Use cases Insurance Continuous data on drug formularies and trials
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Continuous data on drug formularies and trials

Access real-time insights on drug formularies and reimbursement trends — automated intelligence without the manual effort

U.S. Government
Food and Drug Administration
National Institutes of Health
+ more sources

8+

Sources monitored

8+

Data fields extracted

Daily

Update cadence

Data sources

What prescription drug sources do we read?

We monitor a diverse range of sources including cms.gov, fda.gov, clinicaltrials.gov, drugchannels.com, and pharmacytimes.com. These platforms provide critical insights into emerging prescription drug formularies, reimbursement changes, and clinical trial results from competitor insurance providers. By aggregating data from these reputable sources, we ensure that you have access to the most relevant and timely information in the pharmaceutical landscape.

U.S. Government Food and Drug Administration National Institutes of Health cms

Live embed

Structured dataset

What it finds

What prescription drug data does it find?

Our structured dataset includes essential columns such as id, Source, Provider, Formulary, Drug, Reimbursement, Coverage Effective, Last Updated, and Status. This comprehensive data allows for a nuanced understanding of how different drugs are categorized and reimbursed, as well as their current status in the market. With this information, you can track trends and make informed decisions based on the latest developments.

Source
Provider
Formulary
Drug
Reimbursement
Coverage Effective
Last Updated
Status

Analysis

Understanding the prescription drug analysis dataset

The dashboard features a variety of analytical widgets designed to provide clear insights into the monitored data. Key metrics include Total Formularies Monitored, Total Clinical Trials Recorded, and Reimbursement Changes by Type, presented through engaging formats like donut charts and line graphs. Additionally, you can explore insights on Emerging Drug Trends Over Time and view Recent Clinical Trial Results in a detailed table format.

When do we get prescription drug alerts?

Stay informed with our enabled alert rule that notifies you of significant changes in the monitored data. Whether it's a new reimbursement update or a crucial clinical trial result, you will receive timely alerts directly to your preferred communication channel. This ensures that you never miss an important development in the pharmaceutical landscape.

View alert setup →

Where does prescription drug data go?

Our product seamlessly integrates with various platforms, including API, Snowflake, and Email, allowing you to easily incorporate the monitored data into your existing workflows. With 12 integrations available, you can streamline your data management processes and enhance collaboration across teams. This flexibility ensures that you can access and utilize the information in a way that best suits your operational needs.

API Snowflake Email

FAQ

Frequently asked questions

Is Jsonify just a web scraping tool?
No. Jsonify delivers structured market intelligence, not raw HTML. The platform extracts, normalizes, and analyzes public data to produce clean, typed datasets ready for analysis.
How often is the data updated?
Update cadence depends on the monitoring workflow. Most use cases refresh daily or weekly. Alerts can be triggered in near-real-time when significant changes are detected.
What sources are covered for this use case?
We monitor a diverse range of sources including cms.gov, fda.gov, clinicaltrials.gov, drugchannels.com, and pharmacytimes.com. These platforms provide critical insights into emerging prescription drug...
Where does the extracted data go?
Our product seamlessly integrates with various platforms, including API, Snowflake, and Email, allowing you to easily incorporate the monitored data into your existing workflows. With 12 integrations ...
Can I customize which data fields are extracted?
Yes. Every Jsonify deployment is configured to your specific requirements. You define which signals, fields, and geographies matter, and the pipeline is built around those parameters.

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