Use cases Insurance Seek structured data on value-based care
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Seek structured data on value-based care

Gain continuous insights into value-based care and reimbursement trends — automated intelligence from global regulatory filings and competitors

U.S. Government
National Institutes of Health
U.S. Department of Health and Human Services
+ more sources

8+

Sources monitored

5+

Data fields extracted

Daily

Update cadence

Data sources

What value-based care sources do we read?

We monitor a diverse range of sources to provide insights into value-based care models and reimbursement policies. Our data is sourced from authoritative entities such as CMS, NIH, HHS, KFF, and Health Affairs, ensuring that you receive the most accurate and up-to-date information. These sources track critical elements like policy changes, effective dates, and reimbursement impacts, allowing for a comprehensive understanding of the evolving landscape in healthcare.

U.S. Government National Institutes of Health U.S. Department of Health and Human Services authoritative entities such as CMS NIH HHS KFF Health Affairs

Live embed

Structured dataset

What it finds

What value-based care data does it find?

The structured dataset includes vital columns such as Source, Document Type, Policy/Model, Effective Date, and Reimbursement Impact. This normalized dataset is designed to capture the nuances of value-based care, detailing which providers are affected and summarizing the key points of each regulatory notice. With this data, stakeholders can make informed decisions based on the latest trends and changes in the industry.

Source
Document Type
Policy/Model
Effective Date
Reimbursement Impact

Analysis

Understanding the value-based care dataset

Our dashboard features 12 insightful widgets tailored for healthcare professionals. Key visualizations include the 'Total Value-Based Care Models Identified' metric, a 'Trends in Reimbursement Policy Changes' line chart, and a 'Competitor Payment Terms Comparison' bar chart. These analytical tools help users quickly grasp the current state of value-based care and reimbursement trends, enabling strategic planning and competitive analysis.

When do we get value-based care alerts?

Stay informed with our single enabled alert rule that notifies you of significant changes in value-based care models and reimbursement policies. This feature ensures that you never miss critical updates that could impact your organization. Alerts can be customized to your preferences, providing timely insights directly to your inbox.

View alert setup →

Where does value-based care data go?

Our solution seamlessly integrates with API, Snowflake, and Email, allowing for efficient data management and accessibility. With these integrations, users can easily incorporate our structured data into their existing systems, enhancing their analytical capabilities. This flexibility supports a streamlined workflow for healthcare professionals monitoring reimbursement policies and value-based care models.

Google Sheets CSV API

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 to provide insights into value-based care models and reimbursement policies. Our data is sourced from authoritative entities such as CMS, NIH, HHS, KFF, and Healt...
Where does the extracted data go?
Our solution seamlessly integrates with API, Snowflake, and Email, allowing for efficient data management and accessibility. With these integrations, users can easily incorporate our structured data i...
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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