PDF–ECG in Clinical Practice: A Model for Long–Term Preservation of Digital 12–lead ECG Data

Roberto Sassi, Raymond Bond, Andrew Cairns, Dewar Finlay, Daniel Guldenring, Guido Libretti, Lamberto Isola, Martino Vaglio, Roberto Poeta, Marco Campana, Claudio Cuccia, Fabio Badilini

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

BackgroundIn clinical practice, data archiving of resting 12-lead electrocardiograms (ECGs) is mainly achieved by storing a PDF report in the hospital electronic health record (EHR). When available, digital ECG source data (raw samples) are only retained within the ECG management system.ObjectiveThe widespread availability of the ECG source data would undoubtedly permit successive analysis and facilitate longitudinal studies, with both scientific and diagnostic benefits.Methods & ResultsPDF-ECG is a hybrid archival format which allows to store in the same file both the standard graphical report of an ECG together with its source ECG data (waveforms). Using PDF-ECG as a model to address the challenge of ECG data portability, long-term archiving and documentation, a real-world proof-of-concept test was conducted in a northern Italy hospital. A set of volunteers undertook a basic ECG using routine hospital equipment and the source data captured. Using dedicated web services, PDF-ECG documents were then generated and seamlessly uploaded in the hospital EHR, replacing the standard PDF reports automatically generated at the time of acquisition. Finally, the PDF-ECG files could be successfully retrieved and re-analyzed.ConclusionAdding PDF-ECG to an existing EHR had a minimal impact on the hospital’s workflow, while preserving the ECG digital data.
LanguageEnglish
Pages776-780
JournalJournal of Electrocardiology
Volume50
Issue number6
Early online date12 Aug 2017
DOIs
Publication statusE-pub ahead of print - 12 Aug 2017

Fingerprint

Electrocardiography
Information Storage and Retrieval
Electronic Health Records
Lead
Hospital Equipment and Supplies
Workflow
Documentation
Italy
Longitudinal Studies
Volunteers

Keywords

  • ECG
  • data modelling
  • data structure
  • medical informatics

Cite this

Sassi, Roberto ; Bond, Raymond ; Cairns, Andrew ; Finlay, Dewar ; Guldenring, Daniel ; Libretti, Guido ; Isola, Lamberto ; Vaglio, Martino ; Poeta, Roberto ; Campana, Marco ; Cuccia, Claudio ; Badilini, Fabio. / PDF–ECG in Clinical Practice: A Model for Long–Term Preservation of Digital 12–lead ECG Data. In: Journal of Electrocardiology. 2017 ; Vol. 50, No. 6. pp. 776-780.
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abstract = "BackgroundIn clinical practice, data archiving of resting 12-lead electrocardiograms (ECGs) is mainly achieved by storing a PDF report in the hospital electronic health record (EHR). When available, digital ECG source data (raw samples) are only retained within the ECG management system.ObjectiveThe widespread availability of the ECG source data would undoubtedly permit successive analysis and facilitate longitudinal studies, with both scientific and diagnostic benefits.Methods & ResultsPDF-ECG is a hybrid archival format which allows to store in the same file both the standard graphical report of an ECG together with its source ECG data (waveforms). Using PDF-ECG as a model to address the challenge of ECG data portability, long-term archiving and documentation, a real-world proof-of-concept test was conducted in a northern Italy hospital. A set of volunteers undertook a basic ECG using routine hospital equipment and the source data captured. Using dedicated web services, PDF-ECG documents were then generated and seamlessly uploaded in the hospital EHR, replacing the standard PDF reports automatically generated at the time of acquisition. Finally, the PDF-ECG files could be successfully retrieved and re-analyzed.ConclusionAdding PDF-ECG to an existing EHR had a minimal impact on the hospital’s workflow, while preserving the ECG digital data.",
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Sassi, R, Bond, R, Cairns, A, Finlay, D, Guldenring, D, Libretti, G, Isola, L, Vaglio, M, Poeta, R, Campana, M, Cuccia, C & Badilini, F 2017, 'PDF–ECG in Clinical Practice: A Model for Long–Term Preservation of Digital 12–lead ECG Data', Journal of Electrocardiology, vol. 50, no. 6, pp. 776-780. https://doi.org/10.1016/j.jelectrocard.2017.08.001

PDF–ECG in Clinical Practice: A Model for Long–Term Preservation of Digital 12–lead ECG Data. / Sassi, Roberto; Bond, Raymond; Cairns, Andrew; Finlay, Dewar; Guldenring, Daniel; Libretti, Guido; Isola, Lamberto; Vaglio, Martino; Poeta, Roberto; Campana, Marco; Cuccia, Claudio; Badilini, Fabio.

In: Journal of Electrocardiology, Vol. 50, No. 6, 12.08.2017, p. 776-780.

Research output: Contribution to journalArticle

TY - JOUR

T1 - PDF–ECG in Clinical Practice: A Model for Long–Term Preservation of Digital 12–lead ECG Data

AU - Sassi, Roberto

AU - Bond, Raymond

AU - Cairns, Andrew

AU - Finlay, Dewar

AU - Guldenring, Daniel

AU - Libretti, Guido

AU - Isola, Lamberto

AU - Vaglio, Martino

AU - Poeta, Roberto

AU - Campana, Marco

AU - Cuccia, Claudio

AU - Badilini, Fabio

PY - 2017/8/12

Y1 - 2017/8/12

N2 - BackgroundIn clinical practice, data archiving of resting 12-lead electrocardiograms (ECGs) is mainly achieved by storing a PDF report in the hospital electronic health record (EHR). When available, digital ECG source data (raw samples) are only retained within the ECG management system.ObjectiveThe widespread availability of the ECG source data would undoubtedly permit successive analysis and facilitate longitudinal studies, with both scientific and diagnostic benefits.Methods & ResultsPDF-ECG is a hybrid archival format which allows to store in the same file both the standard graphical report of an ECG together with its source ECG data (waveforms). Using PDF-ECG as a model to address the challenge of ECG data portability, long-term archiving and documentation, a real-world proof-of-concept test was conducted in a northern Italy hospital. A set of volunteers undertook a basic ECG using routine hospital equipment and the source data captured. Using dedicated web services, PDF-ECG documents were then generated and seamlessly uploaded in the hospital EHR, replacing the standard PDF reports automatically generated at the time of acquisition. Finally, the PDF-ECG files could be successfully retrieved and re-analyzed.ConclusionAdding PDF-ECG to an existing EHR had a minimal impact on the hospital’s workflow, while preserving the ECG digital data.

AB - BackgroundIn clinical practice, data archiving of resting 12-lead electrocardiograms (ECGs) is mainly achieved by storing a PDF report in the hospital electronic health record (EHR). When available, digital ECG source data (raw samples) are only retained within the ECG management system.ObjectiveThe widespread availability of the ECG source data would undoubtedly permit successive analysis and facilitate longitudinal studies, with both scientific and diagnostic benefits.Methods & ResultsPDF-ECG is a hybrid archival format which allows to store in the same file both the standard graphical report of an ECG together with its source ECG data (waveforms). Using PDF-ECG as a model to address the challenge of ECG data portability, long-term archiving and documentation, a real-world proof-of-concept test was conducted in a northern Italy hospital. A set of volunteers undertook a basic ECG using routine hospital equipment and the source data captured. Using dedicated web services, PDF-ECG documents were then generated and seamlessly uploaded in the hospital EHR, replacing the standard PDF reports automatically generated at the time of acquisition. Finally, the PDF-ECG files could be successfully retrieved and re-analyzed.ConclusionAdding PDF-ECG to an existing EHR had a minimal impact on the hospital’s workflow, while preserving the ECG digital data.

KW - ECG

KW - data modelling

KW - data structure

KW - medical informatics

U2 - 10.1016/j.jelectrocard.2017.08.001

DO - 10.1016/j.jelectrocard.2017.08.001

M3 - Article

VL - 50

SP - 776

EP - 780

JO - Journal of Electrocardiology

T2 - Journal of Electrocardiology

JF - Journal of Electrocardiology

SN - 0022-0736

IS - 6

ER -