Purpose: In order to better understand physicians' perspectives about the use of clinical information technology (CIT) to reduce medical errors, we asked physicians about opportunities and issues around clinical use of computerized physician order entry (CPOE) systems, order sets within CPOE, and handheld computers (HHCs).
Methods: We conducted 10 focus groups including 71 physicians involved in technology implementation efforts across the US between April 2002 and February 2005.
Results: Two major themes emerged across focus groups around reliance on CIT to reduce errors: (1) can it work? and (2) at what cost to the medical profession? Within the first theme, physicians expressed concern about the appropriateness of physician-directed CIT as a solution for medical errors, concerns regarding the current technical capabilities and level of technical support for CIT solutions, and concern about the introduction of new errors. Within the second theme, physicians were particularly concerned about time efficiency and workload redistribution associated with the introduction of CIT. Across focus groups, physicians tended to generalize about the role of all IT in their lives, potentially biasing opinions about specific technologies.
Conclusions: Health care organizations attempting to promote physician use of CIT are advised to deepen consideration of physicians' perspectives about technology adoption and use in order to address their concerns, reduce skepticism, and increase the likelihood of implementation success.
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http://dx.doi.org/10.1016/j.ijmedinf.2006.09.021 | DOI Listing |
Radiol Artif Intell
January 2025
Human Phenome Institute and Shanghai Pudong Hospital, Fudan University, Shanghai, China.
. The released CMRxRecon2024 dataset is currently the largest and most protocol-diverse publicly available k-space dataset including multi-modality and multi-view cardiac MRI data from 330 healthy volunteers, and each one covers standardized and commonly used clinical protocols. ©RSNA, 2025.
View Article and Find Full Text PDFCureus
December 2024
Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, IRN.
Background Orthodontic diagnostic workflows often rely on manual classification and archiving of large volumes of patient images, a process that is both time-consuming and prone to errors such as mislabeling and incomplete documentation. These challenges can compromise treatment accuracy and overall patient care. To address these issues, we propose an artificial intelligence (AI)-driven deep learning framework based on convolutional neural networks (CNNs) to automate the classification and archiving of orthodontic diagnostic images.
View Article and Find Full Text PDFIndian J Occup Environ Med
December 2024
Department of Occupational Medicine, Industrial Diseases Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Background: Different domains of cognitive function are important in some jobs, such as office work. Ergonomic risk factors may affect cognitive function.
Aim: This study was designed to assess the effect of an ergonomic training intervention on the cognitive function of office workers.
Expert Rev Pharmacoecon Outcomes Res
January 2025
Merck & Co. Inc, Rahway, NJ, USA.
Background: We evaluated UK nurses' preferences for pediatric hexavalent vaccine attributes.
Research Design And Methods: In a discrete-choice experiment study, 150 nurses chose between 2 hypothetical pediatric hexavalent vaccines with varying attribute levels (device type, plastic in packaging, time on the market, and time the vaccine can stay safely at room temperature) in a series of choice questions. Using random-parameters logit-model estimates, conditional relative attribute importance (CRAI) and odds ratios (ORs) were calculated.
Inspired by human skin, bionic tactile sensing is effectively promoting development and innovation in many fields with its flexible and efficient perception capabilities. Optical fiber, with its ability to perceive and transmit information and its flexible characteristics, is considered a promising solution in the field of tactile bionics. In this work, one optical fiber tactile sensing system based on a flexible PDMS-embedded optical fiber ring resonator (FRR) is designed for braille recognition, and the Pound-Drever-Hall (PDH) demodulation scheme is adopted to improve the detection sensitivity.
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