Dataset Information

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 transfers, (3) the care-services re-distribution led to transfers between facilities (4) the assignment to the hospital of a new area with 80,000 patients in 2015 inspired the discharge to home for follow up and the update of the pre-surgery planned admissions protocol that produced a significant decrease of the patient length of stay.

Discussion

TVA provides an indicator of the effect of process re-engineering interventions on healthcare practice. Evaluating the effect of facilities' relocation and increment of citizens (findings 1, 3-4), the impact of strategies (findings 2-3), and gradual changes in protocols (finding 4) may help on the hospital management by optimizing interventions based on their effect on EHRs or on data reuse.

Conclusions

The effects on hospitals EHR due to process re-engineering interventions can be evaluated using the TVA methodology. Being aware of conditioned variations in EHR is of the utmost importance for the reliable reuse of routine hospitalization data.

SUBMITTER: Perez-Benito FJ

PROVIDER: S-EPMC6685618 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

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

Pérez-Benito Francisco Javier FJ Sáez Carlos C Conejero J Alberto JA Tortajada Salvador S Valdivieso Bernardo B García-Gómez Juan M JM

PloS one 20190807 8

<h4>Objective</h4>To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years.<h4>Materials and methods</h4>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.<h4>Res ...[more]

PMID: 31390350

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Dataset Information

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

Objective

Materials and methods

Results

Discussion

Conclusions

Publications

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

Similar Datasets

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