• Journal of Information Processing Systems
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• v.12 no.4
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• pp.711-723
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• 2016

With the rapid development of both ubiquitous computing and the mobile internet, big data technology is gradually penetrating into various applications, such as smart traffic, smart city, and smart medical. In particular, smart medical, which is one core part of a smart city, is changing the medical structure. Specifically, it is improving treatment planning for various diseases. Since multiple treatment plans generated from smart medical have their own unique treatment costs, pollution effects, side-effects for patients, and so on, determining a sustainable strategy for treatment planning is becoming very critical in smart medical. From the sustainable point of view, this paper first presents a three-dimensional evaluation model for representing the raw medical data and then proposes a sustainable strategy for treatment planning based on the representation model. Finally, a case study on treatment planning for the group of "computer autism" patients is then presented for demonstrating the feasibility and usability of the proposed strategy.

• Journal of Information Technology Applications and Management
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• v.9 no.4
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• pp.165-177
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• 2002

For measuring EEG with the international 10-20 electrode system on 16 channels, and to analyze the interrelationship between the original signals and the changed signals after the stimulation, we use the scent of lavender which stimulates the olfactory sense. Moreover, the effect of the scent stimulation to the brain is analyzed. The purpose of this analysis is to apply these results to the computerized mapping of the brain signals and to find possible ways of specifying the source of the brain signals through various medical applications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.988-991
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• 2015

3D printing technology is instrument that can create real objects in three-dimensional space, as printed on paper, if the three-dimensional designs are made. 3D printing technology has been recently used in various field of medicine, and also biomedical application of three dimensional printing technology remains one of the most important research topics until now. 3D printing technology is causing a revolutionary change in the overall automotive manufacturing, aerospace, marine, medical and so on. The medical industry applications of current 3D printer are a virtual simulation, custom medical implants manufactured, practice of medical personnel. In this study, we analyzed 3D printing technology and application cases for medical services.

• Journal of Service Research and Studies
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• v.4 no.1
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• pp.83-93
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• 2014

Telemedicine is performed at a place far away from medical practice with physicians and patients by the means of communication appropriately. It will be identified in general the remote medical service to deliver the medical information and also defined as any action by interactive information communication technology. Medical services can be said to be fused as television, communication, computer, engineering of various technologies of information and communication applications. If doctors can not be reached due to distances away from the patient, Information technologies could be used to get medical information and to give expert advice provided by the system remotely. And it could be used patient care as well as medical administration, medical education, professional advice and consulting. In this paper, we take a look at the legal requirements of telemedicine for improving regulatory in the current law to investigate the matter.

• Management & Information Systems Review
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• v.32 no.5
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• pp.19-43
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• 2013

The diffusion of new technology has traditionally focused on the adoption perspective. Researchers refer this use-diffusion paradigm to behaviors of use after adoption. This study intends to analyse the influential factors of use-diffusion and continual use of website and applications in medical service. To achieve this a use-diffusion model as a conceptual frame work is suggested. Medical information quality, personal innovativeness and subjective norm are assumed as antecedent variables medical website and application's rate of use, variety of use, and continued use intention as result variables. According to the empirical study results medical information quality, web based application usability, personal innovativeness, and subjective norm have a meaningful influence on medical service consumer's use-diffusion patterns. Also pattern of use influences the continued use intention. This study provides an opportunity to understand medical service consumer's behavior after website and application use adoption and suggests further directions for establishing medical service online marketing strategy by determining influential factors of use-diffusion and continued use of medical online marketing tools.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.8C
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• pp.680-689
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• 2012

U-healthcare is maintaining of users' health without limitations from where and when they are. As it is important to guarantee compatibility between heterogeneous systems in U-healthcare, a medical information standard is compulsory. An adequate standard means that it is easy to understand and it can cover wide range of information types and various medical devices. Among them, HL7(Helath Level 7) has those traits, but HL7 is not adequate for non-text message, especially for medical waveform. JAHIS suggested an appropriate standard, that is MFER. MFER has many advantages for representation of medical waveform, but it is still not good for real-time applications. In U-healthcare, there are lots of needs for real-time application, so we need a standard that can have useful properties of MFER and HL7, and support real-time. In this article, there are two main topics. The first one is introducing MFER and HL7. Second, the new scheme(TS-MFER with HL7) is developed by modifying MFER and HL7 for real-time applications.

• Journal of Information Processing Systems
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• v.8 no.1
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• pp.67-84
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• 2012

An important amount of clinical data concerning the medical history of a patient is in the form of clinical reports that are written by doctors. They describe patients, their pathologies, their personal and medical histories, findings made during interviews or during procedures, and so forth. They represent a source of precious information that can be used in several applications such as research information to diagnose new patients, epidemiological studies, decision support, statistical analysis, and data mining. But this information is difficult to access, as it is often in unstructured text form. To make access to patient data easy, our research aims to develop a system for extracting information from unstructured text. In a previous work, a rule-based approach is applied to a clinical reports corpus of infectious diseases to extract structured data in the form of named entities and properties. In this paper, we propose the use of a Boolean inference engine, which is based on a cellular automaton, to do extraction. Our motivation to adopt this Boolean modeling approach is twofold: first optimize storage, and second reduce the response time of the entities extraction.

• Journal of The Korean Society of Integrative Medicine
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• v.2 no.3
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• pp.15-22
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• 2014

Backround : The paradigm of recent education has been shifting from existing style of professor-oriented, passive and rote teaching to learner-centered education. Rather than mere delivery of knowledge, today's idea of education uses various audiovisual media to let learners gain more problem-solving skills, judgment, cognitive thinking ability, and creativity to apply to real practice. Also, while current trends and change in policy ask for related industry to require practice-centered teaching learning model, Problem-Based Learning (PBL) is quite effective that it activates problem-solving skills as well as application of National Competency Standards (NCS). Purpose : The purpose of this study was to suggest a teaching learning model article as an approach to apply web-based PBL for patient & medical charge management practices. Discussion & Conclusion : This paper the cases on PBL and presents the teaching learning model on web-based PBL as an approach to applying web-based PBL, which fits Medical Information System Department that combines health-medical treatment and computer applications, to practical health administrative affairs.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.16 no.3
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• pp.23-32
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• 2012

Objectives: The objective of this study is to investigate and valuate currently provided database management systems (DBMS) of traditional Korean medical knowledge. Methods: We searched DBMS on the web and smart device application markets (Apple App Store and Google Play Store). Key words for searching were 'traditional medicine', 'acupuncture', 'moxibustion', 'herbal medicine', and '한의학'. We looked into each DBMS to find out its scopes and limits, and each was valuated according to its functionality, accessibility, and utility. Results: 186 DBMS of traditional Korean medical knowledge were investigated and 91% of them were applications for smart devices. Almost all DBMS provided acupuncture and herb information, and a small amount of DMBS provided prescription and research paper information. Functionality, accessibility, and utility valuation were performed by using scoring system from 0 to 2. Mean values of functionality, accessibility, and utility were 0.86, 1.29, and 1.09. Conclusions: On the whole, high accessibility and low functionality were found, and various data-calculating functions were not implemented. Further researches and developments about traditional Korean medical knowledge DBMS are necessary to provide correct traditional Korean medical information and to support the studies about Korean medicine.

• Communications for Statistical Applications and Methods
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• v.24 no.6
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• pp.561-581
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• 2017

Bayesian statistics can play a key role in the design and analysis of clinical trials and this has been demonstrated for medical device trials. By 1995 Bayesian statistics had been well developed and the revolution in computing powers and Markov chain Monte Carlo development made calculation of posterior distributions within computational reach. The Food and Drug Administration (FDA) initiative of Bayesian statistics in medical device clinical trials, which began almost 20 years ago, is reviewed in detail along with some of the key decisions that were made along the way. Both Bayesian hierarchical modeling using data from previous studies and Bayesian adaptive designs, usually with a non-informative prior, are discussed. The leveraging of prior study data has been accomplished through Bayesian hierarchical modeling. An enormous advantage of Bayesian adaptive designs is achieved when it is accompanied by modeling of the primary endpoint to produce the predictive posterior distribution. Simulations are crucial to providing the operating characteristics of the Bayesian design, especially for a complex adaptive design. The 2010 FDA Bayesian guidance for medical device trials addressed both approaches as well as exchangeability, Type I error, and sample size. Treatment response adaptive randomization using the famous extracorporeal membrane oxygenation example is discussed. An interesting real example of a Bayesian analysis using a failed trial with an interesting subgroup as prior information is presented. The implications of the likelihood principle are considered. A recent exciting area using Bayesian hierarchical modeling has been the pediatric extrapolation using adult data in clinical trials. Historical control information from previous trials is an underused area that lends itself easily to Bayesian methods. The future including recent trends, decision theoretic trials, Bayesian benefit-risk, virtual patients, and the appalling lack of penetration of Bayesian clinical trials in the medical literature are discussed.