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The influence of a specific ophthalmological electronic health record on ICD-10 coding

BACKGROUND: A specific Electronic Health Record (EHR) for ophthalmology was introduced in an academic center in Germany. As diagnoses coding corresponding to the International Classification of Diseases Version 10 (ICD-10) is mandatory for billing reasons in Germany, we analyzed whether a change occ...

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Autores principales: Kortüm, Karsten, Hirneiß, Christoph, Müller, Michael, Babenko, Alexander, Kampik, Anselm, Kreutzer, Thomas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4962360/
https://www.ncbi.nlm.nih.gov/pubmed/27460682
http://dx.doi.org/10.1186/s12911-016-0340-1
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author Kortüm, Karsten
Hirneiß, Christoph
Müller, Michael
Babenko, Alexander
Kampik, Anselm
Kreutzer, Thomas C.
author_facet Kortüm, Karsten
Hirneiß, Christoph
Müller, Michael
Babenko, Alexander
Kampik, Anselm
Kreutzer, Thomas C.
author_sort Kortüm, Karsten
collection PubMed
description BACKGROUND: A specific Electronic Health Record (EHR) for ophthalmology was introduced in an academic center in Germany. As diagnoses coding corresponding to the International Classification of Diseases Version 10 (ICD-10) is mandatory for billing reasons in Germany, we analyzed whether a change occurred in the diversity and number of diagnoses after the EHR introduction. The number of patients was also analyzed. Proper diagnoses coding is of the utmost importance for further data analysis or billing. METHODS: Graphical User Interfaces (GUIs) were created by using Advanced Business Application Programming language in EHR “i.s.h.med.” Development of an EHR was conducted in close collaboration between physicians and software engineers. ICD-10 coding was implemented by using a “hit list” and a search engine for diagnoses. An observational analysis of a 6-month period prior to and after the introduction of an ophthalmological specific EHR was conducted by investigating the diversity and number of diagnoses in various ophthalmological disease categories and the number of patient consultations. RESULTS: During the introduction of a specific ophthalmological EHR, we observed a significant increase in the emergency department cases (323.9 vs. 359.9 cases per week), possibly related to documentation requirements. The number of scheduled outpatients didn’t change significantly (355.12 vs. 360.24 cases per week). The variety of diagnoses also changed: on average, 156.2 different diagnoses were made per week throughout our hospital before the EHR launch, compared to 186.8 different diagnoses per week thereafter (p < 0.05). Additionally, a significantly higher number of diagnoses per case and per week were observed in both emergency and subspecialty outpatient clinics (1.15 vs. 1.22 and 1.10 vs. 1.47, respectively). CONCLUSIONS: An optimized EHR was created for ophthalmological needs and for simplified ICD-10 coding. The implementation of digital patient recording increased the diversity of the diagnoses used per case as well as the number of diagnoses coded per case. A general limitation to date is the suboptimal precision of ICD-10 coding in ophthalmology. Correct coding is of utmost importance for future data analysis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-016-0340-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-49623602016-07-28 The influence of a specific ophthalmological electronic health record on ICD-10 coding Kortüm, Karsten Hirneiß, Christoph Müller, Michael Babenko, Alexander Kampik, Anselm Kreutzer, Thomas C. BMC Med Inform Decis Mak Research Article BACKGROUND: A specific Electronic Health Record (EHR) for ophthalmology was introduced in an academic center in Germany. As diagnoses coding corresponding to the International Classification of Diseases Version 10 (ICD-10) is mandatory for billing reasons in Germany, we analyzed whether a change occurred in the diversity and number of diagnoses after the EHR introduction. The number of patients was also analyzed. Proper diagnoses coding is of the utmost importance for further data analysis or billing. METHODS: Graphical User Interfaces (GUIs) were created by using Advanced Business Application Programming language in EHR “i.s.h.med.” Development of an EHR was conducted in close collaboration between physicians and software engineers. ICD-10 coding was implemented by using a “hit list” and a search engine for diagnoses. An observational analysis of a 6-month period prior to and after the introduction of an ophthalmological specific EHR was conducted by investigating the diversity and number of diagnoses in various ophthalmological disease categories and the number of patient consultations. RESULTS: During the introduction of a specific ophthalmological EHR, we observed a significant increase in the emergency department cases (323.9 vs. 359.9 cases per week), possibly related to documentation requirements. The number of scheduled outpatients didn’t change significantly (355.12 vs. 360.24 cases per week). The variety of diagnoses also changed: on average, 156.2 different diagnoses were made per week throughout our hospital before the EHR launch, compared to 186.8 different diagnoses per week thereafter (p < 0.05). Additionally, a significantly higher number of diagnoses per case and per week were observed in both emergency and subspecialty outpatient clinics (1.15 vs. 1.22 and 1.10 vs. 1.47, respectively). CONCLUSIONS: An optimized EHR was created for ophthalmological needs and for simplified ICD-10 coding. The implementation of digital patient recording increased the diversity of the diagnoses used per case as well as the number of diagnoses coded per case. A general limitation to date is the suboptimal precision of ICD-10 coding in ophthalmology. Correct coding is of utmost importance for future data analysis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12911-016-0340-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-26 /pmc/articles/PMC4962360/ /pubmed/27460682 http://dx.doi.org/10.1186/s12911-016-0340-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kortüm, Karsten
Hirneiß, Christoph
Müller, Michael
Babenko, Alexander
Kampik, Anselm
Kreutzer, Thomas C.
The influence of a specific ophthalmological electronic health record on ICD-10 coding
title The influence of a specific ophthalmological electronic health record on ICD-10 coding
title_full The influence of a specific ophthalmological electronic health record on ICD-10 coding
title_fullStr The influence of a specific ophthalmological electronic health record on ICD-10 coding
title_full_unstemmed The influence of a specific ophthalmological electronic health record on ICD-10 coding
title_short The influence of a specific ophthalmological electronic health record on ICD-10 coding
title_sort influence of a specific ophthalmological electronic health record on icd-10 coding
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4962360/
https://www.ncbi.nlm.nih.gov/pubmed/27460682
http://dx.doi.org/10.1186/s12911-016-0340-1
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