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A microcomputer data base system for an in vitro fertilization clinic programmed in BASIC.

B A Keel1, V M Roberts, J V May

  • 1Department of Obstetrics and Gynecology, University of Kansas School of Medicine, Wichita 67214.

Journal of in Vitro Fertilization and Embryo Transfer : IVF
|October 1, 1990
PubMed
Summary
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A new computer program aids in vitro fertilization (IVF) and gamete intrafallopian transfer (GIFT) clinics by managing patient data and performing statistical analysis. This tool facilitates data comparison across treatment groups, improving reporting and research capabilities.

Area of Science:

  • Reproductive Medicine
  • Medical Informatics
  • Biostatistics

Background:

  • Clinics performing in vitro fertilization (IVF) and gamete intrafallopian transfer (GIFT) require efficient patient data management.
  • Existing systems may lack integrated statistical analysis capabilities for comparative studies.

Purpose of the Study:

  • To develop a user-friendly computer program for IVF and GIFT clinics.
  • To enable comprehensive data input, editing, sorting, and printing of patient information.
  • To facilitate statistical analysis for comparing treatment outcomes and diagnoses.

Main Methods:

  • A computer program was developed using the BASIC programming language for IBM personal computers.
  • The program incorporates functionalities for data management (input, edit, update, sort, print).

Related Experiment Videos

  • Statistical functions allow data summation based on user-defined treatment cycles, diagnoses, and protocols.

    • Main Results:

    • The program enables continuous updating of patient data, including pregnancy confirmation and live births.
    • Statistical analysis allows for the comparison of pregnancy rates and other patient data across diverse treatment groups and diagnoses.
    • Formatted outputs are suitable for clinic surveys and reporting requirements.

    Conclusions:

    • The developed program offers a valuable tool for IVF and GIFT clinics to manage patient data and analyze outcomes.
    • Its statistical capabilities support evidence-based practice and research by enabling data-driven comparisons.
    • The program's design allows for easy modification, promoting adaptability and long-term utility.