Abstract
Patients undergoing chemotherapy want specific information on potential toxicities of their treatment. Such information includes what side-effects they are likely to experience, how severe these side-effects will be, how long they will experience them for, and the best ways of managing them. As well as improving the experiences; of patients, information about potential side-effects may also be of significant benefit clinically,as patients who are 'at risk' of developing certain toxicities may be identified, facilitating more targeted,cost-effective interventions. This paper describes research that uses risk-modelling techniques for identifying patterns in patient side-effect data to aid in predicting side-effects patients are likely to experience. Through analysis of patient data, a patient can receive information specific to the symptoms they are likely to experience. A user-friendly software tool ASyMS©-SERAT (Advanced Symptom Management System-Side-Effect Risk Assessment Tool) has been developed, which presents side-effect information to the patients both at the start of treatment and reviews and monitors predictions with each new cycle of chemotherapy received.
Original language | English |
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Title of host publication | HEALTHINF 2008 |
Subtitle of host publication | Proceedings of the First International Conference on Health Informatics |
Editors | L Azevedo, AR Londral |
Place of Publication | Setubal |
Publisher | Institute for Systems and Technologies of Information, Control and Communication |
Pages | 225-230 |
Number of pages | 6 |
Volume | 2 |
ISBN (Print) | 9789898111166 |
Publication status | Published - 2008 |
Event | International Conference on Health Informatics - Funchal, Portugal Duration: 28 Jan 2008 → 31 Jan 2008 http://www.healthinf.biostec.org/HEALTHINF2008/ |
Conference
Conference | International Conference on Health Informatics |
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Abbreviated title | HEALTHINF 2008 |
Country/Territory | Portugal |
City | Funchal |
Period | 28/01/08 → 31/01/08 |
Internet address |
Keywords
- risk modelling
- side-effect prediction
- cancer chemotherapy
- POPULATION-BASED ASSESSMENT
- BREAST-CANCER
- SURVIVAL PREDICTION
- INDUCED NEUTROPENIA
- HOSPITALIZATIONS
- INFORMATION
- SYMPTOMS
- THERAPY
- TIME