Improving Medical Systems in the United States using Knowledge-Based Systems
Seongwoo Choi

TL;DR
This paper discusses how knowledge-based systems in medical AI can improve healthcare efficiency, reduce costs, and increase patient access by enabling remote monitoring and online health information management.
Contribution
It introduces principles of medical AI knowledge-based systems that facilitate remote patient monitoring and cost-effective healthcare delivery.
Findings
Remote health monitoring improves patient care.
Online access reduces unnecessary medical visits.
Cost savings for patients and healthcare providers.
Abstract
America has one of the best medical systems in the world. The medical treatment care options offered by the medical system make it sophisticated. However, many American patients are not receiving health care on a regular basis, and at the same time, they cannot afford it. Also, the current medical system has many flaws such as high medical treatment costs and lack of doctors to accommodate many patients. This paper presents the principles of medical artificial intelligence called the knowledge based system. Doctors can remotely check and monitor their patients health data, medical history, how and what medical tests were done, and the lab results. The patients have access to detailed health information online and do not need to make an appointment with doctors to check their health on a daily basis. One doctor can check many patients simultaneously online (when medical centers are…
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Taxonomy
TopicsArtificial Intelligence in Healthcare · Artificial Intelligence in Healthcare and Education · Big Data and Business Intelligence
