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Clinical Data Warehouse: An Effective Tool to Create Intelligence in Disease Management
Mahtab Karami1, Azin Rahimi, Ali Hosseini Shahmirzadi
1Author Affiliations: Health Information Management Research Center (HIMRC) and Department of Health Information Technology and Management, School of Allied-Medical Sciences, Kashan University of Medical Sciences (Dr Karami); and English teaching, Scool of Allied-Medical Sciences, Tehran University of Medical Sciences (Dr Rahimi); and Primary Healthcare System, SART Distract PHC Center, Mazandaran University of Medical Sciences (Dr Shahmirzadi), Iran.
Clinical data warehouses help healthcare organizations improve disease management programs. These tools provide insights for better patient care, cost reduction, and population health maintenance.
Area of Science:
- Health Informatics
- Public Health
- Healthcare Management
Background:
- Clinical data warehouses (CDWs) are business intelligence tools used in healthcare.
- Objective assessment of disease management programs impacts patient quality of life and public well-being.
- Disease management programs aim to reduce occurrence, improve care, and lower costs.
Purpose of the Study:
- To describe the benefits of clinical data warehouse applications.
- To highlight the role of CDWs in generating actionable intelligence for disease management.
Main Methods:
- This is a review article.
- The study synthesizes information on CDW applications in disease management.
Main Results:
- CDWs facilitate budgeting, planning, research, and process improvement.
- They enable external reporting, benchmarking, and trend analysis.
- CDWs support decision-making for disease prevention and population health maintenance.
Conclusions:
- Clinical data warehouses are effective tools for enhancing disease management programs.
- Leveraging CDWs can lead to improved patient outcomes and healthcare efficiency.
- CDW intelligence is crucial for proactive population health strategies.
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