• Journal of Radiation Protection and Research
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• 제5권1호
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• pp.11-25
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• 1980

The increasing utilization of radioactive isotopes in industry, medicine and research has raised the question, 'How should hospitals deal with radiation injuries when they occur?' A system for initial management of radiation injuries has been developed by Radiation Management Corporation. Radiation injuries are classified and a treatment plan outlined for each at the emergency and short term medical care phase. This system includes clinical prognosis as well as a detailed plan for quick set up or a Radiation Emergency Area in any hospital. Procedures for patient admission, preparation of the facility, general decontamination, sample taking, and wound decontamination are included.

• Journal of Korean Neurosurgical Society
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• 제66권6호
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• pp.632-641
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• 2023

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.45-47
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• 1996

we developed an information management system that manages various types of medical information such as text, image, sound, and laboratory data. We also developed a multimedia description system, in which medical doctors can describe his findings and interpretations with text and speech. The descriptions include the references to the data items stored in the information management systems. The communication between the description system and the information management systems is carried out using OLE/COM mechanism. The information management system was implemented by using Microsoft Open Data Base Connectivity(ODBC).

• 디지털융복합연구
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• 제11권5호
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• pp.347-354
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• 2013

양질의 의료 서비스를 요구하는 환자들은 증가하는 반면 의사나 간호사와 같은 전문 의료 인력은 한정되어 있어 그들에게 가해지는 업무 부담이 과중하게 부여되고 있는 실정이다. 이러한 문제를 해결하기 위한 대안으로 USN(Ubiquitous Sensor Network)을 이용한 환자 모니터링 시스템이 대두되고 있다. 본 논문에서는 USN을 산부인과에 적용하여 간호사의 업무 부담을 줄이기 위해 산모 모니터링 시스템 모델을 설계하였다. 효율성 평가는 서울소재 대학병원(S, K 병원) 두 곳을 모델로 설정하여 의사의 처방에 따른 측정 주기를 산출하여 실시하였으며, 그 결과는 간호사 1인이 12명의 환자(자연분만 6명, 자연분만 외 출산 6명)를 케어하는 경우 입원기간(5일 기준) 동안에 1,260분이 경감되는 것으로 나타났다. 또한 간호사의 기존 업무량과 모니터링 시스템 적용 후 업무량을 비교해 보았을 때 자연분만 산모의 경우 산모 수가 1명씩 증가함에 따라 하루에 50분씩, 자연분만 외 수술 산모의 경우 산모 수가 1명씩 증가함에 따라 하루에 130분씩 업무량 감소 효과가 있는 것으로 나타났다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2002년도 추계정기학술대회
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• pp.203-212
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• 2002

This study examined the predictive power of data mining algorithms by comparing the performance of logistic regression and decision tree algorithm, called CHAID (Chi-squared Automatic Interaction Detection), On the contrary to the previous studies, decision tree performed better than logistic regression. We have also developed a CDSS (Clinical Decision Support System) with three modules (doctor, nurse, and patient) based on data warehouse architecture. Data warehouse collects and integrates relevant information from various databases from hospital information system (HIS ). This system can help improve decision making capability of doctors and improve accessibility of educational material for patients.

• 한국병원경영학회지
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• 제spc호
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• pp.51-60
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• 2016

The forms of healthcare service delivery emerges from the interaction between technological progress and institutional changes. Building a healthcare system which enables effective and efficient patient care is a imperative to a sustainable operation of a society. Identifying of a promising medical technologies and diffusing them consists of the basic tasks of a good healthcare system. Inducing of a promising innovation in healthcare and utilization of the innovation requires a deep understanding of healthcare innovation system and delicate governmental intervention to the effective functioning of the system. Therefore, the support for R&D in healthcare field should be given to social and institutional technologies for the better organization of healthcare delivery and consumption system as well as basic and applied medical sciences.

• 한국병원경영학회지
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• 제18권3호
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• pp.27-42
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• 2013

Purpose: This study is aimed to provide the fundamental data for building the patient safety culture by identifying the perceptions of patient safety culture of hospital nurses. Methods: this study was a cross-sectional survey. For this study, 816 nurses participated from three general hospital and one university hospital located in Gwangju and Chonnam. The data were collected from April to June, 2012 by self-administrated questionnaires. The 'Hospital Survey on Patient Safety Culture'developed AHRQ(2004) and translated in Korean and edited by Je(2006), was used to measure the patient safety culture which the nurses were perceived. The collected data were analyzed with descriptive statistics, t-test, ANOVA, Scheffe test using SPSS window 18.0. Results: With a possible score of 5 points, the average score for nurses'perceived patient safety culture 3.32. In the sub dimension of patient safety culture, the score hospital-level aspects was the highest level of 3.27(0.50) and reporting system medical errors was the lowest of 3.08(0.40). The difference of perception level on patient safety culture were statistically significant depending on demographic and job-related characteristics such as age, hospital level, work experience in present hospital, work experience in present unit, work experience in present area, positions, work hours of week. Conclusion: The scores of perception of which were shown to be relatively low in this study, needed to be improved through continuous education, evaluation and researches. We suggest developing a new tool on patient safety culture fit our country which will help to manage ongoing patient safety culture.

• Industrial Engineering and Management Systems
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• 제16권1호
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• pp.92-102
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• 2017

In this paper, we consider a typical health care system via the help of Wireless Sensor Network (WSN) for wireless patient tracking. The wireless patient tracking module of this system performs localization out of samples of Received Signal Strength (RSS) variations and tracking through a Particle Filter (PF) for WSN assisted by multiple transmit-power information. We propose a modified PF, Kullback-Leibler Distance (KLD)-resampling PF, to ameliorate the effect of RSS variations by generating a sample set near the high-likelihood region for improving the wireless patient tracking. The key idea of this method is to approximate a discrete distribution with an upper bound error on the KLD for reducing both location error and the number of particles used. To determine this bound error, an optimal algorithm is proposed based on the maximum gap error between the proposal and Sampling Important Resampling (SIR) algorithms. By setting up these values, a number of simulations using the health care system's data sets which contains the real RSSI measurements to evaluate the location error in term of various power levels and density nodes for all methods. Finally, we point out the effect of different power levels vs. different density nodes for the wireless patient tracking.

• Journal of Yeungnam Medical Science
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• 제39권4호
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• pp.332-335
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• 2022

We report on changes in the ascending reticular activating system (ARAS) concurrent with the recovery of impaired consciousness following rehabilitation and cranioplasty in a patient with traumatic brain injury (TBI), which were demonstrated on diffusion tensor tractography (DTT). A 34-year-old male patient was diagnosed with a traumatic intracerebral hemorrhage after falling from a height of approximately 7 m and underwent a right frontoparietotemporal decompressive craniectomy and hematoma removal. At 5 months after onset, when starting rehabilitation, the patient showed impaired consciousness, with a Glasgow Coma Scale (GCS) score of 4. Comprehensive rehabilitative therapy was provided until 14 months after onset, and his GCS score improved to 8. Cranioplasty was performed using auto-bone at 14 months after onset. One month after cranioplasty, his GCS score improved to 12. On the 15-month DTT, the deviated lower dorsal ARAS was restored on both sides, and the right side had become thicker. The right lower ventral ARAS was reconstructed, and increased neural connectivity of the upper ARAS was detected in both the prefrontal cortices. Thus, changes in the ARAS were demonstrated in a patient with TBI during recovery of consciousness following rehabilitation and cranioplasty.

• 보건행정학회지
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• 제24권4호
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• pp.304-311
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• 2014

This manuscript treats a new paradigm for the Korean health care system. We give an account of innovative health care delivery and payment models widely discussed in the contemporary US accountable care organization and coordinated care organization. In doing so, we explore a new health care model amenable to foreseeable changes to the health care system. We propose creating an integrated health care system in which the network of health care providers delivers coordinated and comprehensive care for enrolled patients residing within the geographic boundaries served by the provider network; providers may participate voluntarily in one or more networks and assume shared responsibility for patient care and cost; provider networks compete with each other based on cost and quality; and consumers are allowed to choose a network. We expect that the new paradigm will create a financially-sustainable system that assures quality of care and improves patient experience, minimizing the existing system-wide inefficiency through cross-network competition and within-network care coordination.