SeeMIK is the software solution developed in CARDS project funded by University of Oulu and TEKES. Main purpose of SeeMIK is to help and assist radiologist in the interpretation of medical images by providing tools for image and/or text search in hospital’s PACS and RIS databases.
Using accumulated data in hospital's IT systems enables radiologist learning also from other radiologist’s experience at the moment of need.
SeeMIK doesn't make detection or diagnosis by itself but provides tools for searching for previous cases with similar findings.
If radiologist is not sure which diagnosis better relates to existing findings, then he/she points out the feature of interest in the medical image and defines keywords.
SeeMIK finds keys for images with similar-appearing features and study reports related to keywords in index. It obtains by found keys real data from PACS and RIS and then shows it to radiologist.
With list of results radiologist can compare images, read anonymized reports and/or view whole studies. After that radiologist makes a report or performs another search.
The few but time-consuming difficult cases require significantly less work time.
The availability of reference cases helps the specializing radiologists to learn more quickly.
Massive amount of medical images and related data will be in productive use.
SeeMIK was made with DICOM and HL7 standards in mind, so integration with hospital's IT infrastructure is painless and predictable.
SeeMIK designed with radiologists and under control of radiologists, so it perfectly fits into typical processes of radiology department.
We care a lot about patients, physicians and organizations related data, so SeeMIK shows to user only necessary data for making a decision.
M.Sc. (Tech.), M.Sc. (Econ.)
Professor, Ph.D. (Tech.)
Project responsible head
+358 40 737 4692
Optoelectronics and Measurement Techniques Unit, Department of Electrical Engineering, University of Oulu
Erkki Koiso-Kanttilankatu 3,
90570 Oulu, Finland