Service-Oriented Security Framework for Remote Medical Services in the Internet of Things Environment / 대한의료정보학회지

OBJECTIVES: Remote medical services have been expanding globally, and this is expansion is steadily increasing. It has had many positive effects, including medical access convenience, timeliness of service, and cost reduction. The speed of research and development in remote medical technology has been gradually accelerating. Therefore, it is expected to expand to enable various high-tech information and communications technology (ICT)-based remote medical services. However, the current state lacks an appropriate security framework that can resolve security issues centered on the Internet of things (IoT) environment that will be utilized significantly in telemedicine. METHODS: This study developed a medical service-oriented frame work for secure remote medical services, possessing flexibility regarding new service and security elements through its service-oriented structure. First, the common architecture of remote medical services is defined. Next medical-oriented secu rity threats and requirements within the IoT environment are identified. Finally, we propose a "service-oriented security frame work for remote medical services" based on previous work and requirements for secure remote medical services in the IoT. RESULTS: The proposed framework is a secure framework based on service-oriented cases in the medical environment. A com parative analysis focusing on the security elements (confidentiality, integrity, availability, privacy) was conducted, and the analysis results demonstrate the security of the proposed framework for remote medical services with IoT. CONCLUSIONS: The proposed framework is service-oriented structure. It can support dynamic security elements in accordance with demands related to new remote medical services which will be diversely generated in the IoT environment. We anticipate that it will enable secure services to be provided that can guarantee confidentiality, integrity, and availability for all, including patients, non-patients, and medical staff.

Implementation of Hospital Examination Reservation System Using Data Mining Technique / 대한의료정보학회지

OBJECTIVES: New methods for obtaining appropriate information for users have been attempted with the development of information technology and the Internet. Among such methods, the demand for systems and services that can improve patient satisfaction has increased in hospital care environments. METHODS: In this paper, we proposed the Hospital Exam Reservation System (HERS), which uses the data mining method. First, we focused on carrying clinical exam data and finding the optimal schedule for generating rules using the multi-examination pattern-mining algorithm. Then, HERS was applied by a rule master and recommending system with an exam log. Finally, HERS was designed as a user-friendly interface. RESULTS: HERS has been applied at the National Cancer Center in Korea since June 2014. As the number of scheduled exams increased, the time required to schedule more than a single condition decreased (from 398.67% to 168.67% and from 448.49% to 188.49%; p < 0.0001). As the number of tests increased, the difference between HERS and non-HERS increased (from 0.18 days to 0.81 days). CONCLUSIONS: It was possible to expand the efficiency of HERS studies using mining technology in not only exam reservations, but also the medical environment. The proposed system based on doctor prescription removes exams that were not executed in order to improve recommendation accuracy. In addition, we expect HERS to become an effective system in various medical environments.

Development of a Document Management System for the Standardization of Clinical Laboratory Documents

BACKGROUND: Documentation is very important; a considerable number of documents exist for use in accreditation inspection. However, most laboratories do not effectively manage the processes of documentation, organization, and storage. The purpose of this study was to facilitate the establishment of a strategically effective and sustainably standardized document management system. METHODS: A document code formatting system was modified by comparing the document list data received from 3 major university hospitals. In addition, a questionnaire regarding document code standardization was created and sent to 268 institutes to establish document classifications and generate a standard coding scheme. A computerized document management system was developed. RESULTS: Only 32% (8 out of 25 institutes) answered that they were able to identify all of the document types and their numbers. In total, 76% of institutes (19 out of 25) answered that a systematic document management system was necessary. Disorganized document files were systemized by classifying them into 8 major groups according to their characteristics: patient test records (T), test quality control (Q), manuals (M), equipment and environment management (E), statistics (S), division administration (A), department administration (R), and others (X). CONCLUSIONS: Our documentation system may serve as a basis for the standardization of documents and the creation of a document management system for all hospital laboratories.

Chromosomal Information of 1,144 Korean BAC Clones

We sequenced 1,841 BAC clones by terminal sequencing, and 1,830 of these clones were characterized with regard to their human chromosomal location and gene content using Korean BAC library constructed at the Korean Science (KCGS). Sequence analyses of the 1,830 BAC clones was performed for chromosomal assignment: 1,144 clones were assigned to a single chromosome, 190 clones apparently assigned to more than one chromosome, and 496 clones to no chromosome. Evaluating gene content of the 1,144 BAC clones, we found that 706 clones represented 1,069 genes of which 415 genes existed in the BAC clones covering the full sequence of the gene, 180 genes covering a 50%~99%, and 474 genes covering less than 50% of the gene coverage. The estimated covering size of the KBAC clones was 73,379 kilobases (kb), in total corresponding to 2.3% of haploid human genome sequence. The identified BAC clones will be a public genomic resource for mapped clones for diagnostic and functional studies by Korean scientists and investigators worldwide.