Physiological vital signs are important factors for clinical processes like tele-assessment, tele-monitoring and tele-treatment of patients. Records of patient vital signs over time are complex to understand without proper visualisation and data analysis aids. We present a model for interactively visualising vital signs in patient data histories, as used for remote chronic disease management. Our model allows simultaneous access to all vital signs records for the patient along a time-based axis. Clinicians and other health carers can then apply generalisation and refinement ‘lenses’ in a multi-layering visualisation mechanism to examine records further over single or multiple time sessions. The model also includes rule-based decisions for issuing notifications, when expected limits are exceeded.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org