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Announcing Privacy Hub and the Future of Privacy-Preserving Technologies
Learn how Privacy Hub’s privacy-preserving technology maintains data utility while protecting privacy through HIPAA expert determination.
Read MoreAnnouncing Privacy Hub and the Future of Privacy-Preserving Technologies
An Overview of Approaches to Privacy-Preserving Data Sharing
Explore the landscape of privacy-preserving data sharing technologies, from synthetic data to differential privacy. For each technology, we provide summaries, pros, cons, and our projections for future usage…
Read MoreAn Overview of Approaches to Privacy-Preserving Data Sharing
What is Data Normalization? (And Why Do We Need It?)
Data normalization allows those in healthcare technology to consume and share data into specific, expected, and transportable units of information.
Read MoreWhat is Data Normalization? (And Why Do We Need It?)
INTERVIEW: Reduce Practice Burden with Robotic Process Automation
At the HIMSS21 conference, we sat down with 9 of the industry’s front-runners in leveraging health data. Here are the insights we learned.
Read MoreINTERVIEW: Reduce Practice Burden with Robotic Process Automation
INTERVIEW: Digital Healthcare Transformation in COVID-19
At the HIMSS21 conference, we sat down with 9 of the industry’s front-runners in leveraging health data. Here are the insights we learned.
Read MoreINTERVIEW: Digital Healthcare Transformation in COVID-19
Why Legacy EHR Data Is Vital to Patient Safety
See why legacy EHR data must accurately and reliably be moved to a newer, more robust enterprise-wide EHR.
Read MoreWhy Legacy EHR Data Is Vital to Patient Safety
INTERVIEW: Increase Provider Efficiency with Flexible EHR
At the HIMSS21 conference, we sat down with 9 of the industry’s front-runners in leveraging health data. Here are the insights we learned.
Read MoreINTERVIEW: Increase Provider Efficiency with Flexible EHR
Traditional Chase Lists vs Modern Chase Intelligence
Chase lists produced with old methods don’t deliver the best outcomes, are inefficient, error prone and results in provider abrasion. See the alternative.
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