INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL
Scope & Guideline
Transforming Information Research for Tomorrow's Scholars.
Introduction
Aims and Scopes
- Healthcare Informatics and Data Management:
Research focusing on the management and utilization of health data, including electronic health records (EHR), personal health records, and data interoperability to enhance healthcare delivery. - Artificial Intelligence and Machine Learning Applications:
Exploration of AI and machine learning methodologies for predictive analytics, diagnostic support, and improving clinical decision-making processes within healthcare. - Digital Health Innovations:
Studies on the development and implementation of digital health technologies, including mobile health applications, telemedicine, and remote patient monitoring systems. - Ethical and Societal Implications of Health Technology:
Examination of ethical considerations, public attitudes, and societal impacts related to the adoption of health technologies and data privacy. - Education and Training in Health Informatics:
Focus on the training and competencies required for healthcare professionals in the use of information technologies and informatics education.
Trending and Emerging
- Integration of Artificial Intelligence in Healthcare:
A significant increase in research focusing on AI applications in healthcare, particularly in predictive analytics, diagnostic support, and personalized medicine, indicating a trend toward harnessing AI for improved patient outcomes. - Digital Health and Mobile Health Applications:
Growing interest in the development and evaluation of mobile health applications and digital health platforms, emphasizing their role in chronic disease management and patient engagement. - Big Data and Health Analytics:
A rising focus on the use of big data analytics in healthcare settings, exploring how large datasets can inform clinical decisions and public health strategies. - Interoperability and Data Standards:
Emerging discussions on the importance of interoperability among health information systems and the adoption of standardized data models to facilitate seamless data exchange. - Ethics and Governance in Health Informatics:
Increasing emphasis on the ethical implications of AI and data use in healthcare, including concerns around privacy, consent, and equitable access to digital health technologies.
Declining or Waning
- Traditional Health Information Systems:
Research centered on older models of health information systems and their functionalities is declining as new, more integrated digital health solutions emerge. - Basic Telehealth Studies:
While telehealth remains important, the focus on basic descriptive studies of telehealth practices is decreasing, giving way to more advanced studies that evaluate the effectiveness and integration of telehealth with AI and data analytics. - General Patient Survey Studies:
There is a reduction in the publication of general survey studies that gather patient opinions without deeper analytical frameworks, as more complex methodologies gain preference.
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