Related Experiment Videos
Quality controlling interpretive reporting systems in clinical medicine--a changing responsibility
1Department of Preventive Medicine and Biometrics, University of Colorado Health Science Center, Denver 80262.
Journal of Medical Systems
|June 1, 1988
Summary
This study examines software quality in clinical medicine, highlighting challenges in development and automation. It identifies key factors contributing to inaccurate models and poor software quality control.
Area of Science:
- Computer Science
- Software Engineering
- Medical Informatics
Background:
- The increasing integration of automation in clinical medicine necessitates high-quality computer software.
- Ensuring software quality is crucial for patient safety and effective healthcare delivery.
Purpose of the Study:
- To analyze factors impacting computer software quality in clinical settings.
- To discuss challenges in software development and quality control for medical automation.
Main Methods:
- Review of current trends in software design.
- Analysis of responsibilities in clinical automation projects.
- Examination of system development characteristics influencing model accuracy.
Main Results:
- Software development for clinical medicine faces unique quality control difficulties.
- Specific system development traits are linked to the creation of inaccurate models.
- Current trends and responsibilities in medical software design are discussed.
Conclusions:
- Addressing the identified challenges is vital for improving software quality in clinical medicine.
- Understanding system development characteristics can lead to more accurate medical models.
- Clearer definition of responsibilities is needed for successful clinical automation.