Sold by: John Snow Labs
Deployed on AWS
This data package contains summaries of evidence-based clinical practice guidelines which are intended to optimize patient care that is informed by a systematic review of evidence and an assessment of the benefits and harms of alternative care options.
Overview
Overview
NGC (National Guideline Clearinghouse) data package consists of summaries containing information from clinical practice guidelines. NGC is an initiative of the Agency for Healthcare Research and Quality (AHRQ), U.S. Department of Health and Human Services. NGC supports AHRQ's mission to produce evidence to make health care safer, higher quality, more accessible, equitable, and affordable by providing objective, detailed information on clinical practice guidelines, and to further their dissemination, implementation, and use in order to inform health care decisions.
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 on AWS. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
Metadata
| Description | Value |
|---|---|
| Data Package Complexity | Simple |
| Available Enrichments | N/A |
| Keywords | Clinical Guidelines, Practice Guidelines, Guideline Attributes, Inclusion Criteria, Guideline Summary, MESH Terminology |
| Other Titles | NGC Guideline Summaries, Evidence-based Clinical Practice Guidelines, Guideline Summaries by Clinical Specialty, Guideline Summaries by Category, Guideline Summaries by Intended Users |
Included Datasets
- Clinical Practice Guideline Summaries
This dataset contains summaries of evidence-based clinical practice guidelines. Clinical practice guidelines are statements that include recommendations intended to optimize patient care that is informed by a systematic review of evidence and an assessment of the benefits and harms of alternative care options.
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 info@johnsnowlabs.com .
About Us
John Snow Labs , an AI and NLP for healthcare company, provides state-of-the-art software, models, and data to help healthcare and life science organizations build, deploy, and operate AI projects.
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