| Literature DB >> 35399852 |
Abstract
This study illustrates the construction and application of comprehensive nursing information service platform based on Internet of Things technology. An Internet-based cardiovascular care management platform, convenient before and after platform application, was constructed; 42 patients with cardiovascular disease were selected as the control group and observation group and 33 nurses participated in the same group, and the intervention lasted for 4 months. The control group received routine admission nursing, and the follow-up nursing nurses received traditional face-to-face teaching, training in the form of assessment. The observation group with the help of the cardiovascular specialist nursing management platform, during the whole process of nursing, nurses also manage patients and receive training through the platform. Experiments show the following: As a result, after the application of the platform, the satisfaction rate of nurses and patients on the platform was high, both reaching more than 92%. After the application of the platform, the scores of various nursing indicators were significantly higher than those before application (all P < 0.01). The construction of a cardiovascular specialist nursing management platform based on IoT technology integrates multiple modules on the medical and patient ends, which not only improves the level of nursing management but also improves the satisfaction of nurses and patients and, at the same time, helps to improve the self-value of nurses.Entities:
Mesh:
Year: 2022 PMID: 35399852 PMCID: PMC8991410 DOI: 10.1155/2022/7178531
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 2.682
Figure 1IoT + nursing service system.
Comparison of general data between the two groups.
| Group | Number of columns | Gender | Age | |
|---|---|---|---|---|
| Male | Female | |||
| Control group | 42 | 27 | 15 | 46.03 ± 10.02 |
| Observation group | 42 | 25 | 17 | 44.15 ± 13.06 |
| Statistics |
|
| ||
|
| 0.840 | 0.823 | ||
Satisfaction rate of nurses and patients with the platform after the application of the platform.
| Group | Column/number | Platform security | Content security | Information timeliness | Data accuracy | Interface ease of use |
|---|---|---|---|---|---|---|
| Patient | 25 | 34 (96.17) | 32 (93.28) | 35 (96.59) | 31 (90.42) | 31 (90.45) |
| Nurse | 30 | 28 (95.67) | 27 (92.31) | 29 (96.28) | 28 (95.68) | 28 (93.26) |
Comparison of overall nursing index inspection scores before and after platform application.
| Group | Column/number | Prehospital first aid | Condition assessment | Specialty nursing | Specialist nurse training |
|---|---|---|---|---|---|
| Control group | 22 | 95.23 ± 0.13 | 93.16 ± 0.36 | 91.75 ± 1.68 | 90.87 ± 2.65 |
| Observation group | 22 | 94.67 ± 0.21 | 96.79 ± 0.48 | 95.26 ± 1.56 | 94.82 ± 2.16 |
|
| 40.157 | 23.182 | 6.517 | 5.807 | |
|
| ≤0.001 | ≤0.001 | ≤0.001 | ≤0.001 |
Comparison of nursing hours before and after the application of the information platform.
| Project | Before the application of the information platform | After the application of the information platform | Statistics |
|
|---|---|---|---|---|
| Process and verify medical orders | 4.25 ± 0.05 | 1.87 ± 0.03 | 200.48 | ≤0.001 |
| Temperature chart drawing | 1.02 ± 0.08 | 0.13 ± 0.15 | −6.59 | ≤0.001 |
| Link quality control (nursing documents) | 24.17 ± 1.26 | 8.17 ± 1.84 | 47.56 | ≤0.001 |
| Admission evaluation | 9.56 ± 2.13 | 7.68 ± 2.01 | 5.23 | ≤0.001 |
| Health education | 6.13 ± 1.59 | 5.29 ± 1.18 | 3.58 | ≤0.001 |
Figure 2The mean change trend in the repeated measurement indicators of the traditional method and the intelligent health monitoring system.
Figure 3The mean change trend in the repeated measurement index between the traditional manual method and the intelligent health monitoring system.
Figure 4The mean change trend in repeated measurement indicators of ECG monitoring and intelligent health monitoring system.