HIDA 2025

The rapid advancement of technology and the increasing volume of health-related data have transformed the landscape of healthcare and medical research. Health informatics and data analytics have emerged as critical fields that enable efficient data management enhanced decision-making and improved patient outcomes. However the growing complexity of data coupled with privacy concerns and the need for interoperability presents significant challenges that necessitate innovative solutions and collaborative efforts among researchers practitioners and policymakers.

2025 International Conference on Health Informatization and Data Analytics （HIDA 2025） seeks to address these challenges by bringing together leading experts researchers and stakeholders from academia industry and healthcare sectors. The conference aims to foster interdisciplinary dialogue and collaboration exploring cutting-edge methodologies tools and technologies that advance health informatics and data analytics.

HIDA 2025 will cover a wide range of topics including but not limited to artificial intelligence in healthcare data mining techniques electronic health records telemedicine and the ethical implications of health data use. Participants will have the opportunity to share their research findings attend insightful workshops and engage in discussions that highlight the latest trends and innovations.

By facilitating knowledge exchange and collaboration HIDA 2025 aspires to contribute to the development of effective solutions that enhance health informatics and data analytics ultimately improving healthcare delivery and outcomes globally. Join us in shaping the future of health informatics!

Important Dates

Submission Deadline：April 20 2025

Notification Deadline：May 10 2025

Registration Deadline：June 1 2025

Conference Dates：June 13-15 2025

Call For Papers

The topics of interest for submission include but are not limited to:

Track 1: Health Informatics Innovations

• Integrating Artificial Intelligence in Clinical Decision Support Systems
• Electronic Health Records: Enhancements and Interoperability
• Predictive Analytics for Patient Outcomes in Chronic Diseases
• Telehealth: Innovations in Remote Patient Monitoring
• Machine Learning Algorithms in Health Data Analysis
• Health Information Exchange: Challenges and Solutions
• Cybersecurity Measures in Health Informatics
• User Experience Design in Health Technology Applications
• Mobile Health Applications: Trends and Impact on Patient Engagement
• Blockchain Technology in Healthcare Data Management
• Big Data Analytics for Population Health Management
• Natural Language Processing in Clinical Documentation
• Digital Therapeutics: Evidence and Applications
• frameworks for Assessing Health Informatics Interventions
• Ethics and Patient Privacy in Health Data Analytics
• Workforce Development for Health Informaticians
• Usability Testing of Health Information Systems
• Healthcare IT Project Management Best Practices
• Role of Health Informatics in Pandemic Response

Track 2: Intelligent Healthcare

• Advanced Data Mining Techniques for Health Insight Discovery
• Real-time Data Analytics for Emergency Response in Healthcare
• Sentiment Analysis of Patient Feedback: Methods and Implications
• Visual Analytics for Health Data Interpretation
• Predictive Modelling in Disease Outbreak Prediction
• Data-Driven Strategies for Improving Patient Safety
• Utilization of Wearable Technology Data in Health Analytics
• Integrating Genomic Data into Patient Care Analytics
• Social Determinants of Health: Data Collection and Analysis
• Evaluating the Impact of Data Analytics on Clinical Practice
• Comparative Effectiveness Research through Health Data Analytics
• Machine Learning in Drug Development and Clinical Trials
• Geospatial Analytics to Address Health Disparities
• Data Governance in Healthcare Analytics
• frameworks for Health Data Visualization
• Leveraging Cloud Computing for Health Data Analysis
• Developing Predictive Models for Health Resource Allocation
• Enhancing Patient Cohort Identification through Data Analytics
• Case Studies in Successful Data Analytics Implementation in Healthcare

Publication

Submit to Conference Proceedings （EI）

All papers both invited and contributed will be reviewed by two or three experts from the committees. After a careful reviewing process all accepted papers of HIDA 2025 will be published in Conference Proceedings which will be aubmitteed to  EI Compendex Scopus for indexing

Note: All submitted articles should report original research results experimental or theoretical not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.