Ege Eylül University Hospital has started to use SECTRA PACS solution throughout the hospital. The integration of the other information systems in the organization with seamless integration has been achieved and the solutions for the solutions that will respond to different workflows are continuing.
İzmir Dokuz Eylül University Hospital started to use SECTRA PACS solution throughout the hospital. With this solution, existing systems were seamlessly integrated and the data, radiology images and reports for the old 15-year-old 70 TB were uploaded to the system in as little as 6 months.
Ibn Al Haytham Hospital in Jordan has begun using the SECTRA PACS solution.
Our company has supported project management, installation, integration with existing information systems such as HBYS / RBS and end user training.
De Beer De Jager Radiologists, which consists of three centers in the Republic of South Africa, has begun using the SECTRA PACS solution. Our company has supported project management, installation, integration with existing systems and end user training.
The establishment of the Tele-Radiology PACS Project covering 19 hospitals (Training and Research Hospital, Tuberculosis Dispensary, Oral and Dental Health Center and Public Hospital ) in Antalya.
Within the scope of telemedicine PACS project, integration between 3 hospitals was provided. Thus, images and reports in these 3 health facilities were quickly accessible without wasting time in other health facilities.
Our project titled “Computerized Visual Gesture Detection System” supported by TÜBİTAK (ing. The Scientific and Technological Research Council of Turkey) has been successful.
In parallel with the increase in the need of medical images in medical images, the use of computers in operating rooms has increased. Keyboard, mouse or touch screens are used to access the recordings. Computer use causes the surgeon to lose time and also pose a risk for sterilization.
With this project, It is aimed to develop a unique system in which the surgeons can access the medical records quickly and sterile with the help of the connected depth camera on the medical monitor. This system will process the data received from the camera and recognize the gestures of the surgeon and transfer it to the PACS application to provide access and navigation. Computerized vision and machine learning methods were used in the development of this system.