Jove
Visualize
Contact Us

Related Experiment Videos

Writing software for the clinic

I I Rosen1

  • 1Department of Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston 77030, USA. irosen@notes.mdacc.tmc.edu

Medical Physics
|April 21, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Phase I study of concomitant gemcitabine and IMRT for patients with unresectable adenocarcinoma of the pancreatic head.

International journal of gastrointestinal cancer·2003
Same author

Correlation between lung fibrosis and radiation therapy dose after concurrent radiation therapy and chemotherapy for limited small cell lung cancer.

Radiology·2001
Same author

Beam-commissioning methodology for a three-dimensional convolution/superposition photon dose algorithm.

Journal of applied clinical medical physics·2001
Same author

On the need for monitor unit calculations as part of a beam commissioning methodology for a radiation treatment planning system.

Journal of applied clinical medical physics·2001
Same author

Optimization of beam orientations and weights for coplanar conformal beams in treating pancreatic cancer.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists·2000
Same author

Prostate cancer treatment with radiotherapy: maturing methods that minimize morbidity.

Seminars in oncology·1999
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Medical physicists can minimize software errors by following best practices in design, implementation, and testing. Adhering to these software development processes improves quality and reduces maintenance for clinical applications.

Area of Science:

  • Medical Physics
  • Software Engineering

Background:

  • Medical physicists develop software for scientific, educational, and clinical use.
  • Software errors in clinical settings can lead to patient harm, while errors in other applications waste resources.

Purpose of the Study:

  • To outline best practices for software development to reduce errors and improve quality.
  • To emphasize the importance of a structured development process for medical software.

Main Methods:

  • The study details a four-step software development process: specifications, design, implementation, and testing.
  • Key practices include simple design, extensive documentation, continuous testing, and planning for upgrades and unexpected use.

Main Results:

  • Implementing these practices can significantly reduce software errors and improve overall quality.

Related Experiment Videos

  • Thorough testing, especially continuous testing during development, is crucial for identifying and fixing errors efficiently.
  • Conclusions:

    • While error-free software is unattainable, adopting robust development and testing methodologies is essential for medical physics applications.
    • Investing additional effort in testing and validation is critical for ensuring the reliability and safety of clinical software.