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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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ISSN: 1645-7641 |
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Editors:
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Pedro Isaías |
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Year:
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2008 |
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Edition:
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V VI, II |
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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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Journal Paper |
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First Page:
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58 |
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Last Page:
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72 |
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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 clinical
experiences 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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