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

Peggy Peissig1, Kelsey M Schwei2, Christopher Kadolph1

  • 1Marshfield Clinic Research Institute, Biomedical Informatics Research Center, Marshfield, WI, United States.

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|September 15, 2017
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Summary
This summary is machine-generated.

A new dynamic XML application simplifies ophthalmologic data capture for electronic health records (EHRs). This tool enhances clinical care and research by enabling structured data integration and flexible documentation of eye conditions.

Keywords:
data acquisitiondata collectionelectronic health recordsextensible markup language XMLophthalmology

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Area of Science:

  • Ophthalmology
  • Medical Informatics
  • Health Data Management

Background:

  • Structured ophthalmologic data capture and integration into electronic health records (EHRs) presents significant challenges.
  • Effective data management is critical for advancing patient care and clinical research in ophthalmology.

Purpose of the Study:

  • To develop a prototype application for context-driven, dynamic extensible markup language (XML) ophthalmologic data capture.
  • To create a system easily integrable with existing EHR systems for both research and clinical use.

Main Methods:

  • Stakeholder interviews and surveys identified essential data and system requirements for ophthalmologic data capture.
  • Development of an application to collect discrete data elements, including graphical information, based on identified requirements.

Main Results:

  • The application features ink-over drawing for eye abnormalities and context-based controls for guided data entry.
  • An adaptable XML schema supports dynamic changes to data entry forms, facilitating flexible ophthalmologic data management.
  • Web services enable seamless data integration with various EHR systems.

Conclusions:

  • The development process for a context-driven, dynamic XML data capture application for ophthalmology and optometry is detailed.
  • Identified ophthalmologic data elements serve as a foundational list for future data collection initiatives in eye care and research.