Title |
An ontology-based nurse call management system (oNCS) with probabilistic priority assessment
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Published in |
BMC Health Services Research, February 2011
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DOI | 10.1186/1472-6963-11-26 |
Pubmed ID | |
Authors |
Femke Ongenae, Dries Myny, Tom Dhaene, Tom Defloor, Dirk Van Goubergen, Piet Verhoeve, Johan Decruyenaere, Filip De Turck |
Abstract |
The current, place-oriented nurse call systems are very static. A patient can only make calls with a button which is fixed to a wall of a room. Moreover, the system does not take into account various factors specific to a situation. In the future, there will be an evolution to a mobile button for each patient so that they can walk around freely and still make calls. The system would become person-oriented and the available context information should be taken into account to assign the correct nurse to a call.The aim of this research is (1) the design of a software platform that supports the transition to mobile and wireless nurse call buttons in hospitals and residential care and (2) the design of a sophisticated nurse call algorithm. This algorithm dynamically adapts to the situation at hand by taking the profile information of staff members and patients into account. Additionally, the priority of a call probabilistically depends on the risk factors, assigned to a patient. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Germany | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Portugal | 1 | 2% |
Switzerland | 1 | 2% |
Unknown | 63 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 32% |
Student > Ph. D. Student | 10 | 15% |
Researcher | 7 | 11% |
Student > Bachelor | 6 | 9% |
Student > Doctoral Student | 5 | 8% |
Other | 10 | 15% |
Unknown | 6 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 22% |
Medicine and Dentistry | 13 | 20% |
Nursing and Health Professions | 8 | 12% |
Engineering | 7 | 11% |
Business, Management and Accounting | 4 | 6% |
Other | 9 | 14% |
Unknown | 10 | 15% |