Open AccessAI Health Check Monitoring and Managing Content Up and Data in CMS World
Author(s) -
Harish Paruchuri
Publication year - 2018
Publication title -
malaysian journal of medical and biological research
Language(s) - English
Resource type - Journals
eISSN - 2313-0016
pISSN - 2313-0008
DOI - 10.18034/mjmbr.v5i2.554
Subject(s) - software deployment , health care , big data , computer science , applications of artificial intelligence , artificial intelligence , knowledge management , data science , data mining , operating system , economics , economic growth
The advent of artificial intelligence (AI) as a means for improved health care bids extraordinary prospects to advance clinical lineup results and patient, reduce costs, and influence populace health. A1 health check monitoring jobs can take care of executing certain basic and advice rules of cleaning up repositories of data which are not getting used to managing the assets which are referred for a long time deleted that big companies with huge contents and assets struggle in keeping the server up and running 24/7. Thus, the objective of this article is to understand the “why to” and the “how-to” of employing all the major health systems in the CMS world. Also review artificial intelligence when compared to human intelligence in the health sector, Data bias, diversity in artificial intelligence teams, and impacts of artificial intelligence on the patient-provider relationship. To give this subject matter, we deployed literature approaches to examine major content that will help in achieving the purpose of this study. The review shows the need for a combination of artificial intelligence and human intelligence produces an augmented intelligence that focuses on creating a more assisting and supportive role for the algorithm. Also, it portrays trust, equity and inclusion need to be prioritized in the healthcare artificial intelligence development and deployment processes, and data management.