HRI -- GPM2
Internal proposal to establish a Graduate Program in Medical Imaging Informatics (GPM2)
Program Initiative
Medical Imaging Informatics (MII) or Radiology Informatics (RI) is one of major medical informatics domains being neutralized by today’s diagnostic research and clinical practice. As a new sub-specialty in radiological sciences, it is aimed at improving the efficiency, accuracy, sustainability, usability and reliability of the medical services in enterprise healthcare systems. It is devoted to the study of how medical images are efficiently used and processed while touching every aspect of the imaging chain that includes image acquisition from modalities, distribution and management, archiving and retrieval, processing and analysis, data mining, navigation and visualization, interpretation, reporting, and data communication in today’s health care systems. Based on the rapid developments of digital and telemedicine and information technology, the MII domain has been extended due to the desire for scientific discovery in medical research and daily practices in clinics. It bridges the medical and information technologies to enhance future health care services.
The distinct between various medical informatics can be lied in their application scenarios and features. For example, bioinformatics programs stress biological or genetic data for scientific and medicine discovery, and/or drag delivery. Medical or biomedical informatics programs focus on data that biomedical scientists need develop innovative methodologies and that clinical doctors need for treating patients. Health informatics programs often emphasized clinical data and health records. Medical Imaging informatics concentrates on the acquisition, processing, analysis, mining, storage and management of medical image related health care data. It is the one of major integrals in health care informatics. The variations among these programs determine the concrete curriculums being developed.
The medical imaging education is in high demand. However, one of challenges that remain in ongoing projects or existing MII systems is the shortage or lack of such education programs that foster the next generation of medical professionals working with digitalized health care systems at national level. It is urgent to develop a unique MII education program to enhance the capacity of health care services, research, and education.
This program will provide a unique opportunity for students at global scale to sharp their knowledge in medical imaging informatics and IT-based health care systems. It has a great potential to persuade future funding with the accelerated the movement of patient health records.
Degree Pre-requisition:
Bachelor of Science, Bachelor of Engineering
Degree Awards:
Master of Science (without thesis) or Ph.D. (Thesis)
Curriculum DEvelopment (Goal and Task Actions):
I. Develop a course curriculum for master degree program through CCOM.
It requires 36 credits and minimum 3.0 GPAs. The curriculum composed of five subjects (informatics, computer science, medical imaging processing, biomedical science and engineering, and advanced topics). Each theme has core (c) and elective (e) courses. There are total 12 core courses and imaging, and 12 core courses, 14 elective courses. The course curriculum can be found in the following:
Informatics
Principles of Informatics (Theory, Algorithms, Methodology) (3 credit, intermediate, required)
Medical Imaging Informatics (3 credit, intermediate, required)
Ontology of medical imaging informatics (3 credits, basic, elective)
Medical and Health Informatics (3 credits, basic, elective)Computer and Information Sciences
Computer science for medicine and health care (3 credit, basic, required)
Database management system for health care systems (3 credit, basic, required)
Programming and algorithms in medical and health sciences (3 credit course, basic, elective)
Networks and communications in health systems (3 credit course, intermediate, elective)
Graphical objects in medical science (3 credit course, intermediate, elective)
Software design for health care (3 credit course, intermediate, elective)
System and data security (3 credit course, intermediate, elective)Medical Image and Data Processing
Data acquisition, processing, and storage (3 credits, basic required)
Medical imaging modalities (3 credits, basic required)
Image data visualization and display (3 credits, basic, required)
Statistics in medical imaging (3 credits, intermediate, elective)
Medical image and data mining (3 credits, advanced, elective)Biomedical Science and Engineering
Basics of biomedical imaging (3 credits, intermediate, required)
Radiological science and technology (3 credits, intermediate, required)
Introduction to biomedical science and engineering (3 credits, intermediate, elective)
Fundamental physics in medical imaging (3 credits, advanced, elective)Advanced Topics
Enterprise PACS and industrial standards (3 credits, advanced, required)
Distributed computing in health information system (3 credits, advanced, required)
Enterprise patient record systems (3 credits, advanced, elective)
Computational radiology (3 credits, advanced, elective)
Teleradiology system (3 credits, advanced, elective)
Health care information management system (3 credits, advanced, elective)
Intermediate digital radiology (3 credits, advanced, elective)References:
Hawkeye Radiology Informatics (HawkRI)
Department of Radiology || Carver College of Medicine || The University of Iowa
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