Electronic health records (EHR) are collected as a routine part of healthcare delivery, and
have great potential to be utilized to improve patient health outcomes. They contain multiple …

The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

Electronic health records (EHRs) offer the potential to study large numbers of patients but
are designed for clinical practice, not research. Despite the increasing availability of EHR …

Existing machine learning methods typically assume consistency in how semantically
equivalent information is encoded. However, the way information is recorded in databases …

The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

Electronic health records (EHRs) present a wealth of data that are vital for improving patient-
centered outcomes, although the data can present significant statistical challenges. In …

Increasingly large electronic health records (EHRs) provide an opportunity to algorithmically
learn medical knowledge. In one prominent example, a causal health knowledge graph …

Objective One promise of nationwide adoption of electronic health records (EHRs) is the
availability of data for large-scale clinical research studies. However, because the same …

As interest in the reuse of electronic health record (EHR) data for research purposes grows,
so too does awareness of the significant data quality problems in these non-traditional …

With the recent availability of Electronic Health Records (EHR) and great opportunities they
offer for advancing medical informatics, there has been growing interest in mining EHR for …