- Overview
- Datasets
- Providers
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- FAQ
What is Medical Claims Data?
Medical claims data is information collected and stored by healthcare providers and insurance companies regarding the services and treatments provided to patients. It includes details such as diagnoses, procedures, medications, and costs associated with healthcare services. This data is used for various purposes, including billing, reimbursement, research, and analysis to improve healthcare delivery and outcomes.
Medical claims data refers to the information collected from health insurance claims, which includes details about the services provided to patients, such as diagnoses, procedures, and costs. Examples of medical claims data include the healthcare claims dataset, medical claims dataset, and healthcare claims data sample. This data is used for various purposes, including healthcare research, policy analysis, and identifying patterns and trends in healthcare utilization and costs. In this page, you’ll find the best data sources for medical claims data, including claims data vendors and reliable datasets.
Best Medical Claims Databases & Datasets
Here is our curated selection of top Medical Claims Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Hagimo // US Medical Providers // ~6.6M Providers, contact, credentials, specialties, more
Healthcare Data- Healthcare Contact Data, Healthcare Professionals Data, Scrape All Publicly Available Healthcare Related Data's | 50% Cost Saving
UK Non-life Insurer Underwriting Performance Data
Synthetic Dataset for AI - Jpeg, PNG & PDF
Syntegra Synthetic EHR Data | Structured Healthcare Electronic Health Record Data
Gibraltar Non-life Insurer Underwriting Performance Data
Synthetic Document Dataset for AI - Jpeg, PNG & PDF formats
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Top Medical Claims Data Providers & Companies
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Medical Data Vision
CoverageJapan“Medical Data Vision (MDV)” was named to achieve the vision of improving medical and healthcare in Japan through the usage of large volume real-world data. In order to effectively use medical and healthcare data, information and communication technologies are required.PatientFull demographyTherapyExplore the Patient JourneyDiseaseDatamining power -
Dataplex
CoverageUSAUK+248Dataplex Consulting & Data Products offers top-notch, turnkey data products, making data easily accessible for any business. Our data pipelines feature automatic quality checks and active monitoring, ensuring timely, clean, and high-quality data designed for seamless ingestion.50B+ RowsComprehensive DatasetsClassifyAI EnrichedFrom 2007+Historical -
Syntegra
CoverageUSASyntegra creates accurate, privacy-guaranteed synthetic data that bridges the gap between data privacy and data science needs in healthcare, enabling a more data-centric approach to innovation in patient care and improved clinical outcomes. -
Diaceutics
At Diaceutics we believe that every patient should have access to the right treatment at the right time We provide the world’s leading pharmaceutical companies with an end-to-end solution for the launch of precision medicine diagnostics enabled by DXRX – The Diagnostic Network®
Main Attributes of Medical Claims Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The first name of a contact. | View 1 datasets | |
| String | The last name (surname) of a contact. | View 1 datasets | |
| String | The middle name of a contact. | View 1 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 1 datasets |
Frequently Asked Questions
How is the Quality of Medical Claims Data Maintained?
The quality of Medical Claims Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Medical Claims Data Updated?
The update frequency for Medical Claims Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Medical Claims Data Secure?
The security of Medical Claims Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Medical Claims Data Delivered?
Medical Claims Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Medical Claims Data.
How Much Does Medical Claims Data Cost?
The cost of Medical Claims Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Medical Claims Data for your needs.
