Nursing Order Sets

**Overview**
Nursing order sets are BPGs (Best Practice Guidelines) that have been converted into specific, action-oriented nursing interventions that can be embedded within a clinical information system or paper-based tool.

**Description**
Nursing order sets are BPGs that have been converted into specific, action-oriented nursing interventions that can be embedded within a clinical information system or paper-based tool. These order sets help to standardize the care provided for a specific patient or client condition, such as pressure ulcers or pain. They also make it easier for nurses to access the best evidence to inform their practice, whenever and wherever they need it.

**Benefits**
- Health-care organizations can derive many benefits from implementing nursing order sets, whether they focus on acute care, home care, long-term care or community care. for example, it takes years for research findings to become a routine part of a nurse’s day-to-day practice. by embedding the evidence-based nursing order sets within clinical information systems and electronic medical records, nurses will immediately have access to the best available evidence at their fingertips, to inform their practice.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Standardized Hospital Admission Orders](https://www.johnsnowlabs.com/marketplace/standardized-hospital-admission-orders)
- This dataset consists of 29 standardized hospital admission orders. These admission orders are developed by the family medicine department of the Scott & White Clinic at College Station, Texas. These orders are updated every two years.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).

**概述**
护理医嘱集是将最佳实践指南（Best Practice Guidelines，BPGs）转化为具体行动导向的护理干预方案，可嵌入临床信息系统或纸质工具使用。

**详细说明**
护理医嘱集是将最佳实践指南（Best Practice Guidelines，BPGs）转化为具体行动导向的护理干预方案，可嵌入临床信息系统或纸质工具使用。此类医嘱集可针对压疮、疼痛等特定患者或就诊者病症，规范护理服务流程；同时便于护士随时随地获取最佳循证依据，以指导临床护理实践。

**优势**
无论聚焦于急诊护理、居家护理、长期护理还是社区护理，医疗机构实施护理医嘱集均可获得多重收益。举例而言，科研成果通常需要多年才能融入护士的日常临床实践；而将循证护理医嘱集嵌入临床信息系统与电子病历后，护士可即刻随手获取当前最佳循证依据，用以指导护理工作。

**授权信息**
约翰·斯诺实验室（John Snow Labs）数据集可免费用于个人学习与科研用途。商业使用需前往约翰·斯诺实验室官网订阅[数据资源库（Data Library）](https://www.johnsnowlabs.com/marketplace/)，订阅后可商用所有约翰·斯诺实验室数据集与数据包。

**包含数据集**
- [标准化住院入院医嘱](https://www.johnsnowlabs.com/marketplace/standardized-hospital-admission-orders)
- 该数据集包含29项标准化住院入院医嘱，由德克萨斯州大学城的斯科特·怀特诊所（Scott & White Clinic at College Station, Texas）家庭医学科开发，每两年更新一次。

**数据工程概览**
**我们提供高质量数据**
- 每份数据集均通过三级质量审核：
1. 由领域专家完成2次人工审核；
2. 随后通过60余项自动化验证流程，确保所有数据均符合元数据与既定约束规则。
- 数据将被归一化至统一类型系统：
- 所有日期、单位、编码、货币格式均保持统一；
- 所有空值均归一化为标准空值标识；
- 所有数据集与字段名称均符合SQL与Hive语法规范。
- 数据与元数据：
- 数据以CSV与Apache Parquet两种格式提供，针对分布式Hadoop、Spark及大规模并行处理（Massively Parallel Processing，MPP）集群的高读取性能做了优化；
- 元数据采用开放的Frictionless Data标准，所有字段均经过归一化与验证。
- 数据更新：
- 数据更新采用替换式更新机制：过时的外键将被标记为废弃，而非直接删除。

**数据集由领域专家精心甄选并完成富集加工**
每份数据集均由我们的医生、药剂师、公共卫生与医疗计费专家团队人工甄选：
- 字段名称、描述与归一化值均由真正理解其含义的专业人员选定；
- 医疗与生命科学领域专家会为每份数据集添加分类、搜索关键词、描述等信息；
- 针对临床编码、医疗服务提供者、药品及地理定位信息，同时支持人工与自动化富集处理；
- 即便数据源需手动获取更新，数据也将始终保持最新状态；
- 数据订阅者可直接获得负责甄选数据集的领域专家支持；
- 所有数据源的授权均经过人工审核，确保可免版权费进行商用与再分发。

**需要帮助？**
若您对我们的产品有疑问，请发送邮件至[[e-mail]](mailto:[e-mail]).

搜集汇总

背景与挑战

背景概述

该数据集包含基于最佳实践指南转换的具体护理操作集，旨在标准化特定病患状况的护理流程，并便于护士快速获取循证实践指导。数据经过严格的质量审核和专家规范化处理，支持多种格式和商业用途许可。