Imaging informatics
Imaging informatics (also known as radiology informatics or medical imaging informatics) involves the intersection between health informatics and bioinformatics that aims to improve the efficiency, accuracy, usability, and reliability of medical imaging services within the context of the healthcare environment.[1] "Notably, medical imaging informatics addresses not only the images themselves, but encompasses the associated date to understand the context of the imaging study; to document observations; and to correlate and reach new conclusions about a disease and the course of a medical problem."[2]
More specifically it is devoted to the study of how information about and contained within medical images is acquired, stored, exchanged, analyzed, and enhanced throughout the medical enterprise. Medical images must be in a standard, symbolic, and reproducible format for proper acquisition and storage. Computer-related transmission protocols like TCP/IP, HTTP, and DICOM as well as organized, sensical transaction diagrams are required for proper data exchange. And because of all those protocols and standards, software can be created and utilized to analyze, enhance, and even mine medical images for useful real-world healthcare data.[3]
As radiology is an inherently data-intensive and technology-driven specialty of medicine, radiologists have become leaders in imaging informatics. However, with the proliferation of digitized images to other fields such as cardiology, dermatology, surgery, gastroenterology, obstetrics, gynecology, and pathology, advances in imaging informatics are also being tested and applied in other areas of medicine.[4]
Application
Key areas relevant to Imaging informatics include:
- Picture Archiving and Communication System (PACS) and Component Systems
- Imaging Informatics for the Enterprise
- Image-Enabled Electronic Medical Records
- Radiology Information Systems (RIS) and Hospital Information Systems (HIS)
- Digital image acquisition
- Image processing and enhancement
- Image data compression
- 3D visualization and multimedia
- Speech recognition
- Computer-aided diagnosis (CAD).
- Imaging facilities design
- Imaging vocabularies and ontologies
- Data mining from medical images databases
- Transforming the Radiological Interpretation Process (TRIP)[5]
- DICOM, HL7 and other standards
- Workflow and process modeling and process simulation
- Quality assurance
- Archive integrity and security
- Teleradiology
- Radiology informatics education
- Digital imaging
Informatics
External links
Notes
This article reuses a few elements from the Wikipedia article.
References
- ↑ Branstetter, B. (2007). "Basics of Imaging Informatics". Radiology 243 (3): 656–67. doi:10.1148/radiol.2433060243. PMID 17431128. http://pubs.rsna.org/doi/full/10.1148/radiol.2433060243. Retrieved 09 June 2014.
- ↑ Bui, Alex A. T.; Taira, Ricky K.; Kangerloo, Hooshang (2009). "Chapter 1: Introduction". Medical Imaging Informatics. Springer. ISBN 9781441903853. http://books.google.com/books?id=3JClHj3SXjwC&pg=PA3. Retrieved 09 June 2014.
- ↑ Langer, Steve G. (2011). "Chapter 2: Informatics Constructs". Informatics in Medical Imaging. CRC Press. pp. 15–23. ISBN 9781439831243. http://books.google.com/books?id=JTYb3SZZraYC&pg=PA15. Retrieved 09 June 2014.
- ↑ Horii, Steven C. (2011). "Chapter 4: DICOM". Informatics in Medical Imaging. CRC Press. pp. 41–68. ISBN 9781439831243. http://books.google.com/books?id=JTYb3SZZraYC&pg=PA41. Retrieved 09 June 2014.
- ↑ TRIP - an initiative between the then Society of Computer Applications in Radiology (SCAR), now known as the Society of Imaging Informatics in Medicine (SIIM) [1]
