Risk Assessment of Pharmacies & Electronic Prescriptions

2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Pub Date : 2019-08-01 DOI:10.1145/3341161.3343697

Michelle Bowman, Subrata Acharya

{"title":"Risk Assessment of Pharmacies & Electronic Prescriptions","authors":"Michelle Bowman, Subrata Acharya","doi":"10.1145/3341161.3343697","DOIUrl":null,"url":null,"abstract":"Software for electronic prescriptions offers healthcare providers numerous benefits including increased patient safety, prescribing effectiveness, workflow efficiencies, and financial savings. Particularly due to recent legislation, an increasing number of organizations are adopting this software. Yet, there are many concerns and risks associated with e-prescription technologies. Despite increased prescribing effectiveness, there is still the potential for human error. Many software concerns including integration and the implementation of specific transactions like CancelRx still need to be addressed. Additionally, some patients have negative perceptions of e-Rx that must be overcome. To this effect, this research conducts risk assessment of two real world cases (the CVS Pharmacy (retail setting) and the Ascension Seton (inpatient setting)) using the NIST risk model. The study concludes that the top three challenges in the pharmacy domain are comprised of a lack in the implementation of essential software functionalities, the loss and theft of portable devices, and errors due to email phishing attacks.","PeriodicalId":403360,"journal":{"name":"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3341161.3343697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Software for electronic prescriptions offers healthcare providers numerous benefits including increased patient safety, prescribing effectiveness, workflow efficiencies, and financial savings. Particularly due to recent legislation, an increasing number of organizations are adopting this software. Yet, there are many concerns and risks associated with e-prescription technologies. Despite increased prescribing effectiveness, there is still the potential for human error. Many software concerns including integration and the implementation of specific transactions like CancelRx still need to be addressed. Additionally, some patients have negative perceptions of e-Rx that must be overcome. To this effect, this research conducts risk assessment of two real world cases (the CVS Pharmacy (retail setting) and the Ascension Seton (inpatient setting)) using the NIST risk model. The study concludes that the top three challenges in the pharmacy domain are comprised of a lack in the implementation of essential software functionalities, the loss and theft of portable devices, and errors due to email phishing attacks.

查看原文本刊更多论文

药店风险评估与电子处方

电子处方软件为医疗保健提供商提供了许多好处，包括提高患者安全性、处方有效性、工作流程效率和节省资金。特别是由于最近的立法，越来越多的组织正在采用该软件。然而，与电子处方技术相关的问题和风险很多。尽管提高了处方的有效性，但仍然存在人为错误的可能性。许多软件问题，包括集成和实现特定的事务，如CancelRx，仍然需要解决。此外，一些患者对e-Rx有负面看法，必须克服。为此，本研究使用NIST风险模型对两个真实案例(CVS Pharmacy(零售环境)和Ascension Seton(住院环境))进行了风险评估。该研究得出结论，药房领域面临的三大挑战包括缺乏基本软件功能的实现、便携式设备的丢失和被盗，以及电子邮件网络钓鱼攻击造成的错误。

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

2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

自引率

0.00%

发文量