The main purpose of this work is to represent an alternative effective model for measuring the quality of healthcare (SERVQUAL) considering the geographical location of the under examination healthcare sectors. Based on that consideration, a new modeling is taking place introducing a spatial interaction between neighboring regions (spatial-SERVQUAL model). New directions are analyzed implementi...

Healthcare professionals speculate about the effects of poses and pose manipulation in healthcare. Anecdotal observations indicate that patient poses and motion affect recovery. Motion analysis using human observers puts strain on already taxed healthcare workforce requiring staff to record motion. Automated algorithms and systems are unable to monitor patients in hospital environments without ...

background and objectives:job burnout is a major source of healthcare human resources inefficiency with severe negative impact on patient care, physical-psychological health of staff, and healthcare costs. psychological empowerment is a relatively new concept showing promise in boosting different aspect of human resources management. in this study, we pursued the question of whether psychologic...

The monitoring of physiological parameters using wearable (bio-) sensors military personnel is a progressing process within the environment. It sets high demands on such devices, in order to support healthcare and performance personnel. To get an ovierview current status use, evaluation implementation military, May 2021, Multinational Medical Coordination Centre / European Command has organized...

Internet of Things (IoT) is an indispensable paradigm to assimilate several computing and communication technologies. IoT network connects different smart objects together via Internet and providing more data exchange from anyplace, anytime, connectivity for anyone. The perpetual rise of chronic diseases leads to an expanding demand for constant monitoring and also created a major incentive to ...

Natural language processing (NLP) is critical for improvement of the healthcare process because it can encode clinical data in patient documents. Many clinical applications such as decision support require coded data to function appropriately. However, in order to be applicable for healthcare, performance must be adequate. A valuable automated application is the detection of infectious diseases...

background and objectives: working in hospital is stressful, and this may result in deviant behaviors of clinical staff and thus irreparable damages to the patients’ health. it is, therefore, crucial to empower hospital workers in managing job stress to ensure high quality of healthcare. psychological and social capitals have been shown to influence organizational behaviors of the employees. th...

Background: Occurs as a result of long-term exposure to stress, job burnout threatens the health of personnel. Objectives: Considering the important role of healthcare personnel in maintaining and promoting people’s health, the current study investigated the job burnout frequency and its association with job performance among healthcare personnel. Methods: This correlational and cross-s...

Elevated pulmonary artery pressure (PAP) is a significant healthcare risk. Continuous monitoring for patients with elevated PAP is crucial for effective treatment, yet the most accurate method is invasive and expensive, and cannot be performed repeatedly. Noninvasive methods exist but are somewhat inaccurate, expensive, and cannot be used for continuous monitoring. We present a machine learning...