• 제목/요약/키워드: medical errors

검색결과 572건 처리시간 0.026초

Animal Experiments Using Rotator Cuff

  • Chung, Seok Won;Kim, Sae Hoon;Oh, Joo Han
    • Clinics in Shoulder and Elbow
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    • 제17권2호
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    • pp.84-90
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    • 2014
  • In conducting animal studies using rotator cuff, researchers should select the appropriate types of animals and experimental models. This should also be followed by complete understanding of the selected experimental animals as well as the methods for evaluating the results. Thus, researchers could minimize errors and failure in conducting animal experimental studies. Further, this will provide a basis of establishing new idea and theory about rotator cuff diseases.

보건의료 조직의 협업적 의료 커뮤니케이션 시스템에 대한 연구 - 환자교육을 중심으로 (Study on a Clinical Collaborative Communication System in Healthcare Organizations -Focused on Patient Education)

  • 박화규
    • 컴퓨터교육학회논문지
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    • 제16권2호
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    • pp.79-90
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    • 2013
  • 의료조직 내에서의 커뮤니케이션 오류와 지연은 의료고객의 서비스 질 하락과 의료분쟁 등 심각한 문제를 야기 시키고 있다. 따라서, 최근 협업적 의료 커뮤니케이션 체계의 중요성이 크게 부각되고 있다. 의사, 환자/보호자, 간호사, 실험실들 간의 커뮤니케이션이 원활하게 이뤄질 때 고효율 저비용 서비스는 물론 궁극적으로 병원의 경영성과에도 도움이 된다. 이러한 동기에서 중소 및 대형병원에서 이 시스템 도입이 급증하는 추세이다. 본 논문에서는 유무선 기반의 협업적 의료커뮤니케이션(Clinical Collaborative Communication)시스템의 구현방법과 모델링을 통한 구현 연구 및 시스템 평가를 위해 S병원을 대상으로 계량적 평가를 수행하였다.

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Dropout Genetic Algorithm Analysis for Deep Learning Generalization Error Minimization

  • Park, Jae-Gyun;Choi, Eun-Soo;Kang, Min-Soo;Jung, Yong-Gyu
    • International Journal of Advanced Culture Technology
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    • 제5권2호
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    • pp.74-81
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    • 2017
  • Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA(Dropout Genetic Algorithm) which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

전산간호기록과 서면간호기록의 효율성에 관한 비교연구 - 급성 뇌졸중 환자의 간호기록 중심으로 - (A Comparison of Efficiency between Computerized Nursing Records and the Paper-based Nursing Records - focus on patients with a stroke -)

  • 성영희;조명숙;최복연;장미라
    • 기본간호학회지
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    • 제13권1호
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    • pp.24-32
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    • 2006
  • Purpose: This study was a comparative review of the computerized nursing records and paper-based nursing records to examine effects of a nursing process documentation system focusing on patients who have had stroke. Method: First, the researchers collected all the foci from the computerized records and the paper-based records. They selected ten nursing foci, used frequently in both groups and analyzed the number of foci per patient, appropriateness of foci, the number of nursing activities per nursing focus and whether outcomes were described or not in the nursing record. Results: There was fewer errors in nursing diagnosis selection, and a larger number of activities in the records than trle paper based ones. Also, there was a better description of the nursing outcomes in the computerized records. Conclusion: This study suggests that the computerized nursing records is significantly effective in increasing accuracy of the nursing care plan and quality of the nursing record.

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Method of Identifying Dynamic Multileaf Collimator Irradiation that is Highly Sensitive to a Systematic MLC Calibration Error

  • Zygmanski, P.;Kung, J.H.
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2002년도 Proceedings
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    • pp.74-82
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    • 2002
  • In Intensity Modulated Radiotherapy (IMRT), radiation is delivered in a multiple of Multileaf Collimator (MLC) subfields. A subfield with a small leaf-to-leaf opening is highly sensitive to a leaf-positional error. We introduce a method of identifying and rejecting IMRT plans that are highly sensitive to a systematic MLC gap error (sensitivity to possible random leaf-positional errors is not addressed here). There are two sources of a systematic MLC gap error: Centerline Mechanical Offset (CMO) and, in the case of a rounded end MLC, Radiation Field Offset (RFO). In IMRT planning system, using an incorrect value of RFO introduces a systematic error ΔRFO that results in all leaf-to-leaf gaps that are either too large or too small by (2ㆍΔRFO), whereas assuming that CMO is zero introduces systematic error ΔCMO that results in all gaps that are too large by ΔCMO = CMO. We introduce a concept of the Average Leaf Pair Opening (ALPO) that can be calculated from a dynamic MLC delivery file. We derive an analytic formula for a fractional average fluence error resulting from a systematic gap error of Δ$\chi$ and show that it is inversely proportional to ALPO; explicitly it is equal to, (equation omitted) in which $\varepsilon$ is generally of the order of 1 mm and Δx=2ㆍΔRFO+CMO. This analytic relationship is verified with independent numerical calculations.

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Experimental Evaluation of Proton Dose Calculations in Phantoms Simulating a Clinical Heterogeneity in Patients

  • Kohno, Ryosuke;Takada, Yoshihisa;Sakae, Takeji;Terunuma, Toshiyuki;Matsumoto, Keiji;Nohtomi, Akihiro;Matsuda, Hiroyuki
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2002년도 Proceedings
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    • pp.208-210
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    • 2002
  • In a treatment planning for actual patients with a complex internal structure, we often expect that proton beams, which pass through both a bolus and the heterogeneity in body, will form complex dose distributions. Therefore, the accuracy of the calculated dose distributions has to be verified for such a complex object. Then dose distributions formed by proton beams passing through both the bolus and phantoms simulating a clinical heterogeneity in patients were measured using a silicon semiconductor detector. The calculated results by the range-modulated pencil beam algorithm (RMPBA) produced large errors compared with the measured dose distributions since dose calculation using the RMPBA could not predict accurately the edge-scattering effect both in the bolus and in clinical heterogeneous phantoms. On the other hand, in spite of this troublesome heterogeneity, calculated results by the simplified Monte Carlo (SMC) method reproduced the experimental ones well. It is obvious that the dose-calculations by the SMC method will be more useful for application to the treatment planning for proton therapy.

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Clinical Manifestations of Inborn Errors of the Urea Cycle and Related Metabolic Disorders during Childhood

  • Endo, Fumio;Matsuura, Toshinobu;Yanagita, Kaede;Matsuda, Ichiro
    • 대한유전성대사질환학회지
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    • 제5권1호
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    • pp.76-87
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    • 2005
  • Various disorders cause hyperammonemia during childhood. Amongthem are those caused by inherited defects in urea synthesis and related metabolic pathways. These disorders can be grouped into two types: disorders of the enzymes that comprise the urea cycle, and disorders of the transporters or metabolites of theamino acids related to the urea cycle. Principal clinical features of these disorders are caused by elevated levels of blood ammonium. Additional disease-specific symptoms are related to the particular metabolic defect. These specific clinical manifestations are often due to an excess or lack of specific amino acids. Treatment of urea cycle disorders and related metabolic diseases consists of nutritional restriction of proteins, administration of specific amino acids, and use of alternative pathways for discarding excess nitrogen. Although combinations of these treatments are extensively employed, the prognosis of severe cases remains unsatisfactory. Liver transplantation is one alternative for which a better prognosis is reported.

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투약.수혈 바코드 시스템 적용 평가 (Evaluation of the Bar Code Medication Administration and Blood Transfusion System in a Tertiary Hospital)

  • 조명숙;송미라;장미라
    • 간호행정학회지
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    • 제18권1호
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    • pp.23-32
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    • 2012
  • Purpose: The purpose of this study was to assess the clinical application of a bar code medication administration and blood transfusion system and to identify its effects from the aspect of patient safety and nurse satisfaction in a tertiary hospital. Methods: The system in this study was PDA with bar code reading capability and wireless networking function. The logs created during application of the system and administration error reports were analyzed. For nurses' satisfaction with the system, data were collected from 337 nurses using the instrument developed by Otieno et al. and analyzed using descriptive statistics. Results: The system application rate was 98.8%, and the main failure cases in the system application included bar code or network related factors. When the system was applied, 0.02% of errors were prevented. The nurses were satisfied with the system from the aspect of patient safety, however relatively less satisfied with the system from the aspect of work efficiency. Conclusion: The results of the study indicate the usefulness for patient safety of applying the bar code medication administration and blood transfusion system to clinical practice. However technological improvements including bar code and network communication are necessary to ensure higher work efficiency in nursing practice.

An Iterative Normalization Algorithm for cDNA Microarray Medical Data Analysis

  • Kim, Yoonhee;Park, Woong-Yang;Kim, Ho
    • Genomics & Informatics
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    • 제2권2호
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    • pp.92-98
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    • 2004
  • A cDNA microarray experiment is one of the most useful high-throughput experiments in medical informatics for monitoring gene expression levels. Statistical analysis with a cDNA microarray medical data requires a normalization procedure to reduce the systematic errors that are impossible to control by the experimental conditions. Despite the variety of normalization methods, this. paper suggests a more general and synthetic normalization algorithm with a control gene set based on previous studies of normalization. Iterative normalization method was used to select and include a new control gene set among the whole genes iteratively at every step of the normalization calculation initiated with the housekeeping genes. The objective of this iterative normalization was to maintain the pattern of the original data and to keep the gene expression levels stable. Spatial plots, M&A (ratio and average values of the intensity) plots and box plots showed a convergence to zero of the mean across all genes graphically after applying our iterative normalization. The practicability of the algorithm was demonstrated by applying our method to the data for the human photo aging study.

EPID를 이용한 정위적방사선수술의 중심점 검사에 대한 연구 (Isocenter Check and QA of Tactic Radiosurgery Devices Using EPID)

  • 신교철;최상규;김정기;정동혁
    • 한국의학물리학회지:의학물리
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    • 제25권4호
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    • pp.281-287
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    • 2014
  • 본 연구에서는 선형가속기를 이용한 정위적방사선수술의 시행에 있어서 필수적인 품질관리의 하나로서 Winston Lutz 시험을 상용의 전자포털영상장치를 이용하여 수행하였다. 전형적으로 이용되는 필름 분석 방법을 추가로 시행하여 EPID 방법의 장점을 평가하였다. EPID 방법으로 결정한 등중심 오차는 필름 방법으로 구한 값과 최대 0.32 mm 이내로 일치하는 것으로 나타났다. EPID를 이용한 Winston Lutz 시험은 시간의 절약 측면과 측정시의 개인 오차를 방지하는 측면에서 매우 실용적인 방법이라고 생각된다.