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Dataset Information

Characterizing outpatient problem list completeness and duplications in the electronic health record.


ABSTRACT:

Objective

The study sought to characterize rates of problem list completeness and duplications in common chronic diseases and to identify any relationships that they may have with respect to disease type, demographics, and disease severity.

Materials and methods

We performed a retrospective analysis of electronic health record data from Partners HealthCare. We selected 8 common chronic diseases and identified patients with each of those diseases. We then analyzed each patient's problem list for completeness and duplications and also collected information regarding demographics and disease severity. Rates of completeness and duplications were calculated for each disease and compared according to disease type, demographics, and disease severity.

Results

A total of 327 6

SUBMITTER: Wang EC 

PROVIDER: S-EPMC7481031 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature