Intelligent Alarm System-Based Devices Designed for People with Disabilities, Caused by Various Chronic Diseases

Jundishapur Journal of Chronic Disease Care

article

RoshanakTirdad¹  PiruzNami²  ShayanSamieyan²  Fakher Rahim³ 

[1] Neurology Department, Golestan Hospital, Ahvaz Jundishapur Medical University;Islamic Azad University, Ahvaz Branch;Health Research Institute, Research Center of Thalassemia and Hemoglobinopathies, Ahvaz Jundishapur University of Medical Sciences

关键词: Computer Network;    Information Systems;    Wireless Technology;    Decision Support Systems;    Chronic Disease;   

DOI  :  10.5812/jjcdc.116938

来源: Kowsarmedical

【 摘 要 】

Context: Chronic diseases (CD) are defined as symptoms or disabilities, caused by diseases, genetic factors, and injury requiring long-term treatment. Intelligent alarm systems, which collect patient health data and transfer it to a medical server, help track and avoid future incidents. Method: The search terms were “computer network” OR “information systems” OR “wireless technology” OR “decision support systems” AND “chronic disease” OR “chronic disease” in major electronic databases, including Pubmed/Medline, Scopus, Embase, ISI Web of Science, and Cochrane Central. Results: The search resulted in 1275 articles with 11 specific to intelligence-based systems in chronic medical conditions until 08 June 2021. The creation of different access levels for care providers in the system and application customization according to CD conditions were the goals that can be achieved in future research. The human-computer interface (HCI) systems, smart home, and software, such as Fitbit using IoMT to monitor health metrics in people with different CDs, are introduced so far. Conclusions: These systems, if provided on the web and mobile platform, can be accessed at any time and place and are more efficient. Finally, the combination of clinical decision support systems with artificial intelligence has beneficial effects on physician's systems, increases the accuracy in CD diagnosis, and improves the pain management. This intelligent system demonstrates factors influencing back to work and allows identifying high-risk patients and their potential to handle activities of daily living.

【 授权许可】

Unknown