Assessment of automatically exported clinical data from a hospital information system for clinical research in multiple myeloma
Author
dc.contributor.author
Torres, Viviana
Author
dc.contributor.author
Cerda, Mauricio
Author
dc.contributor.author
Knaup, Petra
Author
dc.contributor.author
Löpprich, Martin
Admission date
dc.date.accessioned
2019-05-29T13:59:11Z
Available date
dc.date.available
2019-05-29T13:59:11Z
Publication date
dc.date.issued
2016
Cita de ítem
dc.identifier.citation
Studies in Health Technology and Informatics, 2016; 228:332-6.
Identifier
dc.identifier.issn
18798365
Identifier
dc.identifier.issn
09269630
Identifier
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10.3233/978-1-61499-678-1-332
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/169161
Abstract
dc.description.abstract
PURPOSE:
An important part of the electronic information available in Hospital Information System (HIS) has the potential to be automatically exported to Electronic Data Capture (EDC) platforms for improving clinical research. This automation has the advantage of reducing manual data transcription, a time consuming and prone to errors process. However, quantitative evaluations of the process of exporting data from a HIS to an EDC system have not been reported extensively, in particular comparing with manual transcription. In this work an assessment to study the quality of an automatic export process, focused in laboratory data from a HIS is presented.
METHODS:
Quality of the laboratory data was assessed in two types of processes: (1) a manual process of data transcription, and (2) an automatic process of data transference. The automatic transference was implemented as an Extract, Transform and Load (ETL) process. Then, a comparison was carried out between manual and automatic data collection methods. The criteria to measure data quality were correctness and completeness.
RESULTS:
The manual process had a general error rate of 2.6% to 7.1%, obtaining the lowest error rate if data fields with a not clear definition were removed from the analysis (p < 10E-3). In the case of automatic process, the general error rate was 1.9% to 12.1%, where lowest error rate is obtained when excluding information missing in the HIS but transcribed to the EDC from other physical sources.
CONCLUSION:
The automatic ETL process can be used to collect laboratory data for clinical research if data in the HIS as well as physical documentation not included in HIS, are identified previously and follows a standardized data collection protocol.