• Journal of Preventive Medicine and Public Health
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• v.53 no.3
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• pp.171-174
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• 2020

The coronavirus disease 2019 (COVID-19) pandemic has not only caused significant challenges for health systems all over the globe but also fueled the surge of numerous rumors, hoaxes, and misinformation, regarding the etiology, outcomes, prevention, and cure of the disease. Such spread of misinformation is masking healthy behaviors and promoting erroneous practices that increase the spread of the virus and ultimately result in poor physical and mental health outcomes among individuals. Myriad incidents of mishaps caused by these rumors have been reported globally. To address this issue, the frontline healthcare providers should be equipped with the most recent research findings and accurate information. The mass media, healthcare organization, community-based organizations, and other important stakeholders should build strategic partnerships and launch common platforms for disseminating authentic public health messages. Also, advanced technologies like natural language processing or data mining approaches should be applied in the detection and removal of online content with no scientific basis from all social media platforms. Furthermore, these practices should be controlled with regulatory and law enforcement measures alongside ensuring telemedicine-based services providing accurate information on COVID-19.

• Journal of The Korea Institute of Healthcare Architecture
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• v.18 no.2
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• pp.19-31
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• 2012

Even though there is an increasing recognition that "the disability comes from the ambient environment" and the increasing number of the disabled population, the housing environment for disabled people has not improved, though, having the existing inconvenient housing situation as it was before. Accordingly, have studied on the current situation of domestic housing adaptation projects to find out their problems and limits. Also studied on foreign housing support systems find out the operation system and organization factors which can be utilized when the housing adaptation support system is introduced. As this study has focused on the systematic support such as operation system in housing adaptation but not handled on the physical solutions such as the standard and method of housing adaptation, it has some limits as far as the comprehensive support system is concerned.

• Genomics & Informatics
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• v.11 no.4
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• pp.186-190
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• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• Journal of Korea Multimedia Society
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• v.24 no.7
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• pp.849-859
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• 2021

Prostate cancer (PCa) is a fatal disease that occurs in men. In general, PCa cells are found in the prostate gland. Early diagnosis is the key to prevent the spreading of cancers to other parts of the body. In this case, deep learning-based systems can detect and distinguish histological patterns in microscopy images. The histological grades used for the analysis were benign, grade 3, grade 4, and grade 5. In this study, we attempt to use transfer learning and fine-tuning methods as well as different model architectures to develop and compare the models. We implemented MobileNet, ResNet50, and DenseNet121 models and used three different strategies of freezing layers techniques of fine-tuning, to get various pre-trained weights to improve accuracy. Finally, transfer learning using MobileNet with the half-layer frozen showed the best results among the nine models, and 90% accuracy was obtained on the test data set.

• Health Policy and Management
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• v.29 no.2
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• pp.99-104
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• 2019

On May 1, 2019, the Minister of Health and Welfare announced publicly the first Comprehensive Plan of National Health Insurance (NHI). The Comprehensive Plan which is the 5-year plan including expenditure and revenue aspect of NHI, is desirable in 42 years of introduction of NHI and 30 years of universal coverage of NHI, though the Plan was late and had some conflict process. The Comprehensive Plan was established without evaluation of Moon's Care Plan, did not included to relationship with NHI and other health security systems, and did not have the blue print of NHI. The Plan was not sufficient in content of adequate health care utilization and relationship with service benefit and cash benefit. The Comprehensive Plan should be modified in considering the blue print of NHI and national healthcare system with participating stakeholder in turbulent environment-low fertility, rapid ageing, low economic growth rate, era of non-communicable diseases, unification of the Korean Peninsula, and 4th industrial revolution. Therefore, I suggest to establish the President's Committee of Improving Healthcare System for the blue print of health care and NHI.

• Progress in Medical Physics
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• v.31 no.3
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• pp.81-98
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• 2020

This review aims to provide a brief, comprehensive overview of advanced technologies of nuclear medicine physics, with a focus on recent developments from both hardware and software perspectives. Developments in image acquisition/reconstruction, especially the time-of-flight and point spread function, have potential advantages in the image signal-to-noise ratio and spatial resolution. Modern detector materials and devices (including lutetium oxyorthosilicate, cadmium zinc tellurium, and silicon photomultiplier) as well as modern nuclear medicine imaging systems (including positron emission tomography [PET]/computerized tomography [CT], whole-body PET, PET/magnetic resonance [MR], and digital PET) enable not only high-quality digital image acquisition, but also subsequent image processing, including image reconstruction and post-reconstruction methods. Moreover, theranostics in nuclear medicine extend the usefulness of nuclear medicine physics far more than quantitative image-based diagnosis, playing a key role in personalized/precision medicine by raising the importance of internal radiation dosimetry in nuclear medicine. Now that deep-learning-based image processing can be incorporated in nuclear medicine image acquisition/processing, the aforementioned fields of nuclear medicine physics face the new era of Industry 4.0. Ongoing technological developments in nuclear medicine physics are leading to enhanced image quality and decreased radiation exposure as well as quantitative and personalized healthcare.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.419-426
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• 2021

With the development of the information and communication technology, the smart hospital has become a new trend in a healthcare industry. This study reviewed the concept, key technologies, applications, and future challenges of a smart hospital, and the user-centered strategies for designing a smart hospital. In smart hospitals, digitally enabled clinical staff will be able to produce better patient outcomes by delivering a more integrated patient-centered care with an efficient manner in connected facilities systems. However, to promote a successful patient-centered smart hospital environment in the future, various obstacles regarding cost, technology, security, and standards should be overcome. It is also necessary for patients and medical personnel to be involved as service users.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.121-128
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• 2021

In this work, a noble walkway approach suitable for Saudi Arabia (SA) towards its aim to develop a wide range of smart cities is considered scientifically. This work intends to minimize the errors at each level by testing the events that take place in the walkway environment. similarly, the minimum requirements to develop a walkway to the additional features to be considered while designing a walkway are discussed in this paper with sensitive areas such as environmental factors, healthcare issues, patients visiting the walkways, etc. The applications of different monitoring devices such as CCTV's, global positioning systems (GPS), etc. are carefully addressed to help the proposed method for improving the monitoring activities of a variety of events that possibly cause problems to a common man. The ultimate goal of this work to ensure a safe and satisfied journey of pedestrians while they come for a walk with all suitable safety measures. The safety measures included in this work are for pollution, noise, temperature, humidity and traffic jams on the roads. To improve the accuracy and to test the proposed approach some polices are defined and will be tested for the consistency of the proposed system. The obtained accuracy of the proposed system is proved to be far better with an accuracy of 93% improvement in the results.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1283-1292
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• 2022

At present, several artificial intelligence projects in the healthcare and medical field are competing with each other, and the interfaces between the systems lack unified specifications. Thus, this study presents an artificial intelligence platform for healthcare and medical fields which adopts the deep learning technology to provide algorithms, models and service support for the health and medical enterprise applications. The suggested platform can provide a large number of heterogeneous data processing, intelligent services, model managements, typical application scenarios, and other services for different types of business. In connection with the suggested platform application, we represents a medical service which is corresponding to the trusted and comprehensible tracking and analyzing patient behavior system for Health and Medical treatment using Internet of Behavior concept.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3960-3975
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• 2022

To analyze and compare the most influencing factors on cloud computing adoption (CCA) in the healthcare organization, a systematic review and meta-analyses of studies was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane collaboration recommendations. A search of PubMed, ScienceDirect, Springer, Wiley Online, and Taylor & Francis Online digital libraries (From inception to January 19, 2022) was performed. A total of 17 studies met the defined studies' inclusion and exclusion criteria. Statistical significance difference favoring most influencing factors on CCA were (MD 0.76, 95% CI -1.48 - 3.01, p <0.00001, I² = 90%), (MD 1.40, 95% CI -4.76 - 7.55, p < 0.00007, I² = 97%) (MD 0.17, 95% CI -2.69 - 3.03, p<0.00001, I² = 96%) for technology vs. organizational, technology vs. environmental and business vs. human factors, respectively. Organizational and environmental factors had greater impacts on CCA compared with technological factors. Moreover, business factors were more influential than the human factors.