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Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Current Trends in Nursing II

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

Methods Of Healthcare Delivery System

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...

Health Information Technology and Healthcare Information System

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Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Holter Monitor: 24-Hour Monitoring

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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...

Models of Health Promotion and Illness Prevention I

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...

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Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

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Getting Connected to M-Health Technologies through a Meta-Analysis.

Luiz Philipi Calegari¹, Guilherme Luz Tortorella², Diego Castro Fettermann¹

¹Department of Industrial Engineering, Federal University of Santa Catarina, Florianópolis 8040-900, SC, Brazil.

International Journal of Environmental Research and Public Health

|March 11, 2023

Summary

User perception is key for adopting mobile e-health (m-health) technologies. This meta-analysis synthesizes factors influencing user acceptance, guiding future m-health development and integration into daily life.

Keywords:

Internet of Things consumer acceptance consumer behavior health management healthcare information technology m-health management technology meta-regression mobile health

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Area of Science:

Digital Health
Human-Computer Interaction
Health Informatics

Background:

Mobile e-health (m-health) adoption is growing, driven by technological advancements.
User perception of utility is crucial for integrating m-health into daily life.
Understanding user acceptance factors is vital for successful m-health implementation.

Conclusions:

User acceptance of m-health systems is determined by a compilation of factors and moderating variables.
The findings provide a comprehensive overview of determinants for m-health adoption.
Understanding these factors is essential for enhancing the utility and integration of m-health technologies.