Abstract:
Electronic Medical Record (EMR) and Medical Standard plans are used to save patient’s information and medical records i.e. test report, radiology tests etc. This information can be useful to check patient history and also to predict disease trends in a specific region or age group. This data sometimes also needs to be shared between different hospitals and specialists which requires data compatibility. Medical standards like HL-7, DICOM and IHE etc are designed and developed to solve the issue of data compatibility while sharing the data between different nodes. DICOM is developed to have proper sharing of data which contains images. It is being used for proper saving of data containing MRIs, CT scans etc in different medical department but its use in ophthalmology is rare. Most of tests and treatment in ophthalmology consist of data in form of digital images and use of medical standard being capable of storing patient data along with images is required. In this research, we proposed a DICOM framework for identification of suitable tags which can be used in ophthalmology to facilitate doctors to save patient ophthalmic data along with digital images. For this reason, we conducted a workshop and survey in which ophthalmologists are invited to collect precise and ophthalmic related tags for OCT, Fundus and Slit lamp images. We support our framework with automated detection of laser marks from fundus images and the framework saves the diagnosis results along with the image in a DICOM format. Proposed framework proves that doctors can work, tag and view DICOM ophthalmic images easily.
