• 제목/요약/키워드: medical method

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의료보험 수가수준의 조정을 위한 의료보험경제지수 (Medical Insurance Economic Index: MIEI)의 개발 (The Development of the Korean Medical Insurance Economic Index(MIEI))

  • 김한중;손명세;박은철;최귀선;박웅섭;임종건;지영건
    • 보건행정학회지
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    • 제9권1호
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    • pp.156-177
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    • 1999
  • The current method of rate adjustment for inflation is based on the evaluation of the financial performance of hospitals. The method has the disadvantage such as too complicated, expensive process as well as low reliability. This study, therefore, develops the 'Korean Medical Insurance Economic Index(MIEI)' as a new model for the rate adjustment with the use of the macro economic indices. In addition, we calculate the 1992∼1998 rate adjustment with the MIEI, and examines the validity of the MIEI by comparing with the conventional method. Medical costs are classified into nine categories : physician salaries, nurse·pharmacist·medical technician salaries, assistants & others salaries, material cost(by imports), material cost(by domestics), depreciation & rent paid(by imports), depreciation & rent paid(by domestics), power utilities, other administrative costs. Then the category weight which is the ratio of category in the total cost is calculated. Macro economic indices are selected for each cost category in order to reflect the concept of the each cost category and inflation during the year of 1992∼1998. Finally MIEI which integrate all category according to the category weight and selected macro indices is calculated. The mean of hospital MIEI which weighting by amount paid by insurers was cacluated. The result from the application of empirical data to the MIEI model is very similar to that of the current method. Furthermore, this method is very simple and also easy to get social consensus. This MIEI model can be replaced the current method based on the analysis of the financial performance for the adjustment of medical fees.

『동의보감(東醫寶鑑)』에 나타난 분제(分劑) 제약법(製藥法)에 관한 고찰 (A Study on the Divisional Pharmaceutical Method in 『Donguibogam』)

  • 尹基領;金鍾鉉
    • 대한한의학원전학회지
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    • 제34권2호
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    • pp.45-62
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    • 2021
  • Objectives : To study the characteristics and meaning of the division pharmaceutical method in the Donguibogam through analysis of formulas that apply such method. Methods : Each formula applying the division method within the Donguibogam was analyzed Results & Conclusions : In the Donguibogam, medicinals to which the division pharmaceutical method was applied were baizhu[白朮], cangzhu[蒼朮], zhiqiao[枳殼], wuzhuyu[吳茱萸], xiangfuzi[香附子], chuanlianzi[川練子], huangbo[黃柏], etc. Formulas where this method was used were few, while the four methods that were used, together with the Center represents the principle of the five phases. The formulas that applied the division method usually did not adopt the tablet or decoction form, which means they were meant to treat slowly, treating deficiency or stagnation diseases due to problems in the middle-lower body such as the Spleen, Liver and Kidney. It could be said that compared to other more common formulas, this was a unique method. The division pharmaceutical method allows for usage of a wider variety of processing methods compared to single ingredient formulas, while there is lower chance of interference among the different types of processing. Another benefit is that the properties of the main medicinal ingredient could be preserved as much as possible. In addition, the division method allows for the main ingredient and the processed ingredient to interact exclusively, after which the processed medicinal is eliminated leaving only the main ingredient. This allows for maximum improvement of the main ingredient. The division method includes the principles of formula composition as well, whose concept could be positioned between single ingredient formulas and common formulas.

보안성을 고려한 스마트 의료기기 관리(Secure-MEMP) 방법에 관한 연구 (A Study on the Smart Medical Equipment Management Program (Secure-MEMP) Method Considering Security)

  • 김동원
    • 융합보안논문지
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    • 제21권1호
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    • pp.63-72
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    • 2021
  • 병원의 Biomedical engineering team은 의료기기가 안전하고 신뢰할 수 있도록 의료기기 관리 프로그램(MEMP, Medical Equipment Management Program)을 수립하고 규제할 책임이 있다. 기술의 발전으로 인공지능, 정밀의료 등 의료기기는 언제 어디서나 사물들 간 연결이 가능한 형태로 발전하고 있으며 다양한 기술의 융합에 따라 내외·부 보안위협이 지속적으로 증가하고 있다. 본 논문에서는 기술의 발전으로 지속적으로 증가하는 의료기기의 보안위협을 고려하여 안전한 의료기기 관리 프로그램(Secure-MEMP) 방법을 연구 제시한다.

DEVELOPMENT OF FAST-DISSOLVING TABLET(FDT) CONTAINING ONDANSETRON HYDROCHLORIDE ($Onseran^{TM}$)

  • Joo, Soo-Yeon;Park, Young-Joon;Kang, Dae-Sik;Kim, Hyun-Soo;Lee, Jong-Wook;Choi, Kyong-Up;Bok, Hae-Sook;Song, Geun-Seog;Choi, Yong
    • 대한약학회:학술대회논문집
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    • 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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    • pp.414.1-414.1
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    • 2002
  • To improve the compliance of oral administration of drugs in cancer patients, who are unable to swallow tablets, FDT containing ondansetron HCI($Onseran^{TM}$) was developed with a low-cost manufacturing process. $Onseran^{TM}$ was prepared from ondansetron. mannitol, crospovidone. and others with a direct compression method. The disintegration time and dissolution rate of $Onseran^{TM}$ were assessed according to the USP method. The results were compared with those of the reference drug ($Zofran^{TM}$). (omitted)

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처방 유사도 분석의 효율성 향상에 관한 연구 (A Study on Prescription Similarity Analysis for Efficiency Improvement)

  • 黃秀敬;禹東賢;金基郁;李丙旭
    • 대한한의학원전학회지
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    • 제35권4호
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    • pp.1-9
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    • 2022
  • Objectives : This study aims to increase efficiency of the prescription similarity analysis method that uses drug composition ratio. Methods : The controlled experiment compared result generation time, generated data quantity, and accuracy of results between previous and new analysis method on the 12,598 formulas and 61 prescription groups. Results : The control group took 346 seconds on average and generated 768,478 results, while the test group took 24 seconds and generated 241,739 results. The test group adopted a selective calculation method that only used overlapping data between two formulas instead of analyzing all number of cases. It simplified the data processing process, reducing the quantity of data that is required to be processed, leading to better system speed, as fast as 14.47 times more than previous analysis method with equal results. Conclusions : Efficiency for similarity analysis could be improved by reducing data span and simplifying the calculation processes.

임상간호사의 의료보험수가 지식정도 (A Study of Knowledge of Medical Insurance Costs by Clinical Nurses)

  • 이혜순
    • 기본간호학회지
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    • 제10권3호
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    • pp.300-306
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    • 2003
  • Purpose: This study was done to help provide patients with information on medical insurance cost through medical insurance education for nurses, to increase effective management, check on omissions in treatment and appropriateness and accuracy of fees, and to contribute to the economic growth of hospital by providing nurses with necessary knowledge about medical insurance cost. Method: The participants in this study were clinical nurses in general hospitals. The study instrument was a questionnaire developed by the researcher through reference to data for medical insurance education. The data were analyzed with percentages, means, ANOVA, and Duncan method using SPSS PC+10. Result: The results on knowledge of medical insurance according to general characteristics of the nurses showed that there were significant differences according to age: (p=.0036) highest level of education (p=.0007), position (p=.0010) and place where education on medical insurance was received (p=.0093). Conclusion: Continuous in-service education for clinical nurses is reflected in increased knowledge about medical insurance costs but special attention needs to be given to younger nurses and nurses with less education, as well as staff nurses, and those nurses who only received education on medical insurance during their schooling. Accordingly, in-service education is necessary for nurses at the time of orientation so that they have knowledge on standards for recuperation allowance, guidelines to calculate material costs, and guidelines to calculate drug rates. In addition, as medical insurance cost frequently change, all nurses need continuous in-service education.

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"의방유취(醫方類聚)"에 인용된 "오장육부도(五臟六腑圖)"의 장부도인법(臟腑導引法) 복원에 관한 연구 (A Study on Restitution of technique of medical massage of viscera and bowels of Picture of five viscera and six bowels Quote in Classified Assemblage of Medical Prescriptions)

  • 김대형;안상우
    • 한국한의학연구원논문집
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    • 제15권2호
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    • pp.21-31
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    • 2009
  • Picture of five viscera and six bowels is a Taoist document written by a Taoist woman named Hoeum during Tang dynasty. It contains not only medical contents but also technique of medical massage of viscera and bowels that controls and prevents diseases of Five viscera in the body. Since Picture of five viscera and six bowels was cited in Classified Assemblage of Medical Prescriptions publised in Joseon dynasty during king Seongjong, technique of medical massage of viscera and bowels has been mentioned in Dongeuibogam and has become an important means to exercise five viscera and six bowels to not only medical men but also Confucianists, Taoists, and common people. But nowadays, the detailed exercising method of technique of medical massage of viscera and bowels is not transmitted. The need of restoring practice method of technique of medical massage of viscera and bowels for people of today is required. Here I restitute technique of medical massage of viscera and bowels and present ist reproduction. I hope it will be useful for further research on restitution of technique of medical massage of viscera and bowels.

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Medical Image Analysis Using Artificial Intelligence

  • Yoon, Hyun Jin;Jeong, Young Jin;Kang, Hyun;Jeong, Ji Eun;Kang, Do-Young
    • 한국의학물리학회지:의학물리
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    • 제30권2호
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    • pp.49-58
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    • 2019
  • Purpose: Automated analytical systems have begun to emerge as a database system that enables the scanning of medical images to be performed on computers and the construction of big data. Deep-learning artificial intelligence (AI) architectures have been developed and applied to medical images, making high-precision diagnosis possible. Materials and Methods: For diagnosis, the medical images need to be labeled and standardized. After pre-processing the data and entering them into the deep-learning architecture, the final diagnosis results can be obtained quickly and accurately. To solve the problem of overfitting because of an insufficient amount of labeled data, data augmentation is performed through rotation, using left and right flips to artificially increase the amount of data. Because various deep-learning architectures have been developed and publicized over the past few years, the results of the diagnosis can be obtained by entering a medical image. Results: Classification and regression are performed by a supervised machine-learning method and clustering and generation are performed by an unsupervised machine-learning method. When the convolutional neural network (CNN) method is applied to the deep-learning layer, feature extraction can be used to classify diseases very efficiently and thus to diagnose various diseases. Conclusions: AI, using a deep-learning architecture, has expertise in medical image analysis of the nerves, retina, lungs, digital pathology, breast, heart, abdomen, and musculo-skeletal system.

견갑골 전후방향 검사 시 변형된 자세의 유용성 평가 (Effectiveness of the Modified Position of Scapular AP Projection)

  • 허재;이승철;박정훈;김광수;이관섭
    • 대한디지털의료영상학회논문지
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    • 제15권2호
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    • pp.7-11
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    • 2013
  • Purpose: This study was to evaluate effectiveness of the modified position in scapular AP (anteriopo-sterior) projection. Materials and Methods: From June 2012 to July 2013, scapular AP projection was examined in 108 patients by use of conventional method and in 40 patients by use of modified method. We compared between conventional method and modified method following variables including sex, age, height, weight, and BMI. We measured and compared distance between lateral border of the scapular and the rib to confirm the separation of the scapular from the lung fields including the ribs. Results: The scapular AP projection was technically successful in all patients. There was no significant difference in patient characteristics including sex, age, height, weight, and BMI between conventional method and modified method. The mean distance between lateral border of the scapular and rib in conventional method and modified method was 15.09 mm and 26.33 mm, respectively. Modified method was significantly increased the distance between lateral border of the scapular and rib compared with conventional method (P < .01). Conclusion: The modified position in scapular AP projection was effective method to separate between the scapular and lung fields including the ribs compared with conventional position of scapular AP projection.

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