Joon Hyun Song

Incremental Feature Extraction Based on Empirical Kernel Map

A new incremental kernel principal component analysis is proposed for the nonlinear feature extraction from the data. The problem of batch kernel principal component analysis is that the computation becomes prohibitive when the data set is large . Another problem is that, in order to update the eigenvectors with another data, the whole decomposition from scratch should be recomputed. The proposed method overcomes these problems by incrementally update eigenspace and using empirical kernel map as kernel function. The proposed method is more efficient in memory requirement than a batch kernel principal component and can be easily improved by re-learning the data. In our experiments we show that proposed method is comparable in performance to a batch kernel principal component for the classification problem on nonlinear data set.

SOA-based integrated pervasive personal health management system using PHDs

Nowadays, the need for effective integrated health information management is very high, with which each individual can monitor his/her health status and the ever increasing healthcare cost can be significantly reduced therefore. Moreover, advancements in information, communication and sensor technology have made readily available many types of highly accurate yet affordable PHDs (Personal Health Devices) including glucose meter and blood pressure monitor just to name a few. In this paper, we present our experience with the design and implementation of an integrated pervasive personal health management system with the following features: (a) PHDs with wireless communication capabilities so that various kinds of health data can be pervasively captured; (b) standard interfaces so that various components can interacts with each other in interoperable manners; and (c) a SOA (Service Oriented Architecture)-based service architecture so that customized services can be easily implemented using well-defined reusable components.

CDA Generation and Integration for Health Information Exchange Based on Cloud Computing System

Successful deployment of Electronic Health Record helps improve patient safety and quality of care, but it has the prerequisite of interoperability between Health Information Exchange at different hospitals. The Clinical Document Architecture (CDA) developed by HL7 is a core document standard to ensure such interoperability, and propagation of this document format is critical for interoperability. Unfortunately, hospitals are reluctant to adopt interoperable HIS due to its deployment cost except for in a handful countries. A problem arises even when more hospitals start using the CDA document format because the data scattered in different documents are hard to manage. In this paper, we describe our CDA document generation and integration Open API service based on cloud computing, through which hospitals are enabled to conveniently generate CDA documents without having to purchase proprietary software. Our CDA document integration system integrates multiple CDA documents per patient into a single CDA document and physicians and patients can browse the clinical data in chronological order. Our system of CDA document generation and integration is based on cloud computing and the service is offered in Open API. Developers using different platforms thus can use our system to enhance interoperability.

Clinical Document Architecture integration system to support patient referral and reply letters

Many Clinical Document Architecture (CDA) referrals and reply documents have been accumulated for patients since the deployment of the Health Information Exchange System (HIES) in Korea. Clinical data were scattered in many CDA documents and this took too much time for physicians to read. Physicians in Korea spend only limited time per patient as insurances in Korea follow a fee-for-service model. Therefore, physicians were not allowed sufficient time for making medical decisions, and follow-up care service was hindered. To address this, we developed CDA Integration Template (CIT) and CDA Integration System (CIS) for the HIES. The clinical items included in CIT were defined reflecting the Korean Standard for CDA Referral and Reply Letters and requests by physicians. CIS integrates CDA documents of a specified patient into a single CDA document following the format of CIT. Finally, physicians were surveyed after CIT/CIS adoption, and they indicated overall satisfaction.

Improving chronic disease management with mobile health platform

In modern society, aging and chronic disease is becoming common phenomenon due to the increasing numbers of elderly patients. To best treat this growing segment of the population, medical care should be based on constant vital sign monitoring. In this study, we propose a mobile vital sign measurement and data collection system for chronic disease management.. And we implemented a middle ware using Multi-Agent platform in SOS (Self-Organizing System) platform that transmits patient clinical data for services. We also implemented a HL7 messaging interface for interoperability of clinical data exchange. We propose health services on a self-organized software platform.

Care Record Summary Validation Tool with Social Network Service

Health Information Exchange (HIE) is regarded as an important requirement which can enhance the quality of healthcare services in many countries. In Korea, Care Record Summary (CRS) has been developed as a clinical document guideline for national HIE service since 2013, which includes medical information like laboratory, medication, diagnosis, and plan of care etc. And, in 2014, CRS almost reached the final standardized step of Korean Industrial Standard (KS) for exchanging health information among healthcare providers. Before CRS documents being widely populated, it has to be guaranteed that only validated CRS documents are exchanged. As a result, we develop CRS Validation Tool (VT) which can contribute to the improvement of the level of conformance to CRS KS. Furthermore, in order to help the healthcare professionals like physicians, nurses, and healthcare software developers to obtain knowledge about CRS KS as well as VT, we combine CRS VT with Social Network Service (SNS).

Embedding the shapes of regions of interest into a Clinical Document Architecture document

Sharing a medical image visually annotated by a region of interest with a remotely located specialist for consultation is a good practice. It may, however, require a special-purpose (and most likely expensive) system to send and view them, which is an unfeasible solution in developing countries such as Vietnam. In this study, we design and implement interoperable methods based on the HL7 Clinical Document Architecture and the eXtensible Markup Language Stylesheet Language for Transformation standards to seamlessly exchange and visually present the shapes of regions of interest using web browsers. We also propose a new integration architecture for a Clinical Document Architecture generator that enables embedding of regions of interest and simultaneous auto-generation of corresponding style sheets. Using the Clinical Document Architecture document and style sheet, a sender can transmit clinical documents and medical images together with coordinate values of regions of interest to recipients. Recipients can easily view the documents and display embedded regions of interest by rendering them in their web browser of choice.