The Effects of Electronic Health Records on Medical Error Reduction: Extension of the DeLone and McLean Information System Success Model.

Background: Medical errors are becoming a major problem for health care providers and those who design health policies. These errors cause patients' illnesses to worsen over time and can make recovery impossible. For the benefit of patients and the welfare of health care providers, a decrease in these errors is required to maintain safe, high-quality patient care.

Electronic health records model to improve the quality of patients' healthcare.

Background: Electronic health records (EHR) has been acknowledged for bringing down healthcare costs and enhancing hospital service standards.

Aim: The aim of this study was to develop an EHR model to lower patient treatment costs and enhance healthcare quality in South African public healthcare.

Methods: In this study, a cross-sectional quantitative methodology was used.

Investigating the influencing factors of evidence-based healthcare practice adoption.

Background:  In healthcare facilities, evidence-based healthcare practice (EBHP) is becoming more widely acknowledged as a critical element of patient care delivery. An increasingly important component of EBHP is the implementation of electronic health records (EHRs).

Objectives:  This study aims to investigate factors that influence EBHP adoption in public healthcare institutions in South Africa.

mHealth Self-Monitoring Model for Medicine Adherence of Patients With Diabetes in Resource-Limited Countries: Structural Equation Modeling Approach.

Background: The COVID-19 pandemic has led to serious challenges and emphasized the importance of using technology for health care operational transformation. Consequently, the need for technological innovations has increased, thus empowering patients with chronic conditions to tighten their adherence to medical prescriptions.

Objective: This study aimed to develop a model for a mobile health (mHealth) self-monitoring system for patients with diabetes in rural communities within resource-limited countries.