Abstract
Objectives: We introduce "Mobile Nurse" (MN) - an emerging platform for the practice of ubiquitous medicine. Methods: By implementing in a dynamic setting of daily life the patient care traditionally provided by the clinical nurses on duty, MN aims at integral data collection and shortening the response time to the patient. MN is also capable of intelligent interaction with the patient and is able to learn from the patient's behavior and disease sign evaluation for improved personalized treatment. Results: In this paper, we outline the most essential concepts around the hardware, software and methodological designs of MN. We provide an example of the implementation, and elaborate on the possible future impact on medical practice and biomedical science research. Conclusions: The main innovation of MN, setting it apart from current tele-medicine systems, is the ability to integrate the patient's signs and symptoms on site, providing medical professionals with powerful tools to elucidate disease mechanisms, to make proper diagnoses and to prescribe treatment.
| Original language | English |
|---|---|
| Pages (from-to) | 130-134 |
| Number of pages | 5 |
| Journal | Methods of Information in Medicine |
| Volume | 46 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
Keywords
- Ecological momentary assessment (EMA)
- Real-time analysis
- Ubiquitous computing
- Wearable sensors
- Wireless technologies
ASJC Scopus subject areas
- Health Informatics
- Advanced and Specialised Nursing
- Health Information Management