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Functional Requirements for Medical Data Integration into Knowledge Management Environments: Requirements Elicitation

Benjamin Kinast1, Hannes Ulrich1, Björn Bergh1

  • 1Institute for Medical Informatics and Statistics, Kiel University and University Hospital Schleswig-Holstein, Kiel, Germany.

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Summary

This study identifies 220 functional requirements for medical data integration from scientific literature, creating a catalog to aid researchers. The findings highlight the value of published research in defining requirements for harmonizing health data across systems.

Keywords:
data integrationknowledge managementrequirementsrequirements engineeringsoftware engineering

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Area of Science:

  • Medical Informatics
  • Health Data Management
  • Requirements Engineering

Background:

  • Patient care data is often stored in isolated, non-interoperable databases, creating data silos that hinder accessibility.
  • The growing volume of health data exacerbates the problem of data silos.
  • Medical informatics aims to transition from siloed data to harmonized information architectures for better research integration.

Approach:

  • Conducted a systematic literature review following PRISMA guidelines to identify articles on medical data integration requirements.
  • Employed document analysis to screen articles for functional requirements, deriving them into a uniform syntax.
  • Classified the elicited requirements according to the data life cycle.

Key Points:

  • Identified 220 distinct functional requirements for medical data integration from 61 publications.
  • Requirements were categorized across the data life cycle: data acquisition (25%), processing (35.9%), storage (12.7%), analysis (9.1%), metadata management (6.4%), data lineage (2.3%), data traceability (3.2%), and data security (5.5%).
  • Scientific publications serve as a reliable source for functional requirements in medical data integration.

Conclusions:

  • A comprehensive catalog of 220 functional requirements for medical data integration was compiled from the literature.
  • This catalog supports researchers in the requirement elicitation phase for data integration projects.
  • The study validates the utility of scientific literature for defining requirements in health data integration.