• 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.

• Journal of Korean Critical Care Nursing
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• v.15 no.1
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• pp.13-23
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• 2022

Purpose : Life-threatening illnesses represent a crisis for individual patients and their families. Little has been made to understand the priorities or perspectives in developing a care plan. This results in poor outcomes, and patients and families return home without being satisfied with the care provided. This study aimed to address nurses' and families' care priorities on patient and family-centered care principles and compare those priorities. Methods : A quantitative comparative descriptive research was conducted. The data were part of a study that was carried out to elicit and compare nurses' and families' perceptions of complying with patient and family-centered care (PFCC) principles in intensive care units (ICU) in Ghana. The respondents were ICU nurses (n=123) and family members of hospitalized patients in the ICU (n=111). The tool for the study was a "modernized version of a hospital self-assessment inventory on PFCC," and data analyses were performed using SPSS version 20.0. Results : Nurses and families differed significantly in their priorities of care based on the principles of PFCC. The means and p-values were significantly different for the definition, pattern of care and access to information/education, and the overall total scores of the patient and family-centered care principles (PFCCP) Conclusion : To render care that aligns with the care priority of families and patients in the ICU, nurses must plan care in consultation with their families.

• The Korean Society of Law and Medicine
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• v.18 no.2
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• pp.47-73
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• 2017

Medical certificate is a document to demonstrate a patient's health status, made up and signed by a physician, dentist, or oriental physician who attended the patient. It serves as an evidence in many official process including civil or criminal law suit, especially for one's personal injury. The Korean legal system also acknowledges and protects the evidentiary function of medical certificate by mandating physicians etc. to issue medical certificate in good faith and only when they personally attended the patient, and by criminally punishing them when they do not comply with these legal requirements. There are some reasons, however, that medical certificates often do not reflect the true health status of the patient: When physicians attend the patient and collect information regarding the health status of the patient, their priority is and should be the most cost-effective way to meet the health needs of the patient. It does not necessarily correspond to the accurate examination of the health status of the patient. Even when the patient's report on the history of the illness or the injury seems suspicious, physicians might have to avoid disproving it because that kind of attitude might harm the rapport between the physician and the patient. All these can distort the perception of the physicians and this distortion can be reproduced in the medical certificate they made up. Some of these problems might be resolved or at least enhanced by introducing new form of medical certificate which would guide physicians to reveal the nature, factual and theoretical grounds, and the limit of their findings more accurately. Others, however, would not be able to address, because it stems from the conflict between the physician's primary duty, duty to be loyal to the patient's life and health, and his secondary duty to serve as a public or neutral witness on the health status of the patient, and when both values or duties conflict with each other, they should choose the duty to the patient sacrificing the duty to the public or the court.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.3
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• pp.552-558
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• 2010

This is an example of ABSTRACT format. This study proposes a hypertension management system that implements a signal collision avoidance algorithm for RFID tags and enables accurate medical services for hypertension patients. The proposed system enables the mobile RFID reader to accurately recognize the RFID tag signals emitted from the patient by using OR logic. Moreover, the system adopts a multi-agent approach to provide and manage information on patient condition and automated medical service in a mobile environment.

• Korean Journal of Head & Neck Oncology
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• v.26 no.2
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• pp.193-197
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• 2010

Objectives : Patients with neck tumor and their family need every information about the disease. Especially, the size and location are confusing with verbal information. With the aid of CT, the problem had some answer, but it needs some medical education. We would like to know the usefullness of 3D reconstructed images in patient education about the disease. Material and Methods : Neck CT data were collected from 10 patients with various neck tumors and converted to 3D reconstructed images. Understanding of the patients about the size and location of tumors were rated from questionaires using axial CT images and 3D images. Results : Understanding score about 3D images were greater than that of CT images(p<0.006). Conclusion : 3D reconstructed images of CT could give the patients more real visual information about the disease.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.4
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• pp.1090-1105
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• 2012

A multi-modal sensing M2M healthcare monitoring system for the continuous monitoring of patients under their natural physiological states or elderly persons with chronic diseases is summarized. The system is designed for homecare or the monitoring of the elderly who live in country side or small rest home without enough support from caregivers or doctors, instead of patient monitoring in big hospital environment. Further insights into the natural cause and progression of diseases are afforded by context-aware sensing, which includes the use of accelerometers to monitor patient activities, or by location-aware indoor tracking based on ultrasonic and RF sensing. Moreover, indoor location tracking provides information about the location of patients in their physical environment and helps the caregiver in the provision of appropriate support.

• Smart Media Journal
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• v.3 no.1
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• pp.28-32
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• 2014

It is practical nowadays to automate data recording in order to prevent loss and tampering of records. There are existing technologies that satisfy this needs and one of them is wireless sensor networks (WSN). Wireless body sensor networks (WBSN) are wireless networks and information-processing systems which are deployed to monitor medical condition of patients. In terms of performance, WBSNs are restricted by energy, and communication between nodes. In this paper, we focused in improving the performance of communication to achieve less energy consumption and to save power. The main idea of this paper is to prioritize nodes that exhibit a sudden change of vital signs that could put the patient at risk. Cluster head is the main focus of this study in order to be effective; its main role is to check the sent data of the patient that exceeds threshold then transfer to the sink node. The proposed scheme implemented added a time-based protocol to sleep/wakeup mechanism for the sensor nodes. We seek to achieve a low energy consumption and significant throughput in this study.

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.1
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• pp.66-69
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• 2015

Recently with the development of IT technology, the medical technology have been developed in various ways. Among them, WBAN can check the state of the patient in real time. However, the data generated by these techniques have a problem that they have heterogeneous properties depending on the type of sensors and devices. In this paper, we proposed a method using meta repository as a way to provide the sensing data of WBAN for the health care system by integrating along the HL7 standard item.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1602-1612
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• 2017

Since rapidly disseminating of Internet of Things (IoT) as the new communication paradigm, a number of studies for various applications is being carried out. Especially, interest in the smart medical system is rising. In the smart medical system, a number of medical devices are distributed in popular area such as station and medical center, and this high density of medical device distribution can cause serious performance degradation of communication, referred to as the coexistence problem. When coexistence problem occurs in smart medical system, reliable transmitting of patient's biological information may not be guaranteed and patient's life can be jeopardized. Therefore, coexistence problem in smart medical system should be resolved. In this paper, we propose a distributed coexistence mitigation scheme for IoT-based smart medical system which can dynamically avoid interference in coexistence situation and can guarantee reliable communication. To evaluate the performance of the proposed scheme, we perform extensive simulations by comparing with IEEE 802.15.4 MAC protocol which is a traditional low-power communication technology.

• Journal of information and communication convergence engineering
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• v.19 no.3
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• pp.166-174
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• 2021

A large volume of patient data is generated from various devices used in healthcare applications. With increase in the volume of data generated in the healthcare industry, more wellness monitoring is required. A cloud-enabled analysis of healthcare data that predicts patient risk factors is required. Machine learning techniques have been developed to address these medical care problems. A novel technique called the radix-trie-based Tanimoto kernel regressive infomax boost classification (RT-TKRIBC) technique is introduced to analyze the heterogeneous health data in the cloud to predict the health risks and send alerts. The infomax boost ensemble technique improves the prediction accuracy by finding the maximum mutual information, thereby minimizing the mean square error. The performance evaluation of the proposed RT-TKRIBC technique is realized through extensive simulations in the cloud environment, which provides better prediction accuracy and less prediction time than those provided by the state-of-the-art methods.