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Modeling in biomedical informatics--an exploratory analysis (part 1).

A Hasman¹, R Haux

¹University of Amsterdam, Department of Medical Informatics, The Netherlands.

Methods of Information in Medicine

|December 7, 2006

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This study analyzed models in biomedical and health informatics research, finding a wide variety are used. Understanding diverse modeling types is crucial for informatics professionals and curriculum development.

Area of Science:

Biomedical and Health Informatics
Information Science
Medical Education

Background:

Modeling is fundamental to research, education, and practice in biomedical and health informatics.
Understanding the types of process models utilized in current research is essential for advancing the field.
Implications for medical informatics curricula require investigation based on current research trends.

Purpose of the Study:

To identify and categorize the types of process models employed in biomedical and health informatics research.
To analyze the trends in modeling approaches within leading journals of the field.
To assess the implications of these modeling trends for medical informatics education and curricula.

Main Methods:

A retrospective, prolective observational study design was employed.

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Analysis focused on recent publications from the International Journal of Medical Informatics (IJMI) and Methods of Information in Medicine (MIM).

A total of 384 publications were systematically reviewed.

Main Results:

All investigated model types were present in regular papers across both journals.
Many publications utilized a combination of models for core research questions and evaluation.
International Journal of Medical Informatics (IJMI) showed a focus on health information systems and electronic patient records with emphasis on evaluation, while Methods of Information in Medicine (MIM) covered broader approaches including statistical and computational modeling.

Conclusions:

Modeling remains a critical component of biomedical and health informatics research, education, and practice.
Proficiency in a diverse array of model types is necessary for professionals in the field.
The findings underscore the need for comprehensive modeling education within medical informatics curricula.