발간년도 : [2022]
| 논문정보 |
|
| 논문명(한글) |
[Vol.17, No.6] A study of Intelligent Remote Digital Healthcare System Based on Cloud Computing |
|
| 논문투고자 |
Uk-Hyun Lee |
|
| 논문내용 |
Population growth and demand for high levels of well-being and health care are significant challenges for new technologies in the health care sector. Monitoring of the patient's health status and medical parameters is essential in the doctor's diagnosis process. This paper proposes a new approach for intelligent remote patient monitoring (RPM), a remote digital healthcare solution. This approach centralizes a cloud-based intelligent remote patient monitoring architecture method to collect and analyze patient data so that healthcare organizations can make better decisions. This paper proposes a system architecture that includes all major groups of components of a healthcare service system, such as patients, hospitals, insurance companies, and controllers. The proposed solution will be fully cloud-based, allowing hospitals to achieve more cost-effective management, speeding up medical processes and improving the quality of healthcare services. The main purpose of the proposed solution is to monitor patients' health status and generate alerts when undesirable medical conditions are predicted through AI-based data analysis. The solutions proposed in this way help reduce waiting times in emergency rooms in hospitals. It also helps prevent patients from staying in the hospital for long periods of time. The IRPM (Intelligent Remote Patient Monitoring) cloud-based architecture helps to perform continuous health monitoring in daily life and achieve higher diagnostic accuracy and higher quality of life. |
|
| 첨부논문 |
|
|
|
|
|
자료실 > 논문지 
