Clinical Information Systems and Artificial Intelligence: Recent Research Trends.

Area of Science:

• Health Informatics
• Artificial Intelligence in Healthcare
• Data Science

Background:

• Clinical Information Systems (CIS), Hospital Information Systems (HIS), and Electronic Health Record (EHR) systems are crucial for modern healthcare.
• The integration of these systems generates vast amounts of data with significant analytical potential.

Purpose of the Study:

• To conduct a comprehensive literature review on CIS, HIS, and EHR systems.
• To explore the application of Artificial Intelligence (AI) techniques for analyzing healthcare data collected by these systems.

Main Methods:

• Systematic review of over 7,000 papers from major journals and conferences over the last five years.
• Analysis of more than 200 selected papers focusing on CIS, HIS, EHR, and AI applications in healthcare.

Main Results:

• Development of a taxonomy for major features and research areas of CIS, HIS, and EHR systems.
• Establishment of a taxonomy for the utilization of AI techniques in healthcare data analysis.
• Identification of the most relevant literature based on these defined taxonomies.

Conclusions:

• Highlighted promising research directions and challenges in the field of AI-driven healthcare data analysis.
• Emphasized the need for further investigation into medium- and long-term research opportunities in healthcare informatics and AI.