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Related Experiment Videos

[A new tool for retrieving clinical data from various sources].

Erik Waage Nielsen1, Anders Hovland, Oddgeir Strømsnes

  • 1Anestesi- og intensivavdelingen, Nordlandssykehuset, 8092 Bodø.

Tidsskrift for Den Norske Laegeforening : Tidsskrift for Praktisk Medicin, Ny Raekke
|March 1, 2006
PubMed
Summary

Qlikview successfully consolidates diverse clinical data for hospital physicians, enabling rapid searches and data sharing. This tool enhances access to patient information for improved clinical decision-making.

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Area of Science:

  • Medical Informatics
  • Health Data Management
  • Clinical Data Integration

Context:

  • Physicians require efficient tools to access aggregated clinical data from multiple hospital sources.
  • Existing data systems often present challenges in data extraction and integration.
  • There is a demand for a unified system to compile patient information for clinical analysis.

Purpose:

  • To evaluate Qlikview as a solution for extracting and consolidating clinical data from various hospital sources.
  • To assess the feasibility of assembling a comprehensive patient data file for clinical use.
  • To determine the efficiency and utility of Qlikview in managing large datasets.

Summary:

  • Qlikview was used to create a 13 MB file containing data on 12,430 cardiac patients (26,287 admissions) and 530,912 lab analyses over 21 and 5 years, respectively.

Related Experiment Videos

  • Despite some data inaccessibility issues (lack of coding, encryption), a significant portion of required clinical information was extracted.
  • Searches were rapid, and Qlikview facilitated the assembly of clinical information from disparate systems, allowing for independent data exploration by physicians.

    • Impact:

    • Qlikview enables doctors to access and search integrated clinical data efficiently, supporting timely and informed decision-making.
    • The system allows for data sharing and refinement among physicians across different institutions.
    • Physicians can independently query the assembled data to answer evolving clinical questions, even outside regular working hours.