Requirements engineering for home care technology
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An integrated approach to supporting interaction evolution in home care systems
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Query-based requirements engineering for health care information systems: Examples and prospects
SEHC '09 Proceedings of the 2009 ICSE Workshop on Software Engineering in Health Care
User-centred multimodal reminders for assistive living
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evolving requirements in patient-centered software
Proceedings of the 3rd Workshop on Software Engineering in Health Care
Computer Methods and Programs in Biomedicine
Requirements engineering meets physiotherapy: an experience with motion-based games
REFSQ'13 Proceedings of the 19th international conference on Requirements Engineering: Foundation for Software Quality
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Health care is characterized by highly complex processes of patient care that require unusual amount of communication between different health care professionals of different institutions. Sub-optimal processes can significantly impact on the patient’s health, increase the consumption of services and resources and in severe cases can lead to the patient death. For these reasons, requirements engineering for the development of information technology in health care is a complex process as well: without constant and rigorous evaluation, the impact of new systems on the quality of care is unknown and it is possible that badly designed systems significantly harm patients. To overcome these limitations, we present and discuss an approach to requirements engineering that we applied for the development of applications for chemotherapy planning in paediatric oncology. Chemotherapy planning in paediatric oncology is complex and time-consuming and errors must be avoided by all means. In the multi-hospital/multi-trial-centre environment of paediatric oncology, it is especially difficult and time-consuming to analyse requirements. Our approach combines a grounded theory approach with evolutionary prototyping based on the constant development and refinement of a generic domain model, in this case a domain model for chemotherapy planning in paediatric oncology. The prototypes were introduced in medical centres and final results show that the developed generic domain model is adequate.