Related Experiment Videos
ARTEMIS-2: an application development experiment with the HELIOS environment
D Lemaitre1, M C Jaulent, U Günnel
1Medical Informatics Department, Broussais University Hospital, Paris.
Computer Methods and Programs in Biomedicine
|December 1, 1994
Summary
Developing the ARTEMIS medical application in the HELIOS environment demonstrates effective strategies for managing complex patient data. This approach highlights the benefits of distributed systems for medical software development.
Area of Science:
- Medical Informatics
- Software Engineering
- Distributed Systems
Background:
- Medical applications are complex systems with diverse data types and processing needs.
- Integrated software engineering environments have transformed application development and developer roles.
- The HELIOS environment offers services for developing distributed medical applications.
Purpose of the Study:
- To detail the development process of the ARTEMIS multimedia application within the HELIOS distributed environment.
- To demonstrate how developers can utilize, customize, and organize HELIOS services.
- To emphasize reuse strategies and integration in medical application development.
Main Methods:
- Development of the ARTEMIS application, a multimedia system for managing hypertensive patient information.
- Utilizing the distributed HELIOS environment and its services.
- Focusing on strategies for service reuse and integration during development.
Main Results:
- A functional ARTEMIS application scenario was realized, showcasing current development status.
- The study illustrates the practical application of HELIOS services in medical software development.
- Demonstrated effective management of administrative, clinical, biological data, and medical images.
Conclusions:
- Distributed environments like HELIOS offer significant advantages for medical application development.
- The ARTEMIS development process highlights the importance of service reuse and integration.
- This approach facilitates the creation of complex, data-rich medical information systems.