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Title:
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IMPROVING STUDENT NURSES CLINICAL CARE EXPERIENCE THROUGH THE USE OF A COMPUTERIZED MOBILE HAND-HELD DECISION SUPPORT SYSTEM |
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Author(s):
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Paul J Fortier |
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ISBN:
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978-972-8924-54-6 |
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Editors:
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Inmaculada Arnedillo Sánchez and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Mobile learning, student nursing tool, data mining, knowledge acquisition |
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Type:
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Full Paper |
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First Page:
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61 |
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Last Page:
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68 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Student nurses have numerous diverse hospital, homecare and outpatient care experiences. These clinicals help the
student gain experience in collecting relevant patient symptoms and history, in developing care plans (nursing
interventions) to carry out during a clinical shift. These care plans focus on care interventions aimed at accomplishing
desired patient outcomes. Students are assigned a few patients for a clinical rotation and are supervised by a clinical
nursing faculty during the shift. The nursing faculty acts as a mentor who aids the student nurse in gaining knowledge
and confidence in their abilities to provide correct, timely and safe health care to assigned patients. The problem lies in
moving from this very secure model to developing skills for independent practice. Student nurses lack the background in
clinical care settings to know what information is the most relevant for a specific patient, nor how to apply this
information in selecting the best care intervention for the patient.
The prototype student assistant system built within a mobile PDA as a real-time decision-support system for the student
nurse, utilizes both rule and use-case-based domain knowledge. The prototype system is grounded on a theoretical model
of expert and novice nurse decision making and has the key feature of multi-context-driven decision support.
Secondarily the prototype system has a clinical assessment component aimed at the clinical faculty supervisor for use in
evaluating the student nurses course through a patients care cycle during a clinical experience. The tool is intended to
not simply be a data collection and clinical evaluation tool, but also a teaching tool. In this regard students could input
data (e.g., patients history, current treatment and symptoms) and plan out a scenario of nursing actions and interventions
for a patient prior to their actual clinical experience. They can then use this as a guide through their clinical to see how
conditions change based on real data being collected and interpreted by them or their clinical faculty supervisor. The
paper describes the educational need for this tool, the clinical domain chosen for the prototype, a high level architectural
description of the tool and initial assessment of its utility to the nursing educational domain. |
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