Describing the Use of Decision Support Technology to Generate Nursing Care Plan Knowledge Base for Clinical Patients Health

2.50
Hdl Handle:
http://hdl.handle.net/10755/201587
Type:
Presentation
Title:
Describing the Use of Decision Support Technology to Generate Nursing Care Plan Knowledge Base for Clinical Patients Health
Abstract:
(41st Biennial Convention) Background: The implementation of electronic medical records has become a mainstream information technology development around the world, than in foreign countries, hospitals in Taiwan information technology resources in the care plan decision-making considerably less. Objective: To explore the information technology decision support system for care plan usage. Methods: a retrospective study, the database of nursing information systems acquisition, subjects were self-care theory Orem's eleven systems and revised version of the NANDA nursing care plan 63. During the study period from January 1, 2008 to December 10, 2010, to SPSS 13.0 for Windows descriptive statistical analysis. Results: In the past three years, based on Orem's self care theory nursing assessment, the first automatically generated using decision resources are the common system of water (140820/493885, 29%); medication history of (87377/493885 17% ); Medication compliance (79332/493885, 16%); active and rest (46934/493885, 10%). Then generated by the nursing staff to determine the top three in order were water (7756/10455, 74%); air (1239/10455, 12%); activities and rest (775/10455, 7%). Finally, the system generated by the care plan are the first water system is a potential risk of infection, accounting for 84% (6507/7756); air system was ineffective airway clearance, accounting for 72% (890/1239); activities and rest system was the potential risk of injury - falls, accounting for 87% (672/775). Conclusions: Recommended as a teaching nursing students or new staff to set the use of patient health problems; nursing research to establish the first empirical guidelines for chest care; clinical practice, thoracic localization construction plan and clinical pathway of care based on patient classification reference.
Keywords:
nursing plan information; decision support systems
Repository Posting Date:
11-Jan-2012
Date of Publication:
4-Jan-2012
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleDescribing the Use of Decision Support Technology to Generate Nursing Care Plan Knowledge Base for Clinical Patients Healthen_GB
dc.identifier.urihttp://hdl.handle.net/10755/201587-
dc.description.abstract(41st Biennial Convention) Background: The implementation of electronic medical records has become a mainstream information technology development around the world, than in foreign countries, hospitals in Taiwan information technology resources in the care plan decision-making considerably less. Objective: To explore the information technology decision support system for care plan usage. Methods: a retrospective study, the database of nursing information systems acquisition, subjects were self-care theory Orem's eleven systems and revised version of the NANDA nursing care plan 63. During the study period from January 1, 2008 to December 10, 2010, to SPSS 13.0 for Windows descriptive statistical analysis. Results: In the past three years, based on Orem's self care theory nursing assessment, the first automatically generated using decision resources are the common system of water (140820/493885, 29%); medication history of (87377/493885 17% ); Medication compliance (79332/493885, 16%); active and rest (46934/493885, 10%). Then generated by the nursing staff to determine the top three in order were water (7756/10455, 74%); air (1239/10455, 12%); activities and rest (775/10455, 7%). Finally, the system generated by the care plan are the first water system is a potential risk of infection, accounting for 84% (6507/7756); air system was ineffective airway clearance, accounting for 72% (890/1239); activities and rest system was the potential risk of injury - falls, accounting for 87% (672/775). Conclusions: Recommended as a teaching nursing students or new staff to set the use of patient health problems; nursing research to establish the first empirical guidelines for chest care; clinical practice, thoracic localization construction plan and clinical pathway of care based on patient classification reference.en_GB
dc.subjectnursing plan informationen_GB
dc.subjectdecision support systemsen_GB
dc.date.available2012-01-11T10:41:42Z-
dc.date.issued2012-01-04en_GB
dc.date.accessioned2012-01-11T10:41:42Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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