医信观察 · MED IT
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NCAIP 还有望每周节省 850 个药师工时。

NCAIP is also expected to free up 850 pharmacist hours a week.

Healthcare Asia Magazine··约 4 分钟阅读
译文1,795 字

新闻医疗保健本刊记者新加坡发布于:

5天前1468次浏览/ National University Health System (NUHS) NUHS 预计新的 AI 药房平台每年可节省 200 万美元NCAIP 还有望每周节省 850 个药师工时。

新加坡的 National University Health System(NUHS)预计,其全新的人工智能(AI)药房平台在全面部署后,每年可节省高达 200 万美元。

NUHS Cluster AI in Pharmacy 平台(NCAIP)整合了四款 AI 工具,支持药物重整、处方分诊和核验。

该平台还有望每周节省 850 个药师工时。

这是因为该卫生系统的药师目前每周花费超过 350 小时用于药物重整,190 小时用于常规处方分诊和咨询,以及 310 小时用于住院患者药物核验。

NUHS 表示,在初始阶段,MedTriage 工具预计每周可节省多达 94 个工作小时,相当于每年节省 229,690 美元。

它补充说,NCAIP 还可以减少现场配药最多达 20%,从而让药师能够优先为需要帮助或咨询的患者提供服务。

该系统整合并分析来自多个来源的数据,为每位患者提供统一视图。

NUHS 表示,该平台将来可支持更多药房 AI 工具的测试和部署。

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原文4,176 字符

News Healthcare Staff Reporter Singapore Published:

5 days ago 1468 views / National University Health System (NUHS) NUHS projects $2m annual savings from new AI pharmacy platform NCAIP is also expected to free up 850 pharmacist hours a week.

Singapore's National University Health System (NUHS) expects its new artificial intelligence (AI)-powered pharmacy platform to save up to as much as $2m annually once fully deployed.

The NUHS Cluster AI in Pharmacy platform (NCAIP) brings together four AI tools supporting medication reconciliation, prescription triage, and verification.

The platform is also expected to free up 850 pharmacist hours a week.

This comes as the health system’s pharmacists currently spend over 350 hours a week on medication reconciliation, 190 hours on routine prescription triage and counselling, and 310 hours on inpatient medication verification.

In the initial phase, NUHS said the MedTriage tool is expected to save up to 94 working hours a week, equivalent to $229,690 in annual cost savings.

It added that NCAIP could also reduce

in-person dispensing by up to 20%, allowing pharmacists to prioritise patients who require assistance or counselling.

The system integrates and analyses data from multiple sources to provide a unified view of each patient.

NUHS said the platform can support the testing and deployment of additional pharmacy AI tools over time.

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