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.

IF 2.1 4区 医学 Q3 NUTRITION & DIETETICS
Alisha Harmeson Owen, Ameena Husain, David ElHalta, Suzie A Chen, Jennifer Spackman, Jennifer Murphy, Belinda Chan
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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.

将电子病历从文档应用程序转变为自动饮食程序,通过改进流程实现新生儿营养个性化并提高喂养管理安全性。
为早产儿和患病新生儿提供充足的营养对其生长至关重要。新生儿重症监护室(NICU)中的婴儿需要额外的热量来补充喂养,以满足更高的新陈代谢需求。传统上,临床医生输入自由文本的饮食指令,由乳品技术员制定食谱,营养师手动计算营养成分以监测生长。这样的日常工作既复杂又耗费人力,还可能出错。我们的目标是开发一种集成电子健康记录 (EHR) 的解决方案,用于输入带有自动营养计算和混合说明的喂养指令。我们在一家拥有 52 张床位的三级学术重症监护病房创建并实施了电子病历集成自动饮食程序 (ADP)。电子病历中肠外营养订单项目的配置经调整后可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。为提高用药安全,用电子生成的可扫描病人标签取代了手写的奶瓶病人标签。通过计算营养强化剂粉末置换系数来提高混合精度,进一步增强了程序的功能。订单输入经过优化,可以输入更复杂的混合配方,并包含一份经常订购饲料的偏好列表。EHR-ADP 的保护功能可捕捉到多个差点遗漏的喂养管理错误。新生儿重症监护室早产新生儿队列在实施该系统后,住院时间平均缩短了 6 天(P = 0.01),同时体重增长速度保持不变。电子病历-ADP可提高安全性和效率;要证明个性化营养对成长的益处,还需要进一步的改进和更广泛的应用。
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来源期刊
CiteScore
6.00
自引率
9.70%
发文量
128
审稿时长
3 months
期刊介绍: NCP is a peer-reviewed, interdisciplinary publication that publishes articles about the scientific basis and clinical application of nutrition and nutrition support. NCP contains comprehensive reviews, clinical research, case observations, and other types of papers written by experts in the field of nutrition and health care practitioners involved in the delivery of specialized nutrition support. This journal is a member of the Committee on Publication Ethics (COPE).
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