E-Health System Characteristics, Medical Performance, and Healthcare Quality at Jordan’s Health Centers

Abstract

This research explores how e-health systems’ features (information quality, quality of the system, usability perceived, and perceived usefulness) contribute to improving medical personnel performance in medical centers, patient care, and physician-patient interactions in Jordan. The objective is to evaluate a single integrated model consisting of the technology acceptance model. This study used the logical research method and approach. A collection of data from 212 medical personnel working in 19 healthcare facilities throughout Jordan were gathered. To analyze the data collected and test the hypotheses of the research, a partially square/structural equation modeling method has been employed. The study found that the health information system (HIS) information quality has a direct and indirect beneficial effect on the performance of the staff, beneficial effects on patient care alone, and only favorable, indirect effects on the doctor-patient relationship. On the contrary, system quality was shown to influence directly and indirectly and to have a direct and indirect beneficial effect both on the connection between doctors and patients. Remember that the HIS has accessibility, speed, and mistake detection and avoids error issues. These shortcomings are suggested to be rectified in conjunction with improved user perception towards easy usage and utilization of the system.

Nursing Care Systematization with Case-Based Reasoning and Artificial Intelligence

“…This is why a program called “interface generator,” which can link form fields to 3D models generated by Freemind, has been developed to read the XML files generated by Freemind and provide the results in a certain structure. Making use of the three-dimensional object modeller MakeHuman [ 14 ], the source code can replicate and even deform human traits like age, weight, height, and sex. This adds a high degree of realistic realism.…”

Detection of WBC, RBC, and Platelets in Blood Samples Using Deep Learning

“…Deep learning (DL) algorithms are employed in various fields, including medical, economics, education, e-commerce, and virtual games. DL is emerging as a viable alternative to traditional job execution and automation methods [ 3 , 4 ]. Deep learning is being used in some health-related projects to improve decision-making.…”

[Retracted] Assessment of the Knowledge Level of First Aid among Medical Students in Work Environment

“…Likewise, Princess Norah University conducted a study in 2019 with a sample size of 1000 female students to determine the knowledge of medical students and nonmedical students about first aid skills. It was shown by the result that only 34.7% had excellent knowledge, 57.5% had medium knowledge, and 7.8% had poor first aid knowledge [ 7 , 8 ]. A study was also conducted in 2019 at Taif University about the awareness, knowledge, attitudes, and practices of first aid skills among medical and nonmedical students.…”