Analysis of the Exploration of Security and Privacy for Healthcare Management Using Artificial Intelligence: Saudi Hospitals

Abstract

A large component of the Health Information Systems now comprises numerous independent apps created in the past that need to be merged to provide a more uniform service. In addition to affecting the Intelligent Health Board Functionality and dependability, the quality of these additional apps may also have an impact. A critical characteristic of the SHS's management and upkeep is the SHS's reliance on the real benefits provided to it. In speaking, an HMIS (Healthcare Management Information System) is a computer-based device that benefits medical practitioners to perform their duties more efficiently by coordinating all of their data. Even though these systems are widely used by most of the world, there is a significant need to comprehend these technologies and indeed the potential they provide. Healthcare data warehouses in Saudi Arabia have evolved through time, and this research examines how key service improvements in Saudi present varied viewpoints on how premium initiative help may be attained in health as well as how this could be done. When it comes to understanding how different types of medical professionals interact with healthcare systems throughout history, researchers developed stages of the maturity model.

Toward a Comprehensive Framework for Ensuring Security and Privacy in Artificial Intelligence

“…AI security involves implementing security measures, audits, and controls that prevent unauthorized access and malicious manipulation of systems. On the other hand, privacy in AI focuses on safeguarding personal data, including obtaining proper consent and preventing unauthorized disclosures [6,7]. To achieve data protection, encryption techniques, anonymization, and minimization of the collection of personal information are used.…”