The healthcare information technology market is poised to reach $228.7 billion by 2020. Navigating the new world of technology is big challenge. Read on to learn how healthcare firms are managing the change.
Balancing privacy, risk and data quality has become crucial for academic medical centers. As the demand for data increases so do the privacy risks around linking multiple data sources. As the need for registries grows, evidence highlights that statistical de-identification is the optimal choice to deliver high quality, anonymized patient data. This white paper outlines how to establish best practices for combining both.
How can we find innovation solutions to healthcare’s most pressing problems? Learning Healthcare Systems (LHCS) are driving new solutions. LHCS are built by leveraging shared data and insights across boundaries to drive more efficient medical practice and patient care.
In this primer, we describe the techniques, software platforms and highlight example use cases of how pharma companies can take both sustainable and secure approaches to access new datasets and build RWE data networks.
Attaining true transparency in drug trials calls for a better solution than excessive redaction. Learn the drawbacks and benefits of the different methods for anonymization in clinical trials. There is potential for strong industry leaders to emerge — so long as they align themselves with best practice guidelines.