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Related Concept Videos

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Methods of Documentation VI: Case Management Model

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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
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Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Accessing complex patient data from Arden Syntax Medical Logic Modules.

Stefan Kraus1, Martin Enders2, Hans-Ulrich Prokosch1

  • 1Center for Communication and Information Technology, University Hospital Erlangen, Glückstraße 11, 91054 Erlangen, Germany; Department of Medical Informatics, Biometrics and Epidemiology, Chair of Medical Informatics, Friedrich-Alexander-University Erlangen-Nuremberg, Wetterkreuz 13, 91058 Erlangen-Tennenlohe, Germany.

Artificial Intelligence in Medicine
|September 28, 2015
PubMed
Summary
This summary is machine-generated.

Arden Syntax can now map complex patient data using XML deserialization, improving clinical decision support integration. This method efficiently handles intricate data structures, overcoming previous limitations.

Keywords:
Arden SyntaxClinical decision supportCurly braces problemMedical Logic ModulesMicrobiology data

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Area of Science:

  • Medical Informatics
  • Clinical Decision Support Systems

Background:

  • Arden Syntax is a 25-year-old standard for medical knowledge representation.
  • Current Arden Syntax struggles with mapping complex, nested patient data.
  • Efficient data mapping is crucial for automated decision-making and timely alerts.

Purpose of the Study:

  • To investigate methods for mapping complex patient data into Arden Syntax Medical Logic Modules.
  • To address limitations in handling complex microbiology data and HL7 messages.
  • To reduce the delay between critical lab events and alerting.

Main Methods:

  • Analyzed Arden Syntax data mapping capabilities and three Arden Syntax environments.
  • Developed and tested three distinct approaches for mapping complex microbiology data.
  • Measured execution times and memory usage for each approach.

Main Results:

  • Current Arden Syntax lacks support for complex data structures.
  • Three approaches were successfully implemented for mapping complex data.
  • XML deserialization demonstrated the fastest mean execution time (84ms) with 6MB peak memory usage.

Conclusions:

  • XML deserialization is the most effective method for mapping complex patient data to Arden Syntax.
  • This approach can generically transform patient data in XML format.
  • Extending Arden Syntax with XML data format support is recommended for better clinical decision support integration.