Filter By “Technology”

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Referential Data in Datavant Match

Referential data is exactly what it sounds like: a large body of data to which we can refer in the process of matching, a bridge between otherwise disjointed datasets.

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How Feasibility Tools Can Accelerate Data Partnerships | Datavant

Want to accelerate your health data partnerships? Datavant Switchboard now includes feasibility tools that reduce the friction in health data exchange.

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Top 5 Trends in the Healthcare Data Ecosystem

This is a thrilling time to be working in the healthcare industry and with real-world data (RWD) in particular. There is a rapidly growing healthcare data ecosystem, major strides in privacy-preserving methods, growing applications of artificial intelligence (AI) on big healthcare data, and an increasingly open attitude amongst industry stakeholders to use data collaborations to achieve better patient outcomes. 

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How our Security and Compliance Teams Approached Datavant’s FedRAMP® Authorization

FedRAMP provides a standardized approach to security authorizations for cloud service offerings. You could say it’s the mother of all compliance frameworks. We went from having programs like SOC (System and Organization Controls) 2 — Type 2, where we had 50 security controls in place, to FedRAMP Moderate, where we now have 326 controls in place.

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Synthetic Data in Healthcare | Datavant

Synthetic data has the potential to be a critical technology in healthcare, as it enables representative patient data with inherent privacy protection. See more.

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Breaking Through Clinical Research Barriers with Datavant Switchboard’s Medical Record Retrieval

In 2022 we announced the Datavant Switchboard, our core connectivity platform. Today, we are excited to announce that the Datavant Switchboard includes the ability to support patient-mediated record retrieval to power clinical research.

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Creating Usable Linked Patient Registries

Privacy-preserving record linkage tools break down data silos when linking patient registries. Learn which PII to collect for token creation, how to choose platforms that enable linkage, and how to update IRB protocol language.

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Algorithmic Overlap Estimations (part 2)

Evaluating and comparing the estimation algorithms outlined in Part 1 of this post involved curating a diverse set of production datasets that could represent the range of overlap scenarios we’re interested in analyzing. We had previously simplified this as needing to compare

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Patient Matching: Privacy Considerations

Patient matching is critical to improving patient outcomes. Discover how patient health data is linked across the health data ecosystem, providing a holistic view of the patient journey through time.

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