在药店查找处方药的框架。

IF 2.1 Q3 PHARMACOLOGY & PHARMACY
Matiwos Tekalign Wondmagegn, Evarist Nabaasa, Endashaw Amsalu Melesse, Ewunate Assaye Kassaw
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引用次数: 0

摘要

导言:在药店获得可用药物是发展中国家卫生部门的核心问题之一。最佳获取药房可用药物的机制尚不清楚。通常,由于缺乏提供所需药物的药店的位置信息,有需要的患者被迫随意地在药店之间切换以寻找处方药。目的:本研究的主要目的是开发一个框架,以简化在寻找处方药时识别和定位最近药房的过程。方法:通过文献分析确定从药店获取所需处方药的主要制约因素(距离、药品成本、出行时间、出行成本、药店营业时间),并利用患者与药店的经纬度坐标寻找距离最近且有所需处方药库存的药店。结果:开发了带有web应用程序的框架,并在模拟患者和药房上进行了测试,成功地优化了确定的约束条件。讨论:该框架将潜在地减少患者的费用并防止获得药物的延误。它还将为未来的药房和电子卫生信息系统作出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Framework for Locating Prescribed Medication at Pharmacies.

A Framework for Locating Prescribed Medication at Pharmacies.

A Framework for Locating Prescribed Medication at Pharmacies.

A Framework for Locating Prescribed Medication at Pharmacies.

Introduction: Accessibility of available medication at pharmacies is one of the core problems in the health sector of developing countries. The mechanism for optimally accessing the available drugs in pharmacies is unclear. Usually, patients in need are compelled to haphazardly switch between pharmacies in search of their prescription medications due to lack of information about the locations of pharmacies with required drug.

Objective: The primary objective of this study is to develop a framework that will simplify the process of identifying and locating nearest pharmacy when searching for prescribed medications.

Methods: Primary constraints (distance, drug cost, travel time, travel cost, opening and closing hours of pharmacies) in accessing required prescribed medications from pharmacies were identified from literature, and the client's and pharmacies' latitude and longitude coordinates were used to find the nearest pharmacies that have the required prescribed medication in stock.

Results: The framework with web application was developed and tested on simulated patients and pharmacies and was successful in optimizing the identified constraints.

Discussions: The framework will potentially reduce patient expenses and prevent delays in obtaining medication. It will also contribute for future pharmacy and e-Health information systems.

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来源期刊
自引率
3.40%
发文量
29
审稿时长
16 weeks
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