Artificial Intelligence and Decision Making in Clinical Pharmacy

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https://doi.org/10.30968/jhphs.2025.164.1453

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References

1. Da Silva LC. Artificial intelligence as an extension of pharmaceutical care. J Hosp Pharm Health Serv. 2025;16(3):e1420. doi:10.30968/jhphs.2025.163.1420

2. Santos HDP, Ulbrich AHDP, Woloszyn V, at al. DDC-Outlier: Preventing Medication Errors Using Unsupervised Learning. IEEE J Biomed Health Inform. 2019;23(2):874–881. doi:10.1109/

JBHI.2018.2828028

3. Oliveira JD, Santos HDP, Ulbrich AHDPS, et al. Development and evaluation of a clinical note summarization system using large language models. Commun Med (Lond). 2025;5(1):376. doi:10.1038/s43856-025-01091-3

4. Santos HDP, Silva AP, Maciel MCO, et al. Fall detection in EHR using word embeddings and deep learning. IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE). 2019;v(19):265–268. doi:10.1109/BIBE.2019.00054

5. Ulbrich AHDP, Pinto CB, Turra KM, et al. Avaliação da nefrotoxicidade e cálculo da dose diária de vancomicina em um hospital brasileiro. Cad Ens Pesq Saúde. 2022;2(1):13. doi:10.29327/269776.2.1-13

6. Santos J, Santos HDP, Ulbrich AHDPS, et al. Evaluating LLMs for Diagnosis Summarization. Annu Int Conf IEEE Eng Med Biol Soc. 2024;2024:1-7. doi:10.1109/EMBC53108.2024.10782231

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Published

2025-12-26

How to Cite

1.
ULBRICH AH, DIAS H. Artificial Intelligence and Decision Making in Clinical Pharmacy. J Hosp Pharm Health Serv [Internet]. 2025 Dec. 26 [cited 2026 Jan. 18];16(4):e1453. Available from: https://jhphs.org/sbrafh/article/view/1453

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EDITORIAL

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