What impact does predictive modelling on creating successful treatment plan for patients with diagnosis of Alzheimer’s disease?

What impact does predictive modelling on creating successful treatment plan for patients with diagnosis of Alzheimer’s disease?

Research question

What impact does predictive modelling on creating successful treatment plan for patients with diagnosis of Alzheimer’s disease?

Alzheimer’s disease is one mental problem that mostly affects the elderly population. This disease is characterized by a progressive memory loss leading to impaired cognitive functions. The condition is usually chronic hence affect the patient for a long time. Patients with, therefore, disease have a reduced quality of life coupled with continuous treatments. Use of predictive modeling technology in the management of this patient can play a significant role in creating a successful treatment plan for the condition. Predictive modeling technology has several benefits for both the patient and the provider of healthcare.

Predictive analysis or modeling in healthcare improves the accuracy of diagnosis. For patients with Alzheimer’s disease, using the predictive modeling technology help the primary care physicians to make an accurate diagnosis of the bug regarding the staging and presence of other comorbid condition such as dementia. To achieve this, the clinicians use the predictive algorithm provided by this model to assess for the stage of the disease and the presence of other conditions (Wang, Kung, & Byrd, 2018). As a result, the patient is usually screened using this model before being discharged home to promote patient safety and quality of life.

Predictive modeling technology play a significant role in preventive disease medicine and public health. In this case, this analytic technology helps care providers to prevent diseases and their complications from advancing by identifying populations at risk (Ritchie et al., 2015). Alzheimer’s disease patients are at risk of developing other mental condition such as dementia or promoting to the severely chronic stage that will acutely reduce the health status and life of patients. Therefore, primary care physicians use this model to screen the Alzheimer’s disease patients under their care for possible complications or deterioration. Knowledge gained about the disease using this analytic model is therefore used to implement safety precautions such as lifestyle changes that promote disease recovery. The model, thus, transforms the care of Alzheimer’s disease from curative to preventive since prevention is better than cure (Wang, Kung, & Byrd, 2018).

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