23 papers · ranked by Valyu relevance
JEWC (Lisette) van Gemert-Pijnen
Implementation can be described as a process of several planned and guided activities to launch, introduce and maintain technologies in a certain context to innovate or improve healthcare. These activities deliver the evidence for adoption and upscaling a technology in healthcare practices. Based on knowledge, insights…
Dominique de Waard, Ryan Gainer, Meaghan Sim, Claudia Cote + 3 more
The field of implementation science is vast and can be difficult to navigate. The majority of clinicians introducing new interventions and/or protocols do not have training in implementation science. The introduction of new medical interventions takes on average 17 years to integrate into healthcare practice.1…
Maria E. Fernandez, Byron J. Powell, Gill A. Ten Hoor
The development, or selection and tailoring, of strategies to implement evidence-based interventions (EBIs) is essential for closing the research-to-practice gap and improving health and health equity. Although Intervention Mapping (1) includes planning implementation strategies within its 6-step protocol for planning…
Karen Dryden-Palmer, Whitney B. Berta, Christopher S. Parshuram
Background Designing implementation programs that effectively integrate complex healthcare innovations into complex settings is a fundamental aspect of knowledge translation. We describe the development of a conceptually grounded implementation program for a complex healthcare innovation and its subsequent application…
Kym Warhurst, Zephanie Tyack, Michael Beckmann, Bridget Abell
1## Introduction The translation of new evidence and interventions into clinical practice remains a significant challenge for contemporary, evidence-based healthcare. There is a lag of 15 to 17 years for research evidence to be implemented into clinical practice (). Such delays in knowledge translation may have…
Rachel Moyal-Smith, James C. Etheridge, Ami Karlage, Yves Sonnay + 4 more
'Christina T. Yuan' 'Joaquim M. Havens' 'Mary E. Brindle' 'William Berry'] Background The first attempt to implement a new tool or practice does not always lead to the desired outcome. Re-implementation, which we define as the systematic process of reintroducing an intervention in the same environment, often with some…
Christina Humer, Henry Heberle, Floriane Montanari, Thomas Wolf + 4 more
The introduction of machine learning to small molecule research – an inherently multidisciplinary field in which chemists and data scientists combine their expertise and collaborate – has been vital to making screening processes more efficient. In recent years, numerous models that predict pharmacokinetic properties or…
Marta Pasquini, Marco Stenta
Background. The increasing amount of chemical reaction data makes traditional ways to navigate its corpus less effective, while the demand for novel approaches and instruments is rising. Recent data science and machine learning techniques support the development of new ways to extract value from the available reaction…
John Ovretveit
The fast-changing environment for healthcare in all countries calls for new approaches to achieving improvements. This article proposes that improve-mentation is one such approach. Improve-mentation synergistically combines elements of implementation and improvement sciences, as well as experience to carry out change…
Vincent Lostanlen, Han Han
— The concept of metamerism originates from colorimetry, where it describes a sensation of visual similarity between two colored lights despite significant differences in spectral content. Likewise, we propose to call "musical metamerism" the sensation of auditory similarity which is elicited by two music fragments…
Phương Nguyễn, Ben Hörz
Implementations of measurement kernels in high-level Lattice QCD frameworks enable rapid prototyping, but can leave hardware capabilities significantly underutilized. This is an acceptable tradeoff if the time spent in unoptimized routines is generally small. The computational cost of modern spectroscopy projects…
Silvia Formica, Carlos González-García, Mehdi Senoussi, Daniele Marinazzo + 1 more
Implementing novel instructions is a complex and uniquely human cognitive ability, that requires the rapid and flexible conversion of symbolic content into a format that enables the execution of the instructed behavior. Preparing to implement novel instructions, as opposed to their mere maintenance, involves the…
John Damm Scheuer
This paper aims to show how organizational translation theories and models may supplement implementation science with a new process perspective on how knowledge objects such as Cochrane reviews, clinical guidelines and reference programs are implemented in practice in healthcare organizations. They build on Bruno…
Fernanda I. Saldívar-González, Diana L. Prado-Romero, B. Raziel Cedillo-González, Ana L. Chávez-Hernández + 4 more
Searching, retrieving, and analyzing chemical information is one of the main tasks faced by students and professionals in chemistry-related scientific disciplines. Currently, freely available modules developed in programming languages, such as Python, allow efficient data management and facilitate obtaining information…
Christian Guzman Ruiz, Matthew L. Dawson, Mario Acosta, Oriol Jorba + 3 more
'Eduardo César' 'Carlos Pérez García‐Pando' 'Kim Serradell'] Abstract. Atmospheric models demand a lot of computational power and solving the chemical processes is one of its most computationally intensive components. This work shows how to improve the computational performance of the Multiscale Online Nonhydrostatic…
Authors not listed
Our study focused on the implementation and testing of machine learning interatomic potentials (MLIPs) into the AMBER software suite. This implementation enables us to perform a novel type of molecular dynamics simulation utilizing the hybrid machine learning/molecular mechanics (ML/MM) potentials. To underpin the…
Takashi Katoh, Keisuke Goto
Initializing all elements of an array to a specified value is a basic operation that frequently appears in numerous algorithms and programs. Initializable arrays are abstract arrays that support initialization as well as reading and writing of any element of the array in less than linear time proportional to the length…
Sofia Fregni, Uta Wolfensteller, Hannes Ruge
We used fMRI to investigate the neural changes and representational dynamics associated with different learning modes during initial learning and subsequent implementation of previously acquired stimulus-response (S-R) associations. We compared instruction-based learning (INS) and trial-and-error learning (TE) via a…
Michael A. Bender, Alex Conway, Martı́n Farach-Colton, Hanna Komlós + 1 more
'William Kuszmaul'] The list-labeling problem is one of the most basic and well-studied algorithmic primitives in data structures, with an extensive literature spanning upper bounds, lower bounds, and data management applications. The classical algorithm for this problem, dating back to 1981, has amortized cost (log2…
Tim van Timmeren, Nadza Dzinalija, John P. O’Doherty, Sanne de Wit
People often have good intentions but fail to adhere to them. Implementation intentions, a form of strategic planning, can help people to close this intention-behavior gap. Their effectiveness has been proposed to depend on the mental formation of a stimulus-response association between a trigger and target behavior…
Simone Romeni, Elena Losanno, Elisabeth Koert, Luca Pierantoni + 3 more
Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon the implantation procedure and the subject’s anatomy. Currently, few…
Filippos Christou, Andreas Kirstädter
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Authors not listed
Automated chemistry platforms hold the potential to enable large-scale organic synthesis campaigns, such as producing a library of compounds for biological evaluation. The efficiency of such platforms will depend on the schedule according to which the synthesis operations are executed. In this work, we study the…