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Data base management system for assisted reproduction.

D S Guzick¹, J Boles, R Schadle

¹Department of Obstetrics and Gynecology, University of Pittsburgh School of Medicine, Pennsylvania 15213.

Journal of in Vitro Fertilization and Embryo Transfer : IVF

|October 1, 1990

Summary

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The prognostic profile of subfertile couples and treatment outcome after expectant management, intrauterine insemination and in vitro fertilisation: a study protocol for the meta-analysis of individual patient data.

BJOG : an international journal of obstetrics and gynaecology·2012

Managing data from fertility treatments like in vitro fertilization (IVF) and gamete intrafallopian transfer (GIFT) is complex. A new database system simplifies record-keeping and reporting for these advanced reproductive technologies.

Area of Science:

Reproductive Medicine
Biotechnology
Health Informatics

Background:

Assisted reproductive technologies (ART) such as in vitro fertilization (IVF) and gamete intrafallopian transfer (GIFT) generate extensive patient data.
Concurrent patient treatment, diverse data sources, and use of donor gametes or cryopreservation complicate data management.
Accurate and timely record-keeping is essential for patient care and regulatory compliance in ART programs.

Purpose of the Study:

To develop a comprehensive database management system tailored for IVF and GIFT programs.
To address the challenges of data volume, complexity, and specialized requirements in ART.
To improve the efficiency and accuracy of data handling in fertility clinics.

Main Methods:

Development of a personal computer network-based database management system.

Related Experiment Videos

System designed to handle the specific data characteristics of IVF and GIFT procedures.

Incorporation of features for individual patient reporting, aggregate data summaries, and regulatory submissions.

Main Results:

The system generates detailed individual patient reports for each treatment cycle.
Provides capabilities for aggregate data reporting (monthly, quarterly, yearly).
Automates summaries for submission to the American Fertility Society National Registry.
Enables the creation of raw data files for statistical analysis.

Conclusions:

The developed database system effectively manages the complex data generated by IVF and GIFT.
Offers significant improvements in reporting, data summarization, and statistical analysis capabilities.
Facilitates streamlined operations and enhanced data utilization in ART programs.