Literature DB >> 26142229

[Development of an ophthalmological clinical information system for inpatient eye clinics].

K U Kortüm1, M Müller2, A Babenko2, A Kampik2, T C Kreutzer2,3.   

Abstract

BACKGROUND: In times of increased digitalization in healthcare, departments of ophthalmology are faced with the challenge of introducing electronic clinical health records (EHR); however, specialized software for ophthalmology is not available with most major EHR sytems. The aim of this project was to create specific ophthalmological user interfaces for large inpatient eye care providers within a hospitalwide EHR. Additionally the integration of ophthalmic imaging systems, scheduling and surgical documentation should be achieved.
MATERIAL AND METHODS: The existing EHR i.s.h.med (Siemens, Germany) was modified using advanced business application programming (ABAP) language to create specific ophthalmological user interfaces for reproduction and moreover optimization of the clinical workflow.
RESULTS: A user interface for documentation of ambulatory patients with eight tabs was designed. From June 2013 to October 2014 a total of 61,551 patient contact details were documented. For surgical documentation a separate user interface was set up. Digital clinical orders for documentation of registration and scheduling of operations user interfaces were also set up. A direct integration of ophthalmic imaging modalities could be established.
CONCLUSION: An ophthalmologist-orientated EHR for outpatient and surgical documentation for inpatient clinics was created and successfully implemented. By incorporation of imaging procedures the foundation of future smart/big data analyses was created.

Entities:  

Keywords:  Data evaluation; Digitalization; Documentation; Electronic health records; Hospital informtion system

Mesh:

Year:  2015        PMID: 26142229     DOI: 10.1007/s00347-015-0072-0

Source DB:  PubMed          Journal:  Ophthalmologe        ISSN: 0941-293X            Impact factor:   1.059


  6 in total

1.  [Computer-based graphic documentation of retinal findings].

Authors:  C Jürgens; R Grossjohann; F Tost
Journal:  Ophthalmologe       Date:  2009-01       Impact factor: 1.059

2.  The inevitable application of big data to health care.

Authors:  Travis B Murdoch; Allan S Detsky
Journal:  JAMA       Date:  2013-04-03       Impact factor: 56.272

3.  Accuracy and speed of electronic health record versus paper-based ophthalmic documentation strategies.

Authors:  Patrick Chan; Preeti J Thyparampil; Michael F Chiang
Journal:  Am J Ophthalmol       Date:  2013-05-08       Impact factor: 5.258

4.  Electronic health record systems in ophthalmology: impact on clinical documentation.

Authors:  David S Sanders; Daniel J Lattin; Sarah Read-Brown; Daniel C Tu; David J Wilson; Thomas S Hwang; John C Morrison; Thomas R Yackel; Michael F Chiang
Journal:  Ophthalmology       Date:  2013-05-16       Impact factor: 12.079

5.  Impact of an electronic health record operating room management system in ophthalmology on documentation time, surgical volume, and staffing.

Authors:  David S Sanders; Sarah Read-Brown; Daniel C Tu; William E Lambert; Dongseok Choi; Bella M Almario; Thomas R Yackel; Anna S Brown; Michael F Chiang
Journal:  JAMA Ophthalmol       Date:  2014-05       Impact factor: 7.389

6.  Use of electronic medical records differs by specialty and office settings.

Authors:  Erik W J Kokkonen; Scott A Davis; Hsien-Chang Lin; Tushar S Dabade; Steven R Feldman; Alan B Fleischer
Journal:  J Am Med Inform Assoc       Date:  2013-03-28       Impact factor: 4.497

  6 in total
  7 in total

1.  [Smart eye data : Development of a foundation for medical research using Smart Data applications].

Authors:  K Kortüm; M Müller; C Hirneiß; A Babenko; D Nasseh; C Kern; A Kampik; S Priglinger; T C Kreutzer
Journal:  Ophthalmologe       Date:  2016-06       Impact factor: 1.059

2.  [Per aspera ad astra: implementation of electronic patient records in a university eye hospital : Experience with FIDUS in the Clinic for Ophthalmology at the Saarland University Medical Center UKS].

Authors:  C Spira-Eppig; T Eppig; M Bischof; G Schießl; G Milioti; B Käsmann-Kellner; H Carstensen; B Schick; B Seitz
Journal:  Ophthalmologe       Date:  2018-10       Impact factor: 1.059

3.  Correlation between weather and incidence of selected ophthalmological diagnoses: a database analysis.

Authors:  Christoph Kern; Karsten Kortüm; Michael Müller; Florian Raabe; Wolfgang Johann Mayer; Siegfried Priglinger; Thomas Christian Kreutzer
Journal:  Clin Ophthalmol       Date:  2016-08-22

4.  Modern Corneal Eye-Banking Using a Software-Based IT Management Solution.

Authors:  C Kern; K Kortuem; C Wertheimer; O Nilmayer; M Dirisamer; S Priglinger; W J Mayer
Journal:  J Ophthalmol       Date:  2018-05-20       Impact factor: 1.909

Review 5.  [Diagnostics of diseases of the optic nerve head in times of artificial intelligence and big data].

Authors:  R Diener; M Treder; N Eter
Journal:  Ophthalmologe       Date:  2021-04-22       Impact factor: 1.059

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

Authors:  Karsten Kortüm; Christoph Hirneiß; Michael Müller; Alexander Babenko; Anselm Kampik; Thomas C Kreutzer
Journal:  BMC Med Inform Decis Mak       Date:  2016-07-26       Impact factor: 2.796

7.  Comparison of Two Toric IOL Calculation Methods.

Authors:  C Kern; K Kortüm; M Müller; A Kampik; S Priglinger; W J Mayer
Journal:  J Ophthalmol       Date:  2018-01-10       Impact factor: 1.909

  7 in total

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