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SPIRIT: Systematic Planning of Intelligent Reuse of Integrated Clinical Routine Data. A Conceptual Best-practice

W O Hackl1, E Ammenwerth

  • 1Dr. Werner O. Hackl, Institute of Biomedical Informatics, UMIT - University for Health Sciences, Medical Informatics and Technology, Eduard Wallnöfer Zentrum 1, 6060 Hall in Tirol, Austria,

Methods of Information in Medicine
|January 16, 2016
PubMed
Summary

We introduce SPIRIT, a framework for planning the intelligent reuse of clinical routine data. This systematic approach addresses the lack of standards in secondary data use, enabling tailored solutions for healthcare institutions.

Keywords:
Data collectionbig databusiness intelligenceclinical routine data reusedata analysisdata warehousingdatabases as topicsecondary use

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Area of Science:

  • Biomedicine and Healthcare Informatics
  • Data Management and Analysis
  • Health Services Research

Background:

  • Secondary use of clinical data is increasingly important but lacks standardized frameworks.
  • Challenges exist in building and analyzing integrated clinical data repositories.
  • Best-practice approaches for systematic planning of routine medical record data reuse are needed.

Purpose of the Study:

  • Propose a conceptual best-practice framework and procedure model for systematic planning of intelligent reuse of integrated clinical routine data (SPIRIT).
  • Provide a structured approach to overcome the gap in secondary data use planning.
  • Facilitate the development of tailored secondary data use solutions within healthcare.

Main Methods:

  • Developed SPIRIT based on a comprehensive literature review.
  • Refined the framework through two case studies using diverse clinical routine data.
  • Incorporated process-oriented nursing data and high-volume multimodal neurologic intensive care unit data.

Main Results:

  • SPIRIT offers a three-part framework: organizational strategy, comprehensive requirement analyses (data-centric BOTTOM UP and user-centric TOP DOWN) with clinical context analysis (IN BETWEEN), and implementation.
  • Tailors secondary use solutions to specific departmental needs while considering the institution as a whole.
  • Includes design and realization of clinical data integration, management, and analysis solutions.

Conclusions:

  • SPIRIT provides a systematic method for planning the intelligent reuse of clinical routine data for various purposes.
  • The framework addresses the gap where secondary data use was not an original design consideration.
  • Applicable to healthcare institutions of any size, enabling stepwise evolution of data reuse solutions.