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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
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
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/