prostate Cancer by Application of Named Entity Recognition to Pharmaceutical Care Records in Community Pharmacies

  • Yuki Yanagisawa; 
  • Satoshi Watabe; 
  • Sakura Yokoyama; 
  • Kyoko Sayama; 
  • Hayato Kizaki; 
  • Masami Tsuchiya; 
  • Shungo Imai; 
  • Mitsuhiro Someya; 
  • Ryoo Taniguchi; 
  • Shuntaro Yada; 
  • Eiji Aramaki; 
  • Satoko Hori

ABSTRACT

Background:

Androgen receptor axis-targeting agents (ARATs) are taken over a long period on an outpatient basis, and community pharmacists play an important role in monitoring adverse events (AEs).

Objective:

This study aimed to evaluate whether application of the Named Entity Recognition (NER) system to pharmaceutical care records generated by community pharmacists can effectively and systematically identify AEs in outpatients undergoing ARAT therapy.

Methods:

In order to evaluate its performance, the NER system was first applied to 1,008 assessment notes in pharmaceutical care records generated by community pharmacists in relation to prescriptions for anticancer drugs. The results were compared with the annotated notes and evaluated. Then, the system was applied to 2,584 assessment notes of patients prescribed ARATs.

Results:

We first verified that the NER system was able to assign symptom tags to the 1,008 assessment notes by checking concordance with annotations by three pharmaceutically proficient researchers according to established guidelines. The F1 score for exact matches of all symptom tags between the NER system and the annotators was 0.72. Then we applied the system to 2,584 assessment notes of patients prescribed ARATs. The system assigned tags indicating symptoms related to AEs in patients prescribed ARATs, such as “Skin disorders”, “Fatigue”, and “Gastrointestinal symptoms”, in more than 90% of the pharmaceutical care records. More than half of the identified symptoms were negative, and many others were classified as serious AEs.

Conclusions:

The NER system successfully extracted AEs from pharmaceutical care records of patients prescribed ARATs, demonstrating its potential to systematically track both the presence and absence of AEs in outpatients. Community pharmacists not only detected potential AEs, but also actively monitored the absence of severe AEs, offering valuable insights for continuous patient safety management.


 Citation

Please cite as:

Yanagisawa Y, Watabe S, Yokoyama S, Sayama K, Kizaki H, Tsuchiya M, Imai S, Someya M, Taniguchi R, Yada S, Aramaki E, Hori S

Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition

JMIR Cancer 2025;11:e69663

DOI: 10.2196/69663

PMID: 40068144

PMCID: 11937706

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