Architectures and Patterns for Leveraging High-Frequency, Low-Fidelity Data in the Healthcare Domain

摘要

The U.S. healthcare data has undergone significant transformations as computerized technologies over the last several decades. Data trends in healthcare have transitioned from less frequent, higher-fidelity provider-documented electronic health records (EHR) to higher-frequency, lower-fidelity (HFLF) patient-and device-generated data. It is important to integrate HFLF data into healthcare decisions since they capture continuous data reflecting various aspects of citizens' lifestyles and well-being. This paper summarizes three challenges related to moving towards the use of the HFLF data and our proposed solutions to address them.