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[Clinical electronic data processing: effort and efficiency].

W Schreiner1

  • 1II. Chirurgische Universitätsklinik, Wien.

Wiener Klinische Wochenschrift
|November 20, 1987
PubMed
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Computerizing clinical research involves evaluating procedures based on performance and installation effort to determine efficiency. Successful implementation requires collaboration between clinicians and software experts for optimal solutions.

Area of Science:

  • Clinical Research Informatics
  • Health Information Technology

Background:

  • The increasing need for efficient data management in clinical research.
  • Challenges in adopting new technologies within healthcare settings.

Purpose of the Study:

  • To evaluate various procedures for computerizing clinical research.
  • To assess the efficiency of different computerization methods based on performance and installation effort.
  • To highlight the importance of the clinician-software expert interface.

Main Methods:

  • Comparative analysis of different computerization procedures.
  • Evaluation of performance metrics and installation effort for each procedure.
  • Qualitative discussion on interdisciplinary collaboration.

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Main Results:

  • Efficiency is determined by the ratio of performance to installation effort for computerization procedures.
  • The interface between clinicians and software experts is crucial for successful implementation.
  • No single procedure is universally optimal; selection depends on specific needs.

Conclusions:

  • Optimizing clinical research computerization requires balancing performance and implementation costs.
  • Effective communication and collaboration between clinical and technical teams are essential.
  • Tailoring solutions to specific research contexts enhances adoption and utility.