• 제목/요약/키워드: Medical big data

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Effects of Ethical Management on Job Satisfaction and Turnover in the South Korean Service Industry

  • Kim, Jong-Jin;Eom, Tae-Kyung;Kim, Sun-Woong;Youn, Myoung-Kil
    • The Journal of Industrial Distribution & Business
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    • v.6 no.1
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    • pp.17-26
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    • 2015
  • Purpose - Ethical management connects corporate management outcomes and emphasizes organizational cooperation. It also links human resource management, auditing, and financial management to increase employee job satisfaction. A survey of American enterprises showed that employees with high ethical consciousness had greater job satisfaction and lower turnover. Research design, data, and methodology - Hypotheses and models based on previous studies were used to investigate the effects of ethical management on employee job satisfaction and turnover intentions. To examine hypotheses empirically, a questionnaire survey based on previous studies was administered to service business workers in Seoul. Results - The study investigated the effects of ethical management practices in relation to factors such as top management's willingness to put them into practice, their appropriateness and implementation within operations, and their influence on job satisfaction, and also examined the effects of job satisfaction on turnover intentions. Conclusions - Ethical management greatly influences job satisfaction and turnover intentions, providing organizational members with alternatives regarding ethical considerations, and to place a strong emphasis on management willingness and enterprise regulations and policies.

Design of Clinical Big data-based Verifiability Identification Process through Characterization of Medical Device (의료기기의 특성 분석을 통한 임상 빅데이터 기반 검증 가능성 식별 프로세스 설계)

  • Choi, Yoo-Rim;Park, Ye-Seul;Lee, Jung-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.753-756
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    • 2017
  • 의료기기는 사람의 생명과 직접적으로 연관되어 있기 때문에 다른 분야의 기기보다 안전성에 대한 검증이 필수적이다. 의료 분야에서는 안전성 검증을 위해 기기의 허가 심사 조건으로서 소수의 피험자를 대상으로 수행되는 임상 시험이 존재한다. 그러나 임상 시험의 경우 의료기기를 직접 사람에게 적용하여 검증을 진행하기 때문에, 인체에 미칠 위해성을 고려하여 전임상 시험을 수행하고 있다. 하지만 전임상 시험은 동물이나 가상의 물체를 대상으로 수행하여 실제 사람에 대한 적용이 아니기 때문에, 임상 시험에 비해 검증에 대한 효력을 갖지 못한다. 따라서 본 연구에서는 피험자의 안전을 보장할 수 있고, 임상 빅데이터에 축적된 실제 환자의 사례를 활용한 신뢰성 있는 검증 방안을 제안하고자 한다. 그러나 현재 식품의약품안전처에서 제공되고 있는 의료기기 품목군은 개발하고자 하는 의료기기의 임상 빅데이터 기반 검증 가능성을 식별하기 어렵다. 그러므로 본 논문에서는 의료기기에 대한 다양한 특성 분석을 통해 임상 빅데이터 기반 검증 가능성을 식별하기 위한 프로세스를 제안한다. 제안하는 프로세스에서는 의료기기의 검증에 요구되는 데이터의 식별을 통해 임상 빅데이터를 이용한 테스트 데이터 수집 및 이를 활용한 신뢰성 높은 검증을 가능케 한다.

A Heuristic for Drone-Utilized Blood Inventory and Delivery Planning (드론 활용 혈액 재고/배송계획 휴리스틱)

  • Jang, Jin-Myeong;Kim, Hwa-Joong;Son, Dong-Hoon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.106-116
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    • 2021
  • This paper considers a joint problem for blood inventory planning at hospitals and blood delivery planning from blood centers to hospitals, in order to alleviate the blood service imbalance between big and small hospitals being occurred in practice. The joint problem is to determine delivery timing, delivery quantity, delivery means such as medical drones and legacy blood vehicles, and inventory level to minimize inventory and delivery costs while satisfying hospitals' blood demand over a planning horizon. This problem is formulated as a mixed integer programming model by considering practical constraints such as blood lifespan and drone specification. To solve the problem, this paper employs a Lagrangian relaxation technique and suggests a time efficient Lagrangian heuristic algorithm. The performance of the suggested heuristic is evaluated by conducting computational experiments on randomly-generated problem instances, which are generated by mimicking the real data of Korean Red Cross in Seoul and other reliable sources. The results of computational experiments show that the suggested heuristic obtains near-optimal solutions in a shorter amount of time. In addition, we discuss the effect of changes in the length of blood lifespan, the number of planning periods, the number of hospitals, and drone specifications on the performance of the suggested Lagrangian heuristic.

Comorbidity Analysis on ICU Big Data

  • Hyun, Sookyung;Newton, Cheryl
    • International Journal of Advanced Culture Technology
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    • v.7 no.2
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    • pp.13-18
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    • 2019
  • Comorbidity isthe simultaneous presence of two chronic diseases or conditions in a patient. As part of a larger research study, the aims of this study were to explore comorbid conditions in intensive care unit (ICU) patients and to compare the comorbidity across different demographic groups, and to determine what comorbid health problems coexisted in the patients with hospital-acquired pressure injury (HAPI). The average number of comorbid conditions was 6.4 with range from 0-20 in the ICU patients. African American patients had significantly more comorbid health problems than other race/ethnicity groups. Asian and Hispanic female patients showed higher comorbidity than male patients across age. The patients with HAPIs had significantly more comorbid health problems than the patients without HAPIs -- the average numbers were almost two-fold. We found comorbid health problems that existed with HAPI in ICU patients. 'Other diseases of lung' and 'Disorders of fluid, electrolyte, and acid-base balance' were most frequently coexisting health problems in the ICU patients with HAPI. Exploratory plots are helpful to discover patterns or hypotheses relevant to clinical management in critical care. Inclusion of patients' comorbid health problems to ICU HAPI risk assessment may be helpful. Identification of patients at a high risk for the development of HAPI and the early preventative interventions can help reduce length of stay as well as costly complications.

Climate Factors and Their Effects on the Prevalence of Rhinovirus Infection in Cheonan, Korea

  • Lim, Dong Kyu;Jung, Bo Kyeung;Kim, Jae Kyung
    • Microbiology and Biotechnology Letters
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    • v.49 no.3
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    • pp.425-431
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    • 2021
  • The use of big data may facilitate the recognition and interpretation of causal relationships between disease occurrence and climatic variables. Considering the immense contribution of rhinoviruses in causing respiratory infections, in this study, we examined the effects of various climatic variables on the seasonal epidemiology of rhinovirus infections in the temperate climate of Cheonan, Korea. Trends in rhinovirus detection were analyzed based on 9,010 tests performed between January 1, 2012, and December 31, 2018, at Dankook University Hospital, Cheonan, Korea. Seasonal patterns of rhinovirus detection frequency were compared with the local climatic variables for the same period. Rhinovirus infection was the highest in children under 10 years of age, and climatic variables influenced the infection rate. Temperature, wind chill temperature, humidity, and particulate matter significantly affected rhinovirus detection. Temperature and wind chill temperature were higher on days on which rhinovirus infection was detected than on which it was not. Conversely, particulate matter was lower on days on which rhinovirus was detected. Atmospheric pressure and particulate matter showed a negative relationship with rhinovirus detection, whereas temperature, wind chill temperature, and humidity showed a positive relationship. Rhinovirus infection was significantly related to climatic factors such as temperature, wind chill temperature, atmospheric pressure, humidity, and particulate matter. To the best of our knowledge, this is the first study to find a relationship between daily temperatures/wind chill temperatures and rhinovirus infection over an extended period.

Improvement in oral function after an oral exercise program including whole-body exercises

  • Seo, Su-Yeon;Choi, Yoon-Young;Lee, Kyeong-Hee;Jung, Eun-Seo
    • Journal of Korean society of Dental Hygiene
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    • v.21 no.1
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    • pp.5-16
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    • 2021
  • Objectives: To evaluate the impact of an oral exercise program including whole-body exercises on oral function in older people. Methods: The participants (aged ≥65 years) were divided into three groups: intervention group I (only oral exercise), intervention group II (oral exercise with whole-body exercises), and control group (no intervention). The oral health status, saliva flow rate, and oral muscle strength were evaluated. Analyses were performed to compare the three groups and identify the changes in the aforementioned parameters before and after the program. Results: The saliva flow rate significantly increased in intervention groups I and II after the program. Oral muscle strength evaluation using the Iow a oral performance instrument showed that the anterior tongue strength increased significantly in intervention group I; the posterior tongue strength and cheek strength also increased but not significantly. The anterior tongue, posterior tongue, and cheek strengths significantly increased in intervention group II. Conclusions: The oral exercise program including whole-body exercises showed positive effects on the saliva flow rate and oral strength. No significant differences were observed in the quality of life related to oral health.

Digital Transformation Shift in Global Pharmaceutical Industry Going through the Covid-19 Pandemic Era

  • Il Seo;Hak Kyun Yang;Min Joon Seo;Sung Hyun Kim;Jin Tae Hong
    • Asian Journal of Innovation and Policy
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    • v.12 no.1
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    • pp.054-074
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    • 2023
  • With the advent of the '4th Industrial Revolution', digitalization using AI (Artificial Intelligence), big data, IoT (Internet of Things), cloud computing and mobile is accelerating across all industries and global companies have fundamentally reorganized customer experiences, business models, and operations centering on digital transformation. Business innovation drives productivity improvement, process simplification, price, competitiveness and sustainable expansion. Whether digital transformation will be necessary for the current industrial environment is no longer important, and how quickly companies achieve digitalization has emerged as the utmost crucial element in industrial continuity. As non-face-to-face and remote technologies have begun in earnest, and accelerated in the pharmaceutical industry. They are looking for ways to provide value, generate profits, improve efficiency, and sustain the future. Compared to other industries, the pharmaceutical-related sectors have shown high interest in digital transformation especially to reduce costs and meet the challenge of delivering products during the pandemic environment.

Non-invasive evaluation of embryo quality for the selection of transferable embryos in human in vitro fertilization-embryo transfer

  • Jihyun Kim;Jaewang Lee;Jin Hyun Jun
    • Clinical and Experimental Reproductive Medicine
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    • v.49 no.4
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    • pp.225-238
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    • 2022
  • The ultimate goal of human assisted reproductive technology is to achieve a healthy pregnancy and birth, ideally from the selection and transfer of a single competent embryo. Recently, techniques for efficiently evaluating the state and quality of preimplantation embryos using time-lapse imaging systems have been applied. Artificial intelligence programs based on deep learning technology and big data analysis of time-lapse monitoring system during in vitro culture of preimplantation embryos have also been rapidly developed. In addition, several molecular markers of the secretome have been successfully analyzed in spent embryo culture media, which could easily be obtained during in vitro embryo culture. It is also possible to analyze small amounts of cell-free nucleic acids, mitochondrial nucleic acids, miRNA, and long non-coding RNA derived from embryos using real-time polymerase chain reaction (PCR) or digital PCR, as well as next-generation sequencing. Various efforts are being made to use non-invasive evaluation of embryo quality (NiEEQ) to select the embryo with the best developmental competence. However, each NiEEQ method has some limitations that should be evaluated case by case. Therefore, an integrated analysis strategy fusing several NiEEQ methods should be urgently developed and confirmed by proper clinical trials.

Use of Software Agent Technology in Management Information System: A Literature Review and Classification

  • Hamirahanim Abdul Rahman;Jinsoo Park;Jihae Suh
    • Asia pacific journal of information systems
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    • v.29 no.1
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    • pp.65-82
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    • 2019
  • Technological innovations over the years have accentuated the workings in corporate- connected organizations and different application platforms. Hence, a unified management information system (MIS) that can utilize the Web and propel programming developments is required. Software agents, the latest developments in computer software technology, can be utilized to rapidly and effortlessly build integrated information systems. Consequently, 59 research papers on the use of software agents in MIS were identified from top 40 MIS journals published between 2007 and 2017. Then, we reviewed and classified all the research papers according to two categories: application fields and application categories. The application fields consisted of eight sub-groups: manufacturing, telecommunication systems, traffic and transportation management, information filtering and gathering, electronic commerce, business process management, entertainment, and medical care; whereas the application categories consisted of three sub-groups: multi-agent systems, personal assistants, and multi-agent simulation. The research papers were further divided into journal and year of publication, and journal and application field. The objective of our research was to understand the trend of the use software agent technology in MIS by examining the published research paper beside to add knowledge and content to the information system academic discipline.

The Effects of the Revised Elderly Fixed Outpatient Copayment on the Health Utilization of the Elderly (노인외래정액제 개선이 고령층의 의료이용에 미친 영향)

  • Li-hyun Kim;Gyeong-Min Lee;Woo-Ri Lee;Ki-Bong Yoo
    • Health Policy and Management
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    • v.34 no.2
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    • pp.196-210
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    • 2024
  • Background: In January 2018, revised elderly fixed outpatient copayment for the elderly were implemented. When people ages 65 years and older receive outpatient treatment at clinic-level medical institutions (clinic, dental clinic, Korean medicine clinic), with medical expenses exceeding 15,000 won but not exceeding 25,000 won, their copayment rates have decreased differentially from 30%. This study aimed to examine the changes of health utilization of elderly after revised elderly fixed outpatient copayment. Methods: We used Korea health panel data from 2016 to 2018. The time period is divided into before and after the revised elderly fixed outpatient copayment. We conducted Poisson segmented regression to estimate the changes in outpatient utilization and inpatient utilization and conducted segmented regression to estimate the changes in medical expenses. Results: Immediately after the revised policy, the number of clinic and Korean medicine outpatient visits of medical expenses under 15,000 won decreased. But the number of clinic outpatient visits in the range of 15,000 to 20,000 won and Korean medicine clinic in the range of 20,000 to 25,000 won increased. Copayment in outpatient temporarily decreased. The inpatient admission rates and total medical expenses temporarily decreased but increased again. Conclusion: We confirmed the temporary increase in outpatient utilization in the medical expense segment with reduced copayment rates. And a temporary decrease in medical expenses followed by an increase again. To reduce the burden of medical expense among elderly in the long run, efforts to establish chronic disease management policies aimed at preventing disease occurrence and deterioration in advance need to continue.