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Bruce Reiner1

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Healthcare professionals face challenges accessing patient data at the point of care. A new multi-disciplinary patient referenceable database improves access to actionable imaging and clinical data.

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Area of Science:

  • Medical Informatics
  • Health Data Management
  • Clinical Decision Support

Background:

  • Accessing relevant patient data at the point of care is a significant challenge for healthcare professionals.
  • Inefficiencies in organizing imaging data and manual workflows impede historical image review in radiology.
  • Retrieving clinical data is further complicated by data quality issues and poor information system integration.

Purpose of the Study:

  • To address deficiencies in accessing patient healthcare data at the point of care.
  • To propose a novel approach for organizing and retrieving critical patient information.
  • To enhance the efficiency and effectiveness of clinical data utilization.

Main Methods:

  • Development of a multi-disciplinary patient referenceable database.
  • Categorization and classification of imaging and clinical data using predefined criteria (anatomy, technology, pathology, time).
  • Population of the database through combined manual and automated methods with data verification for quality control.

Main Results:

  • Creation of a structured, high-priority, actionable data repository.
  • Demonstration of a method to filter data for specific clinical tasks and user needs.
  • Potential for improved data accessibility and usability at the point of care.

Conclusions:

  • A multi-disciplinary referenceable database can consolidate and organize patient data effectively.
  • This approach enhances the retrieval of context-specific and user-tailored information.
  • Implementation can overcome current barriers to efficient data access in healthcare settings.