Construction and Reliability and Validity Test of Home Care Assessment Scale for Elderly Patients with Chronic Diseases Based on Intelligent Medical Care

Author:

Han Jianghong1,Li Dan2,Guo Cuiping2ORCID,Wang Jing2,Xue Songmei2

Affiliation:

1. School of Nursing, Xinxiang University, Xinxiang, Henan 453003, China

2. Sanquan College of Xinxiang Medical University, Xinxiang, Henan 453003, China

Abstract

The integration of IT with the health field has been the usual, and the introduction of AI technology in the health field will be the current mainstream in the future. General search engines can only perform superficial keyword searches, making it difficult to meet in-depth medical needs. The aging of the population is intensifying, and medical resources are in short supply. The application of remote intelligent medical care is an inevitable move. The aging of the population will lead to a reduction in the labor force, and low-end industries will face the problem of transformation and upgrading. Corporate competition has intensified, and involution has become the norm. However, chronic diseases are not contagious, but the treatment cycle is long. The purpose of this paper is to study the construction and reliability and validity of the home care assessment scale for elderly patients with chronic diseases based on tele-intelligent medical care, so as to help more patients overcome the troubles of chronic diseases. The full name of chronic disease is chronic noncommunicable disease, which does not refer to a specific disease, but to a class of onset insidious, long course of disease and the disease does not heal. It lacks definitive evidence of an infectious biological etiology. A general term for diseases with complex etiologies and some not yet fully recognized diseases. By analyzing the application requirements of intelligent medical real-time monitoring, this paper expounds the transmission function of the system. The experimental data in this paper showed that there were 15 cases of poor nursing care caused by noncompliance with doctor’s orders, accounting for 19%, indicating that patients had poor healthcare awareness and lacked necessary nursing knowledge.

Funder

Sanquan College of Xinxiang Medical College

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

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