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Application and Statistical Health Analysis of Predictive Nursing in Orthopedic Nursing

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Objective: To investigate the application of predictive nursing guidelines in orthopedic care based on medical imaging and health statistics. Methods: 140 patients were divided into two groups: observation and control. The patients in the control group received routine nursing. The patients in the observation group received the guidance of predictive nursing on the basis of routine nursing. The nursing effects of the two groups were observed. Results: After the implementation of nursing interventions, the complication rate was 4.3% in the observation group and 20.0% in the control group. The difference between the groups was statistically significant (P < 0.05). The satisfaction rate was 97.1%, and the nursing satisfaction of the control group was 90.0%. The difference between the groups was statistically significant (P < 0.05). Discussion: Through observation of patient satisfaction and treatment, especially in orthopedics, patients are differentiated according to different diseases, and predictive care can effectively prevent complications. Conclusion: Predictive care provides preventive measures by comprehensively understanding and comprehensively assessing the patient's condition and developing care measures in a timely and effective manner.

Keywords: COMPLICATION RATE; MEDICAL IMAGING; ORTHOPEDIC CARE; PREDICTIVE NURSING; STATISTICS

Document Type: Research Article

Publication date: 01 October 2019

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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