Nursing Order Sets|护理实践数据集|临床信息系统数据集

**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]).