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Description

To protect sensitive information, including personally identifiable information (PII), organizations must implement techniques such as pseudonymization and anonymization for secondary purposes like comparative effectiveness studies, policy evaluations, and research in life sciences. This process is essential as businesses amass vast quantities of data to detect patterns, understand customer behavior, and foster innovation. Compliance with regulations like HIPAA and GDPR mandates the de-identification of data; however, the difficulty lies in the fact that many de-identification tools prioritize the removal of personal identifiers, often complicating subsequent data usage. By transforming PII into forms that cannot be traced back to individuals, employing data anonymization and pseudonymization strategies becomes crucial for maintaining privacy while enabling robust analysis. Effectively utilizing these methods allows for the examination of extensive datasets without infringing on privacy laws, ensuring that insights can be gathered responsibly. Selecting appropriate de-identification techniques and privacy models from a wide range of data security and statistical practices is key to achieving effective data usage.

Description

On-demand patient identity resolution is achieved by efficiently mastering and connecting data in real-time. By converting protected health information into universal, de-identified HealthVerity IDs, organizations within the life sciences sector can effectively construct and disseminate the patient journey across various partner datasets, thereby establishing a unified source of truth regarding patient identity. This approach also facilitates internal data sharing among different organizational departments, enhancing the overall understanding of the patient journey. Furthermore, it allows for adaptable external data exchanges with entities such as patient registries, health insurers, and other associated companies. HealthVerity Census serves as an initial step toward developing a data strategy focused on activation, interoperability, and the longitudinal tracking of patient information. Utilizing an advanced PaaS de-identification solution, it empowers the activation of both internal and external data touchpoints, breaking down silos that often isolate critical information within the enterprise. These comprehensive capabilities ultimately contribute to improved patient outcomes and more informed decision-making across the healthcare landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fasoo

Country

United States

Website

en.fasoo.com/products/analyticdid/

Vendor Details

Company Name

HealthVerity

Founded

2015

Country

United States

Website

healthverity.com/solutions/healthverity-census/

Product Features

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