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EMR applications

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https://www.readbyqxmd.com/read/28423123/n-acetylcysteine-versus-dopamine-to-prevent-acute-kidney-injury-after-cardiac-surgery-in-patients-with-preexisting-moderate-renal-insufficiency
#1
Omer Faruk Savluk, Fusun Guzelmeric, Yasemin Yavuz, Deniz Cevirme, Emre Gurcu, Halide Ogus, Tulay Orki, Tuncer Kocak
Objective: Acute kidney injury after cardiac surgery is associated with mortality and morbidity. Therefore, strategies to prevent acute kidney injury are very important. The aim of this placebo-controlled randomized double-blind study was to compare the prophylactic efficacy of N-Acetylcysteine and dopamine administration in patients with pre-existing moderate renal insufficiency who were undergoing cardiopulmonary bypass. Methods: This study included 135 patients with pre-existing moderate renal insufficiency who were scheduled for coronary artery bypass grafting surgery...
January 2017: Brazilian Journal of Cardiovascular Surgery
https://www.readbyqxmd.com/read/28412052/-the-relationship-between-preoperative-anxiety-levels-and-vasovagal-incidents-during-the-administration-of-spinal-anesthesia
#2
Mürsel Ekinci, Birzat Emre Gölboyu, Onur Dülgeroğlu, Murat Aksun, Pınar Karaca Baysal, Erkan Cem Çelik, Ayşe Nur Yeksan
BACKGROUND: It was aimed to investigate the relationship between preoperative anxiety and vasovagal symptoms observed during the administration of spinal anesthesia in patients undergoing surgery in the perianal and inguinal regions. METHODS: The study included patients with planned surgery for inguinal hernia repair, anal fissure, hemorrhoid and pilonidal sinus excision. The study included a total of 210 patients of ASA I-II, aged 18-65 years. Patients were evaluated in respect of demographic characteristics, smoking and alcohol consumption, ASA grade and educational level...
April 12, 2017: Revista Brasileira de Anestesiologia
https://www.readbyqxmd.com/read/28410555/microwave-properties-of-one-dimensional-photonic-structures-based-on-composite-layers-filled-with-nanocarbon
#3
Ludmila Vovchenko, Oleg Lozitsky, Igor Sagalianov, Ludmila Matzui, Vilen Launets
This work presents the results of computer modeling and experimental measurements of microwave transmission properties for one-dimensional periodic multi-layered photonic structures (PCs), composed of epoxy layers and composite layers filled with nanocarbon particles-multi-walled carbon nanotubes and graphite nanoplatelets. The results show that the characteristics of observed photonic band gaps in transmission spectra of PC can be controlled by varying the parameters of layers, namely, the complex permittivity and the layer thickness...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28395258/a-pollution-fate-and-transport-model-application-in-a-semi-arid-region-is-some-number-better-than-no-number
#4
Zeynep Özcan, Oğuz Başkan, H Şebnem Düzgün, Elçin Kentel, Emre Alp
Fate and transport models are powerful tools that aid authorities in making unbiased decisions for developing sustainable management strategies. Application of pollution fate and transport models in semi-arid regions has been challenging because of unique hydrological characteristics and limited data availability. Significant temporal and spatial variability in rainfall events, complex interactions between soil, vegetation and topography, and limited water quality and hydrological data due to insufficient monitoring network make it a difficult task to develop reliable models in semi-arid regions...
April 7, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28391811/a-study-of-emr-based-medical-knowledge-network-and-its-applications
#5
Chao Zhao, Jingchi Jiang, Zhiming Xu, Yi Guan
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis model based on this network. METHODS: The dataset of our study contains 992 records which are uniformly sampled from different departments of the hospital. In order to integrate the knowledge of these records, an EMR-based medical knowledge network (EMKN) is constructed...
May 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28386594/nanotechnology-driven-therapeutic-interventions-in-wound-healing-potential-uses-and-applications
#6
REVIEW
Suzana Hamdan, Irena Pastar, Stefan Drakulich, Emre Dikici, Marjana Tomic-Canic, Sapna Deo, Sylvia Daunert
The chronic nature and associated complications of nonhealing wounds have led to the emergence of nanotechnology-based therapies that aim at facilitating the healing process and ultimately repairing the injured tissue. A number of engineered nanotechnologies have been proposed demonstrating unique properties and multiple functions that address specific problems associated with wound repair mechanisms. In this outlook, we highlight the most recently developed nanotechnology-based therapeutic agents and assess the viability and efficacy of each treatment, with emphasis on chronic cutaneous wounds...
March 22, 2017: ACS Central Science
https://www.readbyqxmd.com/read/28375702/beyond-antibodies-as-binding-partners-the-role-of-antibody-mimetics-in-bioanalysis
#7
Xiaowen Yu, Yu-Ping Yang, Emre Dikici, Sapna K Deo, Sylvia Daunert
The emergence of novel binding proteins or antibody mimetics capable of binding to ligand analytes in a manner analogous to that of the antigen-antibody interaction has spurred increased interest in the biotechnology and bioanalytical communities. The goal is to produce antibody mimetics designed to outperform antibodies with regard to binding affinities, cellular and tumor penetration, large-scale production, and temperature and pH stability. The generation of antibody mimetics with tailored characteristics involves the identification of a naturally occurring protein scaffold as a template that binds to a desired ligand...
March 24, 2017: Annual Review of Analytical Chemistry
https://www.readbyqxmd.com/read/28375665/application-of-a-natural-language-processing-algorithm-to-asthma-ascertainment-an-automated-chart-review
#8
Chung-Il Wi, Sunghwan Sohn, Mary C Rolfes, Alicia Seabright, Euijung Ryu, Gretchen Voge, Kay A Bachman, Miguel A Park, Hirohito Kita, Ivana T Croghan, Hongfang Liu, Young J Juhn
RATIONALE: Difficulty of asthma ascertainment and its associated methodological heterogeneity have created significant barriers to asthma care and research. OBJECTIVES: We evaluated the validity of an existing natural language processing (NLP) algorithm for asthma criteria to enable an automated chart review utilizing electronic medical records (EMRs). METHODS: The study was designed as a retrospective birth cohort study utilizing a random sample of 500 subjects from the 1997-2007 Mayo Birth Cohort who were born at Mayo Clinic and enrolled in primary pediatric care at Mayo Clinic Rochester...
April 4, 2017: American Journal of Respiratory and Critical Care Medicine
https://www.readbyqxmd.com/read/28372186/an-electrochemical-immunosensor-for-sensitive-detection-of-escherichia-coli-o157-h7-by-using-chitosan-mwcnt-polypyrrole-with-gold-nanoparticles-hybrid-sensing-platform
#9
Ahmet Güner, Emre Çevik, Mehmet Şenel, Lokman Alpsoy
An electrochemical immunosensor for the common food pathogen Escherichia coli O157:H7 was developed. This novel immunosensor based on the PPy/AuNP/MWCNT/Chi hybrid bionanocomposite modified pencil graphite electrode (PGE). This hybrid bionanocomposite platform was modified with anti-E. coli O157:H7 monoclonal antibody. The prepared bionanocomposite platform and immunosensor was characterized by using cyclic voltammetry (CV). Under the optimum conditions, the results have shown the order of the preferential selectivity of the method is gram negative pathogenic species E...
August 15, 2017: Food Chemistry
https://www.readbyqxmd.com/read/28358602/in-vitro-incorporation-of-radioiodinated-eugenol-on-adenocarcinoma-cell-lines-caco2-mcf7-and-pc3
#10
Emine Dervis, Ayfer Yurt Kilcar, Emin Ilker Medine, Volkan Tekin, Buse Cetkin, Emre Uygur, Fazilet Zumrut Biber Muftuler
Recently, the synthesis of radiolabeled plant origin compounds has been increased due to their high uptake on some cancer cell lines. Eugenol (EUG), a phenolic natural compound in the essential oils of different spices such as Syzygium aromaticum (clove), Pimenta racemosa (bay leaves), and Cinnamomum verum (cinnamon leaf), has been exploited for various medicinal applications. EUG has antiviral, antioxidant, and anti-inflammatory functions and several anticancer properties. The objective of this article is to synthesize radioiodinated ((131)I) EUG and investigate its effect on Caco2, MCF7, and PC3 adenocarcinoma cell lines...
April 2017: Cancer Biotherapy & Radiopharmaceuticals
https://www.readbyqxmd.com/read/28334693/fabrication-of-human-hair-keratin-jellyfish-collagen-eggshell-derived-hydroxyapatite-osteoinductive-biocomposite-scaffolds-for-bone-tissue-engineering-from-waste-to-regenerative-medicine-products
#11
Yavuz Emre Arslan, Tugba Sezgin Arslan, Burak Derkus, Emel Emregul, Kaan C Emregul
In the present study, we aimed at fabricating an osteoinductive biocomposite scaffold using keratin obtained from human hair, jellyfish collagen and eggshell-derived nano-sized spherical hydroxyapatite (nHA) for bone tissue engineering applications. Keratin, collagen and nHA were characterized with the modified Lowry method, free-sulfhydryl groups and hydroxyproline content analysis, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), attenuated total reflectance-fourier transform infrared spectroscopy (ATR-FTIR) and thermal gravimetric analysis (TGA) which confirmed the success of the extraction and/or isolation processes...
March 18, 2017: Colloids and Surfaces. B, Biointerfaces
https://www.readbyqxmd.com/read/28325124/effects-of-obstetric-gel-on-the-process-and-duration-of-labour-in-pregnant-women-randomised-controlled-trial
#12
Mehmet Murat Seval, Tuncay Yüce, Betül Yakıştıran, Yavuz Emre Şükür, Batuhan Özmen, Cem Atabekoğlu, Acar Koç, Feride Söylemez
The present study investigated maternal and neonatal outcomes in pregnant women who used obstetric lubricant gels during active labour. This prospective randomised controlled study included 180 pregnant women. Women were randomly assigned to two groups during the first-stage of labour. Pregnant women in the obstetric gel group received standard antepartum care plus vaginal application of obstetric gel. Women in the control group received standard antepartum care without obstetric gel. Mean duration of the second stage of labour was significantly shorter in the obstetric gel group than control group (45 ± 34 min vs...
March 21, 2017: Journal of Obstetrics and Gynaecology: the Journal of the Institute of Obstetrics and Gynaecology
https://www.readbyqxmd.com/read/28288618/discrepancies-between-perceptions-of-students-and-deans-regarding-the-consequences-of-restricting-students-use-of-electronic-medical-records-on-quality-of-medical-education
#13
Ivan Solarte, Karen D Könings
BACKGROUND: Electronic medical records (EMR) are more used in university hospitals, but the use of EMR by medical students at the workplace is still a challenge, because the conflict of interest between medical accountability for hospitals and quality of medical education programs for students. Therefore, this study investigates the use of EMR from the perspective of medical school deans and students, and determines their perceptions and concerns about consequences of restricted use of EMR by students on quality of education and patient care...
March 13, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28286475/neural-networks-for-time-perception-and-working-memory
#14
Sertaç Üstün, Emre H Kale, Metehan Çiçek
Time is an important concept which determines most human behaviors, however questions remain about how time is perceived and which areas of the brain are responsible for time perception. The aim of this study was to evaluate the relationship between time perception and working memory in healthy adults. Functional magnetic resonance imaging (fMRI) was used during the application of a visual paradigm. In all of the conditions, the participants were presented with a moving black rectangle on a gray screen. The rectangle was obstructed by a black bar for a time period and then reappeared again...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28283485/quit-emr-trial-a-prospective-observational-multicentre-study-to-evaluate-quality-and-24%C3%A2-hours-post-transport-morbidity-of-interhospital-transportation-of-critically-ill-patients-study-protocol
#15
Ulrich Strauch, Dennis C J J Bergmans, Joachim Habers, Jochen Jansen, Bjorn Winkens, Dirk J Veldman, Paul M H J Roekaerts, Stefan K Beckers
INTRODUCTION: It is widely accepted that transportation of critically ill patients is high risk. Unfortunately, however, there are currently no evidence-based criteria with which to determine the quality of various interhospital transport systems and their impact on the outcomes for patients. We aim to rectify this by assessing 2 scores which were developed in our hospital in a prospective, observational study. Primarily, we will be examining the Quality of interhospital critical care transportation in the Euregion Meuse-Rhine (QUIT EMR) score, which focuses on the quality of the transport system, and secondarily the SEMROS (Simplified EMR outcome score) which detects changes in the patient's clinical condition in the 24 hours following their transportation...
March 10, 2017: BMJ Open
https://www.readbyqxmd.com/read/28268937/csdc-a-nationwide-screening-platform-for-stroke-control-and-prevention-in-china
#16
Jinghui Yu, Huajian Mao, Mei Li, Dan Ye, Dongsheng Zhao
As a leading cause of severe disability and death, stroke places an enormous burden on Chinese society. A nationwide stroke screening platform called CSDC (China Stoke Data Center) has been built to support the national stroke prevention program and stroke clinical research since 2011. This platform is composed of a data integration system and a big data analysis system. The data integration system is used to collect information on risk factors, diagnosis history, treatment, and sociodemographic characteristics and stroke patients' EMR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268855/the-effects-of-deep-network-topology-on-mortality-prediction
#17
Hao Du, Mohammad M Ghassemi, Mengling Feng
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attention only in recent years, and it's ultimate place at the bedside remains a topic of skeptical discussion. While there is a growing academic interest in the application of Machine Learning (ML) techniques to clinical problems, many in the clinical community see little incentive to upgrade from simpler methods, such as logistic regression, to deep learning...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268823/prediction-using-patient-comparison-vs-modeling-a-case-study-for-mortality-prediction
#18
Mark Hoogendoorn, Ali El Hassouni, Kwongyen Mok, Marzyeh Ghassemi, Peter Szolovits
Information in Electronic Medical Records (EMRs) can be used to generate accurate predictions for the occurrence of a variety of health states, which can contribute to more pro-active interventions. The very nature of EMRs does make the application of off-the-shelf machine learning techniques difficult. In this paper, we study two approaches to making predictions that have hardly been compared in the past: (1) extracting high-level (temporal) features from EMRs and building a predictive model, and (2) defining a patient similarity metric and predicting based on the outcome observed for similar patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28261529/application-of-queueing-theory-to-the-analysis-of-changes-in-outpatients-waiting-times-in-hospitals-introducing-emr
#19
Kyoung Won Cho, Seong Min Kim, Young Moon Chae, Yong Uk Song
OBJECTIVES: This research used queueing theory to analyze changes in outpatients' waiting times before and after the introduction of Electronic Medical Record (EMR) systems. METHODS: We focused on the exact drawing of two fundamental parameters for queueing analysis, arrival rate (λ) and service rate (µ), from digital data to apply queueing theory to the analysis of outpatients' waiting times. We used outpatients' reception times and consultation finish times to calculate the arrival and service rates, respectively...
January 2017: Healthcare Informatics Research
https://www.readbyqxmd.com/read/28258471/evaluation-of-effectiveness-of-concentrated-growth-factor-on-osseointegration
#20
Cagasan Pirpir, Onur Yilmaz, Celal Candirli, Emre Balaban
BACKGROUND: Growth factor-containing products have been reported to increase implant stability and accelerate osseointegration. Concentrated growth factor (CGF) can be used for this purpose with the growth factors it contains. The aim of this study is to assess the effect of CGF on implant stability and osseointegration. METHODS: Twelve patients with maxillary anterior toothless were included in the study. Implant cavities prepared in the study group were covered with CGF membrane before implant placement, but conventional implant placement was performed in the control group...
December 2017: International Journal of Implant Dentistry
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