IT-enabled medicine dispensing in the community pharmacy: an action design research project.

IF 2.2 Q4 HEALTH POLICY & SERVICES
Health Systems Pub Date : 2026-01-18 eCollection Date: 2026-01-01 DOI:10.1080/20476965.2025.2591042
João Barata, Mateus Mendes, Ana Paula Melo Santos, Maria João Melo Neves, Kamil Woźniak, Anna Drozdz, José Sousa
{"title":"IT-enabled medicine dispensing in the community pharmacy: an action design research project.","authors":"João Barata, Mateus Mendes, Ana Paula Melo Santos, Maria João Melo Neves, Kamil Woźniak, Anna Drozdz, José Sousa","doi":"10.1080/20476965.2025.2591042","DOIUrl":null,"url":null,"abstract":"<p><p>This paper presents a community pharmacy information system to assist with medication dispensing and monitoring medication adherence. The proposed prototype uses artificial intelligence (AI), cloud, and mobile technology to support patient medication records, reduce medication errors when preparing pillboxes, and provide personalized information to end-users. Action design research was selected to understand how innovative dispensing processes can be deployed in community pharmacies. The results include design guidelines for AI-enabled medicine dispensing and an evaluation of digital transformation success factors in this vital healthcare sector. AI-enabled systems can contribute to (1) prevent errors in filling pillbox compartments, (2) provide an additional cross-check in medication dispensing, and (3) identify medication adherence problems in more demanding scenarios of institutions with multiple patients. However, there are also relevant challenges, making the replacement of non-critical manual tasks, complementary checkpoints, and pre-validation stages of medicine dispensing the most promising use cases for artificial intelligence adoption.</p>","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"15 2","pages":"174-187"},"PeriodicalIF":2.2000,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188575/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20476965.2025.2591042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a community pharmacy information system to assist with medication dispensing and monitoring medication adherence. The proposed prototype uses artificial intelligence (AI), cloud, and mobile technology to support patient medication records, reduce medication errors when preparing pillboxes, and provide personalized information to end-users. Action design research was selected to understand how innovative dispensing processes can be deployed in community pharmacies. The results include design guidelines for AI-enabled medicine dispensing and an evaluation of digital transformation success factors in this vital healthcare sector. AI-enabled systems can contribute to (1) prevent errors in filling pillbox compartments, (2) provide an additional cross-check in medication dispensing, and (3) identify medication adherence problems in more demanding scenarios of institutions with multiple patients. However, there are also relevant challenges, making the replacement of non-critical manual tasks, complementary checkpoints, and pre-validation stages of medicine dispensing the most promising use cases for artificial intelligence adoption.

社区药房的资讯科技配药:行动设计研究计划。
本文提出了一个社区药房信息系统,以协助药物分配和监测药物依从性。拟议的原型使用人工智能(AI)、云和移动技术来支持患者用药记录,减少准备药箱时的用药错误,并向最终用户提供个性化信息。选择行动设计研究来了解如何在社区药房部署创新的配药流程。研究结果包括人工智能药物配药的设计指南,以及对这一重要医疗保健部门数字化转型成功因素的评估。启用人工智能的系统可以有助于(1)防止药箱填充错误,(2)在药物分配中提供额外的交叉检查,以及(3)在有多名患者的机构的更苛刻的情况下识别药物依从性问题。然而,也存在相关的挑战,使得替代非关键的手动任务、补充检查点和药物分发的预验证阶段成为人工智能应用最有前途的用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Health Systems
Health Systems HEALTH POLICY & SERVICES-
CiteScore
4.20
自引率
11.10%
发文量
20
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书