Evidence map›Paper›PMID 27460682›Full record

ArticleBMC medical informatics and decision making2016

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

Karsten Kortüm, Christoph Hirneiß, Michael Müller, Alexander Babenko, Anselm Kampik, Thomas C Kreutzer

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Karsten KortümUniversity Eye Hospital, Ludwig-Maximilians-University, Mathildenstrasse, 8, D-80336, Munich, Germany. Karsten.kortuem@med.uni-muenchen.de.ORCID 0000-0001-9442-0708
Christoph HirneißUniversity Eye Hospital, Ludwig-Maximilians-University, Mathildenstrasse, 8, D-80336, Munich, Germany.
Michael MüllerUniversity Eye Hospital, Ludwig-Maximilians-University, Mathildenstrasse, 8, D-80336, Munich, Germany.
Alexander BabenkoUniversity Eye Hospital, Ludwig-Maximilians-University, Mathildenstrasse, 8, D-80336, Munich, Germany.
Anselm KampikUniversity Eye Hospital, Ludwig-Maximilians-University, Mathildenstrasse, 8, D-80336, Munich, Germany.
Thomas C KreutzerUniversity Eye Hospital, Ludwig-Maximilians-University, Mathildenstrasse, 8, D-80336, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA 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.

methodsGraphical 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.

resultsDuring 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).

conclusionsAn 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.

Indexed as

Electronic Health RecordsInternational Classification of DiseasesOphthalmologyEye DiseasesGermanyHumansEHRElectric medical recordsElectronic health recordEMRICD-10ICD-10 codingIntroductionOphthalmology

Identifiers

PMID27460682
PMCPMC4962360

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.