We make it easy to work with open drug data
Open drug data holds a lot of value, but it’s difficult to work with. We are pharmacist developer hybrids reducing the barrier to entry by building an open-source drug data platform.
An open drug data platform designed and curated by pharmacists
We have felt the pain of working with raw open drug data while building software and want to make it better for everyone. There should be an easy to access source of truth for drug information that everyone can easily get started using.
Primary features
We know there are several options available for working with drug data, but we think these features set us apart.
Automated ELT
We automate the generation of a data warehouse containing open drug data pulled from many sources and transform that raw data into a variety of data marts.
Modern tech stack
Our data marts are available to download from modern cloud providers such as AWS s3 and GCS buckets. They are also available to query directly in Google BigQuery.
Open source
All our code and methodology is open source and well documented. We welcome debate (and contributions!) about the best and safest ways to work with open drug data.
Available data marts
Browse a selection of our available data marts. We can also create custom data marts to meet your needs.
Products
You can think of a drug product as something a patient might be prescribed. It usually represents the concept of an ingredient, strength, and dose form.
Product details
- Description
- Ingredient(s)
- Strength(s) of ingredients
- Brand vs generic indicator
- Controlled substance classification
Products to inactive ingredients
- Drug products can have many inactive ingredients
- Inactive ingredients can be important for patients with allergies
- Inactive ingredients may play a factor in drug supply chain issues
NDCs
A single drug product can be manufactured at dozens of facilities by different companies. Each one of those can give their own product a different NDC.
All NDCs and descriptions
- A comprehensive dictionary of NDCs is critical for almost anyone working with drug data. We get our list from 5 different sources and compile them in such a way to prefer certain sources over others.
- Wherever possible, we provide a map to an RxNorm normalized product description and product-level RXCUI. Otherwise, we provide a somewhat normalized FDA product description.
NDCs to inactive ingredients
- Inactive ingredients in drug products can be important for people with certain allergies, medical conditions, and other reasons. They can also play a role in drug shortages.
- We provide an easy to use mapping of NDC to inactive ingredients and normalize the inactive ingredient name, as well as provide a link to PubChem.
Pricing
Drug pricing in the U.S. is convoluted and intentionally obfuscated. We make what little publicly available drug pricing data that exists as easy as possible to understand and use.
NADAC pricing over time
- NADAC is the most reliable open indicator of drug acquisition costs in the U.S. This mart makes it easy to trend NADAC prices over time, going back to 2013 when NADAC began.
Trusted by health tech startups and major universities
Check out some of the use cases that already depend on data marts generated by CodeRx.
Drug product catalog design, build, and maintenance
Using only open data sources from FDA, NLM, and CMS, we were able to populate a database with all of the required drug fields to power a SaaS pharmacy marketplace.
Terminology mapping with RxNorm using FHIR data
We helped integrate FHIR data into an algorithm that required mapping product-level RxNorm RXCUIs to component ingredients and even precise ingredients.
Data engineering FDA drug recall data at the excipient level
Ever wonder if drug recalls could be predicted based on the inactive ingredients in a meditation? Probably not, but it’s a potential factor in drug shortages.
Pharmacy claims data analytics beyond the NDC level
Claims data generally only contains NDC-level codes for drugs. We help aggregate these claims by drug product and drug class to facilitate drug-related analytics.
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