Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years.

ABSTRACT:

Objective

To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years.

Materials and methods

Temporal Variability Assessment (TVA) based on probabilistic data quality assessment was applied to the historic monthly-batched admission data of Hospital La Fe Valencia, Spain from 2010 to 2016. Routine healthcare data with a complete EHR was expanded by processed variables such as the Charlson Comorbidity Index.

Results

Four Process-Reengineering interventions were detected by quantifiable effects on the EHR: (1) the hospital relocation in 2011 involved progressive reduction of admissions during the next four months, (2) the hospital services re-configuration incremented the number of inter-services transf

SUBMITTER: Perez-Benito FJ 

PROVIDER: S-EPMC6685618 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature