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[Design criteria for a computerized clinical database].

M De Bernardinis1, V Violi, M Montanari

  • 1Università degli Studi di Parma Istituto di Clinica Chirurgica Generale e Terapia Chirurgica II.

Chirurgia Italiana
|August 1, 1988
PubMed
Summary
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Effective data management in medical informatics requires careful planning and adherence to methodological rules for clinical databases. This ensures efficient clinical information management and research planning, regardless of system scale.

Area of Science:

  • Medical Informatics
  • Health Data Management

Context:

  • Data management is crucial in medical informatics for information retrieval and sophisticated applications.
  • The effectiveness of a database relies on meticulous planning and methodological adherence.

Purpose:

  • To highlight the importance of careful planning and methodological rules in medical data management.
  • To emphasize the need for preliminary studies, appropriate data collection tools, and software programming for database management.

Summary:

  • Key steps include preliminary studies for clinical data selection, choosing optimal data collection tools and methodologies, and proper software programming for archive management.
  • Solving these data management challenges is essential for efficient clinical information handling and research design.
  • These principles apply to both large hospital mainframe databases and personal computer archives.

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Impact:

  • Enables efficient management of clinical information and supports research planning.
  • Improves the operative utility of databases in healthcare settings.
  • Provides a framework for developing robust computerized databases for diverse clinical needs.