Analysis of the Romanian Healthcare System on the Basis of Relevant Indicators and the Perspectives for the Use of Artificial Intelligence

Author:

Boghicevici Claudia1

Affiliation:

1. Bucharest University of Economic Studies , Doctoral School of Management, Romania

Abstract

Abstract Healthcare systems are integral to the well-being of societies, serving as the backbone for delivering health services and improving public health outcomes. The healthcare system in Romania is a critical component of the country's socio-economic framework, with its performance directly affecting the health and development of the population. While there have been improvements in certain areas, challenges such as underfinancing, human resource issues and inequitable access to care remain. Artificial intelligence (AI) in healthcare represents a significant shift towards more efficient, precise, and personalized medical care. It encompasses a range of applications from diagnostics to treatment recommendations, patient engagement, and administrative tasks, aiming to enhance the quality and accessibility of healthcare services. The purpose of this study is to analyze the healthcare system in Romania using data on healthcare infrastructure (medical units), medical staff, population, hospital beds and investments. Additionally, it aims to organize ideas regarding the use and perspectives for the development of artificial intelligence in the Romanian healthcare system. A spatial distribution of indicators is created, highlighting the most significant areas in the Romanian healthcare system. Healthcare systems are essential for providing healthcare and promoting public health. Effective health systems promote economic growth, ensure equitable access to healthcare, and respond to public health emergencies.

Publisher

Walter de Gruyter GmbH

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3