Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
University of Southern Queensland · Queensland University of Technology · +4 more institutions
Abstract
Abstract The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient monitoring (RPM) is one of the common healthcare applications that assist doctors to monitor patients with chronic or acute illness at remote locations, elderly people in‐home care, and even hospitalized patients. The reliability of manual patient monitoring systems depends on staff time management which is dependent on their workload. Conventional patient monitoring involves invasive approaches which require skin contact to monitor health status. This study aims to do a comprehensive review of RPM systems including adopted advanced technologies, AI impact on RPM, challenges and trends in AI‐enabled RPM. This…
Citation impact
- FWCI
- 46.69
- Percentile
- 100%
- References
- 169
Authors
7- TSThanveer ShaikCorresponding
University of Southern Queensland
- XTXiaohui Tao
University of Southern Queensland
- NHNiall Higgins
Queensland University of Technology, Royal Brisbane and Women's Hospital
- LLLin Li
Wuhan University of Technology, Wuhan Technology and Business University
- RGRaj Gururajan
University of Southern Queensland
Topics & keywords
- Continuous monitoring
- Remote patient monitoring
- Health care
- Computer science
- Cloud computing
- Wearable computer
- Workload
- Vital signs