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Clinical software development for the Web: lessons learned from the BOADICEA project.

Alex P Cunningham¹, Antonis C Antoniou, Douglas F Easton

¹Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge CB1 8RN, UK. alex@srl.cam.ac.uk

BMC Medical Informatics and Decision Making

|April 12, 2012

Summary

This summary is machine-generated.

The BOADICEA Web Application, a clinical genetics tool for breast and ovarian cancer risk assessment, was successfully developed using an evolutionary software process. This approach ensured software reliability, security, and user-friendliness for healthcare professionals.

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Area of Science:

Clinical genetics
Bioinformatics
Software engineering

Background:

Advances in human genomics, open-source software, and the World Wide Web have spurred clinical software development.
Clinical software projects still face traditional software development challenges.
The BOADICEA Web Application was developed to assess cancer risks for patients with a family history.

Purpose of the Study:

Highlight key clinical software development issues.
Demonstrate the utility of software engineering tools for non-experts.
Provide a case report for future clinical software projects.

Main Methods:

An evolutionary software process was employed.
Conventional software engineering tools and techniques were utilized.
Key development activities included requirements gathering, design, implementation, testing, documentation, and maintenance.

Main Results:

The BOADICEA Web Application was developed using a conservative web implementation approach.
The application has been widely adopted by clinical geneticists and researchers globally.
Version 1 was released in November 2007, with over 1200 registered users by May 2010 across multiple continents.

Conclusions:

An evolutionary software process proved effective for developing the BOADICEA Web Application.
Key development issues encountered included software reliability, web security, clinical data protection, and user feedback.
The project highlights the importance of addressing these issues in clinical software development.