Datavant and Kythera recently hosted a webinar that covered several topics related to patient privacy and identity resolution, ranging from the important difference between identifying and knowing to covering real-world applications using patient-level information, such as patient engagement campaigns, patient hub operations, and rebates auditing.
Data is an asset which businesses and industries can not ignore. If used properly, data provides its users a competitive advantage, however, without a sound approach, data may fall short of its full potential. To help ensure success, organizations should start with the critical first step of identifying what questions need to be answered and what problems need to be solved, then quickly mobilize to identify what data is needed to answer those questions. Data needed for strategic purposes almost always comes from different sources, in different formats, and in varying quality that can complicate utilization, especially for machine learning applications. As data and analytics are evolving, so to are data technology platforms - and keeping up is critical.
Information is expensive. The costs of acquiring, handling, and understanding information to achieve actionable, business value directly affects the bottom line. Not investing in information can be even more expensive.
Analytics can create value, however, too many organizations fall short of reaping their full benefit.
Strategic partnership enables automation of data enhancement for increased return on data investments, 8x faster results, and richer, more granular insights.
Starting with a database of over 310 million patients, we uncovered errors and then developed provable solutions to correct, enhance, and complete the data.
Data pipelines accommodate billions of rows of historical claims information and have embedded machine learning algorithms that fill in any data that's missing.
While many data scientists address missingness by simply omitting bad data and using clean-up methods such as imputation, doing so is a very risky proposition. Why?