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将电子健康记录从一个文档应用程序转变为一个自动化饮食计划,通过流程改进实现新生儿营养个性化并提高喂养管理安全性。

Transforming the electronic health record from a documentation application to an automated diet program for personalizing neonatal nutrition and improving feeding administration safety through process improvement.

作者信息

Owen Alisha Harmeson, Husain Ameena, ElHalta David, Chen Suzie A, Spackman Jennifer, Murphy Jennifer, Chan Belinda

机构信息

Clinical Nutrition, University of Utah, Salt Lake City, Utah, USA.

Division of Neonatology, Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.

出版信息

Nutr Clin Pract. 2025 Feb;40(1):252-265. doi: 10.1002/ncp.11212. Epub 2024 Sep 22.

Abstract

Delivering adequate nutrition to preterm and sick neonates is critical for growth. Infants in the neonatal intensive care unit (NICU) require additional calories to supplement feedings for higher metabolic demands. Traditionally, clinicians enter free-text diet orders for a milk technician to formulate recipes, and dietitians manually calculate nutrition components to monitor growth. This daily process is complex and labor intensive with potential for error. Our goal was to develop an electronic health record (EHR)-integrated solution for entering feeding orders with automated nutrition calculations and mixing instructions. The EHR-integrated automated diet program (ADP) was created and implemented at a 52-bed level III academic NICU. The configuration of the parenteral nutrition orderable item within the EHR was adapted to generate personalized milk mixing recipes. Caloric, macronutrient, and micronutrient constituents were automatically calculated and displayed. To enhance administration safety, handwritten milk bottle patient labels were substituted with electronically generated and scannable patient labels. The program was further enhanced by calculating fortifier powder displacement factors to improve mixing precision. Order entry was optimized to allow for more complex mixing recipes and include a preference list of frequently ordered feeds. The EHR-ADP's safeguarded features allowed for catching multiple near-missed feeding administration errors. The NICU preterm neonate cohort had an average of 6-day decrease (P = 0.01) in the length of stay after implementation while maintaining the same weight gain velocity. The EHR-ADP may improve safety and efficiency; further improvements and wider utilization are needed to demonstrate the growth benefits of personalized nutrition.

摘要

为早产和患病新生儿提供充足营养对其生长发育至关重要。新生儿重症监护病房(NICU)的婴儿需要额外的热量来补充喂养,以满足更高的代谢需求。传统上,临床医生输入自由文本饮食医嘱,由牛奶技术员制定配方,营养师手动计算营养成分以监测生长情况。这个日常流程复杂且劳动强度大,存在出错的可能性。我们的目标是开发一种集成电子健康记录(EHR)的解决方案,用于输入喂养医嘱并进行自动营养计算和混合说明。在一家拥有52张床位的三级学术NICU创建并实施了集成EHR的自动饮食计划(ADP)。对EHR中肠外营养可订购项目的配置进行了调整,以生成个性化的牛奶混合配方。热量、宏量营养素和微量营养素成分会自动计算并显示出来。为提高给药安全性,手写的奶瓶患者标签被电子生成且可扫描的患者标签所取代。通过计算强化剂粉末置换因子进一步优化了该程序,以提高混合精度。订单输入得到优化,以允许使用更复杂的混合配方,并包括常用喂养的偏好列表。EHR-ADP的安全功能能够发现多个险些发生的喂养给药错误。实施后,NICU早产新生儿队列的住院时间平均缩短了6天(P = 0.01),同时体重增加速度保持不变。EHR-ADP可能会提高安全性和效率;需要进一步改进和更广泛的应用来证明个性化营养对生长的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3172/11713221/3e1d889de620/NCP-40-252-g003.jpg

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