Perspectives on Clinical Informatics: Integrating Large-Scale Clinical, Genomic, and Health Information for Clinical Care

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

An Intelligent and Distributed Telemedicine Server for a Continuum of Telemedicine Care / 대한의료정보학회지

Internet application server technologies and browsers make it possible to design and develop a telemedicine application server structure providing a continuum of telemedicine care while reducing the complexity for the end user. Th build many types of "write-once-run-anywhere" telemedicine applications and allow them to dynamically adapt to a variety of platform restrictions, we need a framework to support system services for telemedicine applications. In aims to increase the efficiency of distributed multimedia medical databases in terms of clinical consulting process, we propose to mange external data access using distributed middleware standardizations. In order for our framework to be clinically relevant, we draw on experience and knowledge acquired in the field of urology, dialysis, emergency, and hospice telemedicine in which the Imaging Science and Information Systems Center at Georgetown University Medical Center has undertaken or is undertaking clinical trials. Development of a telemedicine application server for a true continuum of telemedicine care will increase user operability while decreasing the integration complexity.