Results 211 to 220 of about 86,897 (256)

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial. [PDF]

open access: yesJMIR Res Protoc
Gellad WF   +15 more
europepmc   +1 more source

Systematic review of approaches to informed consent in recent high-impact clinical trials. [PDF]

open access: yesJ Clin Transl Sci
Propes C   +7 more
europepmc   +1 more source
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The notion of ‘information’ in genetics: a pragmatic model

Journal of Biological Education, 2021
In this paper I suggest a pragmatic model for the notion of ‘information’used in molecular biology in the description of protein synthesis. Discarding any ontological commitments of the term information’, I propose a view of information based on an analogy with communication.This view could at least supplement the existing information-metaphor that ...
openaire   +1 more source

Informed Consent for Pragmatic Trials — The Integrated Consent Model

New England Journal of Medicine, 2014
The authors argue that informed consent is ethically necessary in pragmatic trials that randomly assign individual patients to treatments, even when treatment options are within the standard of care. They propose integration of a streamlined consent process into routine practice.
Scott Y H, Kim, Franklin G, Miller
openaire   +2 more sources

13 Feasibility of the pragmatic PBPK modelling approach – towards model-informed dosing in paediatric clinical care

Archives of Disease in Childhood, 2023
IntroductionMore than half of all drugs are still prescribed off-label to children. To support off-label dosing, pharmacokinetic (PK) data are needed. Physiologically-based pharmacokinetic (PBPK) models are increasingly used to study PK and guide dosing decisions. We hypothesize that combining existing compound models with a paediatric population model
Joyce van der Heijden   +4 more
openaire   +1 more source

A Generic Formulated KID Model for Pragmatic Processing of Data, Information, and Knowledge

2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015
Data without interpretation have no value and only attain value when they are assessed and interpreted with existing knowledge. Information is the core element in forming knowledge and knowledge is essential to the processing of data and information. Existing knowledge can be used not only for interpreting data but also assimilating of and entailing ...
Atsushi Sato, Runhe Huang
openaire   +1 more source

Concept into Architecture: A Pragmatic Modeling Method for the Acquisition and Representation of Information

2021
Process models are very important in a wide range of application areas, for example, software development or operational management. The first step in modeling a process is gaining information and knowledge engineering. This information documented as process models are a very important part of Enterprise Architectures (EAs).
Sebastian Jahnen   +2 more
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Information Modeling Based on Semantic and Pragmatic Meaning

2005
In traditional modeling approaches, such as entity-relationship modeling, the predominant information modeling problem is how to represent external reality in the system in a true way. In these approaches, semantic aspects of language are in focus. In contrast to this, the main information modeling problem could be to understand how information systems
Owen Ericksson, Pär J. Agerfalk
openaire   +1 more source

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