Results 51 to 60 of about 25,889 (242)

Does Computerized Physician Order Entry Benefit from Dynamic Structured Data Entry? A Quasi-Experimental Study

BMC Medical Informatics and Decision Making, 2018
Background With advancements in information technology, computerized physician order entry (CPOE) and electronic Medical Records (eMR), have become widely utilized in medical settings.
George Linn, Yung-Hsiang Ying, Koyin Chang   +2 more
doaj   +1 more source

Transparent Inorganic–Organic Bilayer Neural Electrode Array and Integration to Miniscope System for In Vivo Calcium Imaging and Electrophysiology

Advanced Functional Materials, EarlyView.
This study presents the BioCLEAR system, a highly transparent and conductive neural electrode array composed of silver nanowires (AgNWs) and doped PEDOT:PSS, enabling neural recordings with minimal optical artifacts. When integrated with a GRIN lens, this cost‐effective neural implant allows simultaneous electrophysiological recording and GCaMP6‐based ...
Dongjun Han, Kevin Cheng, Swathy Sampath Kumar, Anil Bollimunta, Elizabeth E. Torr, Juhwan Kim, Kyoungmin Kim, Hyungjun Choi, Seongkwon Hwang, Sarah Brodnick, David Cheng, Lindsay Gray, Yei Hwan Jung, William L. Murphy, Aaron J. Suminski, Jonathan J. Nassi, Justin C. Williams, Dong‐Wook Park   +17 more
wiley   +1 more source

Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions

BMC Health Services Research, 2010
Background The main objective of this research is to identify, categorize, and analyze barriers perceived by physicians to the adoption of Electronic Medical Records (EMRs) in order to provide implementers with beneficial intervention options.
Broekhuis Manda, Boonstra Albert
doaj   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Emerging Data Management Roles for Health Librarians in Electronic Medical Records

Journal of the Canadian Health Libraries Association, 2014
Objective: To examine current and developing data management roles and opportunities for health librarians to become involved in electronic medical record (EMR) initiatives.
Mary Corbett, Ariel Deardorff, Iris Kovar-Gough   +2 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Evaluation of Hospital Information Systems in the Medical Records Department

مدیریت اطلاعات سلامت, 2010
Introduction: Use of a computerised system improves the effectiveness and efficiency of a medical record department on condition that managers and medical record staff design it according to needs.
Maryam Ahmadi, Maryam Barabadi, Mehran Kamkar Haghigh   +2 more
doaj  

Computational challenges and human factors influencing the design and use of clinical research participant eligibility pre-screening tools

BMC Medical Informatics and Decision Making, 2012
Background Clinical trials are the primary mechanism for advancing clinical care and evidenced-based practice, yet challenges with the recruitment of participants for such trials are widely recognized as a major barrier to these types of studies.
Pressler Taylor R, Yen Po-Yin, Ding Jing, Liu Jianhua, Embi Peter J, Payne Philip R O   +5 more
doaj   +1 more source

High‐Spatiotemporal‐Resolution Transparent Thermoelectric Temperature Sensor Arrays Reveal Temperature‐Dependent Windows for Reversible Photothermal Neuromodulation

Advanced Functional Materials, EarlyView.
Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee, Dongjo Yoon, Jungha Lee, Duhee Kim, Eunui Kim, Jong‐Hyeok Yoon, Hyuk‐Jun Kwon, Seungjun Chung, Yoonkey Nam, Hongki Kang   +9 more
wiley   +1 more source

High‐Resolution Characterization of Protein‐Conjugated, mRNA‐Loaded Lipid Nanoparticles by Analytical Ultracentrifugation

Advanced Functional Materials, EarlyView.
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird, Connor Smith, Nahal Habibi, Samantha Rivera, Saeed Mortezazadeh, Reece Martin, Benjamin M. Geilich, Gilles Besin, Borries Demeler   +8 more
wiley   +1 more source