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Medical informatics
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Ebook "Computational biology: Issues and applications in oncology" provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research.
309p
cotieubac1004
15-03-2024
4
0
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Part 1 book "Clinical nursing skills and techniques" includes content: Using evidence in nursing practice; admitting, transfer and discharge; communication; documentation and informatics; vital signs; health assessment; medical asepsis; sterile technique; safe patient handling, transfer, and positioning; exercise and ambulation; orthopedic measures; support surfaces and special beds; safety and quality improvement; disaster preparedness; pain assessment and basic comfort measures.
394p
muasambanhan08
23-02-2024
1
1
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Part 1 book "The essential physics of medical imaging" includes content: Introduction to medical imaging, radiation and the atom, interaction of radiation with matter, image quality, medical imaging informatics, x-ray production, X-ray tubes, and x-ray generators, radiography, mammography, fluoroscopy, computed tomography,.... and other contents.
588p
oursky09
08-11-2023
8
3
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There are two main tendencies in Medical Informatics. One is the development of core theory in the information technology itself and the other one is the use of technologies in applications for health improving. In this paper, we will present an architectural model of the Medical Diagnostic Laboratory (MDL) and some result.
8p
vifriedrich
06-09-2023
6
1
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Part 1 book "Averys diseases of the newborn" includes content: Neonatal and perinatal epidemiology; biomedical informatics in neonatology; ethics, data, and policy in newborn intensive care; global neonatal health; development, function, and pathology of the placenta; abnormalities of fetal growth; nonimmune hydrops, maternal diabetes; maternal medical disorders of fetal significance; prenatal drug exposure,... and other contents.
566p
oursky03
28-08-2023
2
1
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Emergency departments (EDs) continue to pursue optimal patient flow without sacrificing quality of care. The speed with which a healthcare provider receives pertinent information, such as results from clinical orders, can impact flow. We seek to determine if clinical ordering behavior can be predicted at triage during an ED visit.
10p
visteverogers
24-06-2023
4
2
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Quantify physiologically acceptable PICU-discharge vital signs and develop machine learning models to predict these values for individual patients throughout their PICU episode. EMR data from 7256 survivor PICU episodes (5632 patients) collected between 2009 and 2017 at Children’s Hospital Los Angeles was analyzed. Each episode contained 375 variables representing physiology, labs, interventions, and drugs.
8p
visteverogers
24-06-2023
4
2
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The Johns Hopkins Center for Population Health IT hosted a 1-day symposium sponsored by the National Library of Medicine to help develop a national research and development (R&D) agenda for the emerging field of population health informatics (PopHI).
11p
visteverogers
24-06-2023
5
2
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To reduce wasteful ordering of rare 1,25-OH vitamin D lab tests through use of a noninterruptive decision support tool. Materials and Methods: We conducted a time series quality improvement study at 2 academic hospitals. The titles of vitamin D tests and the order in which they appeared in search results were changed to reflect the purpose and rarity of the tests.
4p
visteverogers
24-06-2023
6
3
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Thorough and ongoing testing of electronic health records (EHRs) is key to ensuring their safety and effectiveness. Many health care organizations limit testing to test environments separate from, and often different than, the production environment used by clinicians.
5p
visteverogers
24-06-2023
6
3
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Event notifications are real-time, electronic, automatic alerts to providers of their patients’ health care encounters at other facilities. Our objective was to examine the effects of organizational capability and related social/organizational issues upon users’ perceptions of the impact of event notifications on quality, efficiency, and satisfaction.
8p
visteverogers
24-06-2023
5
3
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Our objective is to test the limits of the assumption that better learning from data in medicine requires more granular data. We hypothesize that clinical trial metadata contains latent scientific, clinical, and regulatory expert knowledge that can be accessed to draw conclusions about the underlying biology of diseases.
11p
visteverogers
24-06-2023
4
2
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We propose a computational framework for integrating diverse patient measurements into an aggregate health score and applying it to patient stability prediction. We mapped retrospective patient data from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) II clinical database into a discrete multidimensional space, which was searched for measurement combinations and trends relevant to patient outcomes of interest.
6p
visteverogers
24-06-2023
5
2
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The purpose of this study was to measure the number of repeat computed tomography (CT) scans performed across an established health information exchange (HIE) in New York City. The long-term objective is to build an HIE-based duplicate CT alerting system to reduce potentially avoidable duplicate CTs.
9p
visteverogers
24-06-2023
6
2
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Implementation and adoption of complex health information technology (HIT) is gaining momentum internationally. This is underpinned by the drive to improve the safety, quality, and efficiency of care. Although most of the benefits associated with HIT will only be realized through optimization of these systems, relatively few health care organizations currently have the expertise or experience needed to undertake this.
6p
visteverogers
24-06-2023
7
2
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Electronic health records (EHRs) are an increasingly common data source for clinical risk prediction, presenting both unique analytic opportunities and challenges. We sought to evaluate the current state of EHR based risk prediction modeling through a systematic review of clinical prediction studies using EHR data.
11p
visteverogers
24-06-2023
3
2
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The adoption of electronic health records (EHRs) across the United States has impacted the methods by which health care professionals care for their patients. It is not always recognized, however, that pharmacists also actively use advanced functionality within the EHR.
5p
visteverogers
24-06-2023
6
2
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Computer-aided learning (CAL) offers enormous potential in disseminating oral health care information to patients and caregivers. The effectiveness of CAL, however, remains unclear. Objectives: The purpose of this study was to systematically review published evidence on the effectiveness of CAL in disseminating oral health care information to patients and caregivers.
9p
visteverogers
24-06-2023
9
2
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In this systematic review, we aimed to evaluate methodological and reporting trends present in the current literature by investigating published usability studies of electronic health records (EHRs).
9p
visteverogers
24-06-2023
5
2
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Inductive machine learning, and in particular extraction of association rules from data, has been successfully used in multiple application domains, such as market basket analysis, disease prognosis, fraud detection, and protein sequencing. T
7p
visteverogers
24-06-2023
6
2
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