Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Sep 13;5(3):e27.
doi: 10.2196/medinform.7465.

Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application

Peggy Peissig  1 , Kelsey M Schwei  2 , Christopher Kadolph  1 , Joseph Finamore  1 , Efrain Cancel  3 , Catherine A McCarty  4 , Asha Okorie  3 , Kate L Thomas  1 , Jennifer Allen Pacheco  5 , Jyotishman Pathak  6 , Stephen B Ellis  7 , Joshua C Denny  8 , Luke V Rasmussen  9 , Gerard Tromp  10 , Marc S Williams  11 , Tamara R Vrabec  12 , Murray H Brilliant  13
Affiliations

Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application

Peggy Peissig et al. JMIR Med Inform. .

Abstract

Background: The capture and integration of structured ophthalmologic data into electronic health records (EHRs) has historically been a challenge. However, the importance of this activity for patient care and research is critical.

Objective: The purpose of this study was to develop a prototype of a context-driven dynamic extensible markup language (XML) ophthalmologic data capture application for research and clinical care that could be easily integrated into an EHR system.

Methods: Stakeholders in the medical, research, and informatics fields were interviewed and surveyed to determine data and system requirements for ophthalmologic data capture. On the basis of these requirements, an ophthalmology data capture application was developed to collect and store discrete data elements with important graphical information.

Results: The context-driven data entry application supports several features, including ink-over drawing capability for documenting eye abnormalities, context-based Web controls that guide data entry based on preestablished dependencies, and an adaptable database or XML schema that stores Web form specifications and allows for immediate changes in form layout or content. The application utilizes Web services to enable data integration with a variety of EHRs for retrieval and storage of patient data.

Conclusions: This paper describes the development process used to create a context-driven dynamic XML data capture application for optometry and ophthalmology. The list of ophthalmologic data elements identified as important for care and research can be used as a baseline list for future ophthalmologic data collection activities.

Keywords: data acquisition; data collection; electronic health records; extensible markup language XML; ophthalmology.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Process for developing the ophthalmologic data capture prototype.
Figure 2
Figure 2
Context-driven dynamic extensible markup language (XML) architecture.
Figure 3
Figure 3
Ophthalmology prototype with expanded slit-lamp exam section.
Figure 4
Figure 4
Specialty control and corresponding extensible markup language (XML) code.
Figure 5
Figure 5
Example for adding the show/hide event to a dependent control and corresponding extensible markup language (XML) code.
Figure 6
Figure 6
Examples of ink-over controls.
See this image and copyright information in PMC

References

    1. Belle A, Thiagarajan R, Soroushmehr SM, Navidi F, Beard DA, Najarian K. Big data analytics in healthcare. Biomed Res Int. 2015;2015:370194. doi: 10.1155/2015/370194. doi: 10.1155/2015/370194. - DOI - DOI - PMC - PubMed
    1. Cresswell KM, Bates DW, Sheikh A. Ten key considerations for the successful optimization of large-scale health information technology. J Am Med Inform Assoc. 2017 Jan;24(1):182–7. doi: 10.1093/jamia/ocw037. - DOI - PMC - PubMed
    1. HealthIT. [2017-02-07]. System interfaces https://www.healthit.gov/safer/guide/sg005 6o6Bw0Dig.
    1. Cresswell K, Sheikh A. Health information technology in hospitals: current issues and future trends. Future Hosp J. 2015 Feb;2(1):50–6. doi: 10.7861/futurehosp.15.015. http://futurehospital.rcpjournal.org/content/2/1.toc - DOI - PMC - PubMed
    1. Clarke S, Wilson ML, Terhaar M. Using clinical decision support and dashboard technology to improve heart team efficiency and accuracy in a transcatheter aortic valve implantation (TAVI) program. Stud Health Technol Inform. 2016;225:98–102. - PubMed