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Title:      HAND-HELD REMOTE DECISION SUPPORT AID FOR THE NOVICE NURSE
Author(s):      P. Fortier , H. Michel , N. Dluhy , E. Oneill
ISBN:      ISSN: 1645-7641
Editors:      Pedro Isaías
Year:      2004
Edition:      Single
Keywords:      Data mining, wireless DSS, novice nursing tool.
Type:      Journal Paper
First Page:      29
Last Page:      42
Language:      English
Cover:      no-img_eng.gif          
Full Contents:      click to dowload Download
Paper Abstract:      The statement, data rich and information poor, holds for the clinical nursing decision support domain. Modern hospitals are well equipped with monitoring and other data collection devices which provide relatively inexpensive means to collect and store patient data in inter and intra hospital information systems. The problem lies in how this stored data is utilized to support nurses’ patient care decisions. In typical environments collected information is used to aid in monitoring patient care for use in billing decisions not to improve patient outcomes. The novice nurse who has frontline responsibility for managing patient symptoms, monitoring complications, and anticipating preventative measures, however, may not have access to this information in a timely manner to aid in patients’ outcomes. In addition, traditional evidence-based knowledge and standardized guides, such as clinical algorithms supporting off-line clinical nursing decisions are not available for on-line real-time access. To alter this state, we are developing an integrated hand-held remote patient monitoring, analysis and decision support aid for the novice nurse linked wirelessly to the typical hospitals wealth of patient care data stored on a central server. This paper describes research to develop a prototype Decision Support System (DSS) to guide novice nurses in traversing the nursing diagnostic process without limiting the nurses’ choice at all times to perform the most suitable and appropriate and beneficial action towards the patient.
   

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