• Title/Summary/Keyword: Patient location

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Computed tomography-guided 3D printed patient-specific regional anesthesia

  • Jundt, Jonathon S.;Chow, Christopher C.;Couey, Marcus
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.20 no.5
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    • pp.325-329
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    • 2020
  • Classic anesthetic techniques for the inferior alveolar nerve, lingual nerve, and long buccal nerve blockade are achieved by estimating the intended location for anesthetic deposition based on palpation, inspection, and subsequent correlation for oral anatomical structures. The present article utilizes computed tomography (CT) data to 3D print a guide for repeatable and accurate deposition of a local anesthetic at the ideal location. This technical report aims to anatomically define the ideal location for local anesthetic deposition. This process has the potential to reduce patient discomfort, risk of nerve damage, and failed mandibular anesthesia, as well as to reduce the total anesthetic dose. Lastly, as robotic-based interventions improve, this provides the initial framework for robot-guided regional anesthesia administration in the oral cavity.

A Study on Particle Filter based on KLD-Resampling for Wireless Patient Tracking

  • Ly-Tu, Nga;Le-Tien, Thuong;Mai, Linh
    • Industrial Engineering and Management Systems
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    • v.16 no.1
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    • pp.92-102
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    • 2017
  • In this paper, we consider a typical health care system via the help of Wireless Sensor Network (WSN) for wireless patient tracking. The wireless patient tracking module of this system performs localization out of samples of Received Signal Strength (RSS) variations and tracking through a Particle Filter (PF) for WSN assisted by multiple transmit-power information. We propose a modified PF, Kullback-Leibler Distance (KLD)-resampling PF, to ameliorate the effect of RSS variations by generating a sample set near the high-likelihood region for improving the wireless patient tracking. The key idea of this method is to approximate a discrete distribution with an upper bound error on the KLD for reducing both location error and the number of particles used. To determine this bound error, an optimal algorithm is proposed based on the maximum gap error between the proposal and Sampling Important Resampling (SIR) algorithms. By setting up these values, a number of simulations using the health care system's data sets which contains the real RSSI measurements to evaluate the location error in term of various power levels and density nodes for all methods. Finally, we point out the effect of different power levels vs. different density nodes for the wireless patient tracking.

An UHISRL design to protect patient's privacy and to block its illegal access based on RFID (환자의 프라이버시 보호와 불법 접근 차단을 위한 RFID 기반 UHISRL 설계)

  • Lee, Byung Kwan;Jeong, Eun Hee
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.3
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    • pp.57-66
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    • 2014
  • This paper proposes the UHISRL(Ubiquitous Healthcare Information System based on Real Time Location) which manages patient, doctor, medicine by using RFID. The proposed UHISRL monitors the patient's health state, and enables us to confirm the result with Smart Phone and Tablet PC. Also, it can block Replay and Spoofing attack by using the ERHL(Extended Randomized Hash Lock) authentication scheme designed in this paper. A patient privacy is enhanced by limiting UHISRL DB access according to attributes with CP-ABE (Cipher Text - Attributed based Encryption) technique. Specially, UHISRL can prevent an unexpected accident by monitoring a chronic patient's emergency situation in real time.

A Study on Nonpatient Revenues in University Hospitals (대학병원의 의료외수익에 관한 연구)

  • Yang, Jong-Hyun;Lee, Jung-Woo
    • The Korean Journal of Health Service Management
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    • v.8 no.2
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    • pp.1-10
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    • 2014
  • This study examined nonpatient revenues of university hospitals in korea. The data source for this study was 22 university hospitals over the period 2010-2012. In this study, patient revenues, patient expenses, operating profit, nonpatient revenues, total revenues, operating margin, normal profit to gross revenues, ratio of the nonpatient revenues in the total revenues were analysed by the annual and three-year average. The analysis of nonpatient revenue differences by hospital type, bed size, location, management performance was performed by T-test and oneway ANOVA. The results were as follows. First, nonpatient revenues of university hospitals were increased during the period 2010-2012. Second, nonpatient revenues according to hospital type, bed size, location in the university hospitals had significant difference. Third, hospital type was significantly associated with normal profit to gross revenues which was profitability index about nonpatient revenues. Based on these results, this study suggests implications to diversify for management performance in hospitals.

An Intramedullary Neurenteric Cyst in the Conus Medullaris with Recurrent Meningitis

  • Park, Yeul-Bum;Kim, Seong-Ho;Kim, Sang-Woo;Chang, Chul-Hoon
    • Journal of Korean Neurosurgical Society
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    • v.41 no.2
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    • pp.130-133
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    • 2007
  • Neurenteric cysts are rare congenital lesions of the spine that are lined with endodermal epithelium. Their most common location is the cervico-dorsal region, and the mass usually lies ventral to the spinal cord. However the conus medullaris area location is an uncommon location. Neurenteric cysts are best treated by decompression and as near total excision of cyst membrane as possible. We report a case of a 7 year-old-girl with a neurenteric cyst in the conus medullaris. The patient had a history of meningitis and a gait disturbance. Magnetic resonance imaging [MRI] showed an intramedullary mass lesion in the conus medullaris with syringomyelia. There was no associated bone or soft-tissue anomaly. The mass was subtotally removed through a posterior approach. However 4 months later, meningeal irritation signs developed and MRI showed recurrence of the cyst. At the second operation, the cystic membrane was totally removed and the patient's neurological symptoms improved postoperatively. We reports a case of recurred neurenteric cyst occurred in unusual location with the review of literature.

Evaluation of Radiation Dose according to Aneurysm Size and Location during Cerebral Aneurysm Coil Embolization (뇌동맥류 코일 색전술 시술 시 동맥류 크기 및 위치에 따른 방사선량 평가)

  • An, Hyun
    • Journal of radiological science and technology
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    • v.45 no.5
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    • pp.407-412
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    • 2022
  • Cerebral aneurysm coil embolization has the advantages of accurate, low patient burden, and fast recovery time, but efforts are needed to reduce dose due to the burden of exposure radiation dose during interventional procedures. In this study, the area dose product(DAP/Gy·cm2) and fluoro time(min) according to the size of the aneurysm and the location of aneurysm were investigated according to insurance recognition regulations aneurysm classification cerebral aneurysm coil embolization. According to the research method, classification according to the size and location of the aneurysm is first, the size of the aneurysm is divided into less than 4mm, more than 4mm to less than 8mm, and more than 8mm, and second, the dose to the area based on the location site (DAP/Gy·cm2) and fluoro time(min) based on the location site were observed. As a result, the location of the cerebral aneurysm procedure was found to be the Paraclinoid site. During cerebral aneurysm coil embolization, the area dose was 107 Gy·cm2 and fluoro time was 47.41 minutes, showing lower results than domestic studies, and when comparing the area dose product with foreign studies, the area dose product results were similar to that of Turkey and Saudi Arabia. It is expected that it can be used as an objective analysis indicator to establish diagnostic reference levels (DRLs) and patient radiation defense guidelines according to the size of cerebral aneurysm and location of cerebral aneurysm procedures during interventional procedures.

Magnitude of Patient's Cost-sharing for Hospital Services in the National Health Insurance in Korea (의료보험 환자가 병원진료시 부담하는 본인부담 크기)

  • 김창엽;이진석;강길원;김용익
    • Health Policy and Management
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    • v.9 no.4
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    • pp.1-14
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    • 1999
  • The purpose of this study was to estimate the magnitude of patient's actual cost-sharing for hospital services in the National Health Insurance which has been estimated with only a few hospitals or limited number of patients. Also we aimed at analysis of factors influencing the magnitude. Sources of analyzed data were two databases. 1997 medical benefits record of the National Federation of Medical Insurance and 1997 Statistics for Hospital Management from the Korea Institute of Health Services Management(KIHM). We merged two databases and related records for 224 hospitals. based on the identification details of each hospital. The average percent of patients' cost-sharing was 51.7% of total hospital revenues from the insurance. with 40.3% of revenue in inpatient and 67.4% in outpatient. respectively. The contributing hospital factors to the magnitude of cost-sharing were size of hospitals. teaching status. location. number of employed physicians. etc. Larger and university hospital. urban location. and with more physicians were positively correlated with higher level of cost-sharing. Additionally, the higher the expenses of inpatient's treatment was, the higher the size of patient's cost-sharing was. These findings suggest that present level of patients' cost-sharing is quitely high and it is urgent to reduce the patient's cost-sharing to the reasonable level. It would be necessary to extend the coverage of insurance benefits and to develop policies focusing on larger hospitals and inpatient services.

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Geohashed Spatial Index Method for a Location-Aware WBAN Data Monitoring System Based on NoSQL

  • Li, Yan;Kim, Dongho;Shin, Byeong-Seok
    • Journal of Information Processing Systems
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    • v.12 no.2
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    • pp.263-274
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    • 2016
  • The exceptional development of electronic device technology, the miniaturization of mobile devices, and the development of telecommunication technology has made it possible to monitor human biometric data anywhere and anytime by using different types of wearable or embedded sensors. In daily life, mobile devices can collect wireless body area network (WBAN) data, and the co-collected location data is also important for disease analysis. In order to efficiently analyze WBAN data, including location information and support medical analysis services, we propose a geohash-based spatial index method for a location-aware WBAN data monitoring system on the NoSQL database system, which uses an R-tree-based global tree to organize the real-time location data of a patient and a B-tree-based local tree to manage historical data. This type of spatial index method is a support cloud-based location-aware WBAN data monitoring system. In order to evaluate the proposed method, we built a system that can support a JavaScript Object Notation (JSON) and Binary JSON (BSON) document data on mobile gateway devices. The proposed spatial index method can efficiently process location-based queries for medical signal monitoring. In order to evaluate our index method, we simulated a small system on MongoDB with our proposed index method, which is a document-based NoSQL database system, and evaluated its performance.

A wireless sensor network approach to enable location awareness in ubiquitous healthcare applications

  • Singh, Vinay Kumar;Lim, Hyo-Taek;Chung, Wan-Young
    • Journal of Sensor Science and Technology
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    • v.16 no.4
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    • pp.277-285
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    • 2007
  • In this paper, we outline the research issues that we are pursuing towards building of location aware environments for mainly ubiquitous healthcare applications. Such location aware application can provide what is happening in this space. To locate an object, such as patient or elderly person, the active ceiling-mounted reference beacons were placed throughout the building. Reference beacons periodically publish location information on RF and ultrasonic signals to allow application running on mobile or static nodes to study and determine their physical location. Once object-carried passive listener receives the information, it subsequently determines it's location from reference beacons. The cost of the system was reduced while the accuracy in our experiments was fairly good and fine grained between 7 and 12 cm for location awareness in indoor environments by using only the sensor nodes and wireless sensor network technology. Passive architecture used here provides the security of the user privacy while at the server the privacy was secured by providing the authentication using Geopriv approach. This information from sensor nodes is further forwarded to base station where further computation is performed to determine the current position of object.

3D Reconstructed Image of Neck Mass to Improve Patient's Understanding (경부 종물 환자의 이해도 개선을 위한 3차원 재건 영상의 활용)

  • Yoo, Young-Sam
    • 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.