Article
Computer Science, Information Systems
Racha Dabliz, Simon K. Poon, Greg Fairbrother, Angus Ritchie, Garry Soo, Rosemary Burke, Mark Kol, Rebecca Ho, Linh Thai, Jacqueline Laurens, Sergei Ledesma, Arwa Abu Sardaneh, Tracy Leung, Ana L. Hincapie, Jonathan Penm
Summary: The study evaluated the effect of a hospital wide integrated EMMS on medication error rates during ICU admission and at TOC. Results indicated a significant reduction in medication errors during TOC following implementation of the integrated ICU EMMS, with the lowest error rates in system-related error categories.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2021)
Review
Computer Science, Information Systems
Nichole Pereira, Jonathan P. Duff, Tracy Hayward, Tamizan Kherani, Nadine Moniz, Chrystale Champigny, Andrew Carson-Stevens, Paul Bowie, Rylan Egan
Summary: This scoping review examined the methods used to study medication safety following electronic health record (EHR) implementation and found a lack of consistency among different study designs, settings, and data sources, making it difficult to aggregate and synthesize research findings. The majority of studies used a Safety-I perspective, suggesting a need for a more consistent approach to studying medication safety after EHR implementation.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Computer Science, Information Systems
Julie C. Lauffenburger, Cheryl D. Stults, Satish Mudiganti, Xiaowei Yan, Lisa M. Dean-Gilley, Mengdong He, Angela Tong, Michael A. Fischer
Summary: The impact of implementing an electronic prior authorization (ePA) system on prescription filling was evaluated. Despite challenges with implementation, such as misfiring and insurance fragmentation, adoption of ePA did not significantly improve medication adherence.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Medicine, General & Internal
A. Jay Holmgren, David W. Bates
Summary: This study evaluated the association between publicly reported feedback and hospital improvement in medication-related clinical decision support safety performance. The findings suggest that negative feedback can lead to greater improvement in hospital performance compared to positive feedback in the subsequent year.
Article
Computer Science, Artificial Intelligence
Xiaonan Wang, Ranran Zhang
Summary: The emergence of vehicular network enables early road safety warnings by allowing vehicles to retrieve safety information through the network. However, the fragmented topology of the vehicular network due to vehicle mobility poses challenges for communication continuity. To address this, we propose a solution called vehicular Data Delivery based on Virtual Infrastructures (DDVI) that utilizes parking vehicles as virtual infrastructures to enhance data delivery efficiency. Experimental results demonstrate the effectiveness of DDVI in reducing data delivery delays and failures.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Construction & Building Technology
Yanxiao Feng, Julian Wang, Nan Wang, Chenshun Chen
Summary: This paper presents an innovative alert-based occupant-responsive framework for capturing individualized thermal comfort-related data and predicting individualized thermal preference by leveraging wearable sensors and computing technologies. The developed system also highlights the role of alerting functions in the automatic collection of subjective user data and facilitating smart building integration.
BUILDING AND ENVIRONMENT
(2023)
Article
Health Care Sciences & Services
Carrie Reale, Deborah A. Ariosto, Matthew B. Weinger, Shilo Anders
Summary: This study aims to identify risks in common medication tasks and establish benchmarks for safe transition between BCMA systems through simulation-based usability testing.
JOURNAL OF GENERAL INTERNAL MEDICINE
(2023)
Article
Automation & Control Systems
Tolegen Akhmetov, Huseyin Atakan Varol
Summary: Operator inattention can cause accidents in the industry, leading to injuries, deaths, and financial losses. To prevent this, we propose an AI and augmented reality-based warning system. Through experiments and subjective questionnaires, our study compares the warning system with usual safety measures and explores the preference for different warning types. The results show high acceptance of the system and a preference for audiovisual warnings, providing valuable insights for designing effective warning systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Health Care Sciences & Services
Carita Linden-Lahti, Sanna-Maria Kivivuori, Lasse Lehtonen, Lotta Schepel
Summary: This study aimed to describe the changes in reported medication errors (MEs) in Helsinki University Hospital (HUS) during and after the implementation of an EPIC-based electronic health record system (APOTTI) with closed-loop electronic medication management system (EMMS) features. The study found that the implementation phases temporarily increased ME reporting, but it soon decreased back to the earlier level. Administration and dispensing errors decreased, but medication reconciliation, ordering, and prescribing errors increased.
Article
Computer Science, Information Systems
Yujia Tian, Dianliang Xiao, Lu Wang, Hong Chen
Summary: This study analyzed and designed a highway traffic safety early warning system, proposed functional modules including information collection, processing analysis, and warning release. The efficiency of node classification was improved by 13% using the BP neural network algorithm.
COMPUTER COMMUNICATIONS
(2021)
Article
Energy & Fuels
Marui Li, Chaoyu Dong, Binyu Xiong, Yunfei Mu, Xiaodan Yu, Qian Xiao, Hongjie Jia
Summary: This paper proposes a sequential-transformer thermal early warning system (STTEWS) to predict the temperature trend of lithium-ion batteries and implement thermal early warning. A new allied temporal convolution-recurrent diagnosis network (TCRDN) is constructed by combining LSTM and temporal convolution network (TCN) using an adaptive boosting algorithm. A complete transformer thermal diagnosis network (TTDN) is established to fuse important information from thermal images and integrate prediction results for accurate early warning. Experimental results show that STTEWS achieves an accuracy and Fl score of over 95% for thermal diagnosis on multiple datasets.
Article
Computer Science, Information Systems
Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo
Summary: The Covid-19 epidemic has caused significant losses to humanity, and countries have been racing to develop vaccines and issue regulations. This paper proposes a facemask wearing alert system based on a simple convolutional neural network, which can detect whether people are wearing facemasks in public places in real time.
Article
Computer Science, Artificial Intelligence
Hanh Thi-Hong Duong, Linh Thi-My Tran, Huy Quoc To, Kiet Van Nguyen
Summary: An academic warning system was developed utilizing a large amount of educational data and machine learning techniques to address the issue of severe consequences faced by students on academic probation. The system directly reflects students' academic probation status based on their academic performance and utilizes feature generation and selection strategies to build a dataset with informative features for accurate prediction. The proposed two-stage academic warning system for higher education achieved high precision, with F2-scores exceeding 74% using the Support Vector Machine algorithm at the beginning of the semester and exceeding 92% using the LightGBM algorithm before the final examination.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Chemistry, Medicinal
Tanja Stenholdt Andersen, Mia Nimb Gemmer, Hayley Rose Constance Sejberg, Lillian Morch Jorgensen, Thomas Kallemose, Ove Andersen, Esben Iversen, Morten Baltzer Houlind
Summary: Medication reconciliation is crucial for preventing medication errors, but physicians often fail to update the shared electronic prescribing system. This study examined the occurrence of discrepancies, factors associated with discrepancies, and the availability of clinical pharmacists during pharmacy working hours. The findings highlight the frequent discrepancies between the system and patients' actual medication use upon admission to the emergency department.
Article
Computer Science, Information Systems
Claudia Corrente, Saravanan Satkumaran, Ahuva Segal, Coen Butters, Corinne Fernandez, Franz E. Babl, Lisa M. Orme, Karin Thursky, Gabrielle M. Haeusler
Summary: This study evaluated the accuracy and impact of a clinical-facing best practice advisory (BPA) embedded into an electronic medical record workflow. The results showed poor sensitivity and limited impact on clinician behavior, indicating the need for improvement.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Health Care Sciences & Services
Stephen M. Campbell, Brian G. Bell, Kate Marsden, Rachel Spencer, Umesh Kadam, Katherine Perryman, Sarah Rodgers, Ian Litchfield, David Reeves, Antony Chuter, Lucy Doos, Ignacio Ricci-Cabello, Paramjit Gill, Aneez Esmail, Sheila Greenfield, Sarah Slight, Karen Middleton, Jane Barnett, Michael Moore, Jose M. Valderas, Aziz Sheikh, Anthony J. Avery
JOURNAL OF PATIENT SAFETY
(2020)
Article
Health Care Sciences & Services
Rachel Ann Elliott, Matthew J. Boyd, Lukasz Tanajewski, Nick Barber, Georgios Gkountouras, Anthony J. Avery, Rajnikant Mehta, James E. Davies, Nde-Eshimuni Salema, Christopher Craig, Asam Latif, Justin Waring, Antony Chuter
BMJ QUALITY & SAFETY
(2020)
Article
Medical Informatics
Mark Jeffries, Wouter T. Gude, Richard N. Keers, Denham L. Phipps, Richard Williams, Evangelos Kontopantelis, Benjamin Brown, Anthony J. Avery, Niels Peek, Darren M. Ashcroft
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2020)
Article
Medicine, General & Internal
Niels Peek, Wouter T. Gude, Richard N. Keers, Richard Williams, Evangelos Kontopantelis, Mark Jeffries, Denham L. Phipps, Benjamin Brown, Anthony J. Avery, Darren M. Ashcroft
Article
Nursing
Claire Mann, Matthew Boyd, Heidi Davis, Gillian Beardmore, Kathryn Hinsliff-Smith
Summary: This study evaluates the implementation and impact of the General Practice Nurse - Specialty Training program in seven locations in the UK. The findings suggest that the program provides opportunities for deep learning and career development for nurses and has a positive impact on the General Practices.
NURSE EDUCATION IN PRACTICE
(2022)
Article
Allergy
Louise Savic, Michael Ardern-Jones, Anthony Avery, Tim Cook, Sarah Denman, Sophie Farooque, Tomaz Garcez, Rochelle Gold, Nicola Jay, Mamidipudi Thirumala Krishna, Sue Leech, Shauna McKibben, Shuaib Nasser, Nikhil Premchand, Jonathan Sandoe, Jacqueline Sneddon, Amena Warner
Summary: This article introduces guidelines developed by the British Society for Allergy and Clinical Immunology and a committee of experts and stakeholders for the evaluation and testing of patients with an unconfirmed label of penicillin allergy. The guidelines are intended for UK clinicians without allergy or immunology training who wish to provide a penicillin allergy de-labelling service to their patients. The guidelines specifically apply to patients with a penicillin allergy label and do not cover other beta-lactam allergies. The recommendations include a checklist to identify low-risk patients and a framework for drug provocation testing by non-allergists. The guidelines have separate sections for adults and pediatrics to account for reported allergy history and likelihood of true allergy differences.
CLINICAL AND EXPERIMENTAL ALLERGY
(2022)
Article
Multidisciplinary Sciences
Libby Laing, Nde-Eshimuni Salema, Mark Jeffries, Azwa Shamsuddin, Aziz Sheikh, Antony Chuter, Justin Waring, Anthony Avery, Richard N. Keers
Summary: This study aimed to explore the factors influencing the successful adoption, embedding, and sustainable use of a pharmacist-led IT-based intervention in primary care settings in England. Through interviews and surveys, the study identified awareness and perceptions, receptivity to the intervention, engagement, and reflections and adaptations as important factors affecting sustainable use. The study also highlighted facilitators and barriers to sustainable use.
Review
Primary Health Care
Nde-Eshimuni Salema, Brian G. Bell, Kate Marsden, Gill Gookey, Glen Swanwick, Mindy Bassi, Rajnikant Mehta, Nick Silcock, Anthony J. Avery, Richard Knox
Summary: This study describes the frequency and nature of prescribing problems among GPs in training and finds a high rate of prescribing errors and suboptimal prescribing. The results suggest that personalized review of prescribing may have a significant impact on patient safety and larger intervention studies are needed to evaluate its effectiveness.
Article
Medicine, General & Internal
Chris Hawkey, Anthony Avery, Carol A. C. Coupland, Colin Crooks, Jennifer Dumbleton, F. D. Richard Hobbs, Denise Kendrick, Michael Moore, Clive Morris, Gregory Rubin, Murray Smith, Diane Stevenson
Summary: This study aimed to investigate whether eradication of Helicobacter pylori would protect against aspirin-associated peptic ulcer bleeding. The results showed a significant reduction in bleeding risk during the first 2.5 years after H. pylori eradication, but this advantage diminished with longer follow-up.
Meeting Abstract
Public, Environmental & Occupational Health
R. Chauhan, M. J. Boyd, J. Shenton
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
(2022)
Review
Health Care Sciences & Services
Anthony J. Avery, Christina Sheehan, Brian Bell, Sarah Armstrong, Darren M. Ashcroft, Matthew J. Boyd, Antony Chuter, Alison Cooper, Ailsa Donnelly, Adrian Edwards, Huw Prosser Evans, Stuart Hellard, Joanne Lymn, Rajnikant Mehta, Sarah Rodgers, Aziz Sheikh, Pam Smith, Huw Williams, Stephen M. Campbell, Andrew Carson-Stevens
Summary: The study estimated a significant burden of avoidable harm in primary care in England, with diagnostic errors being the main contributing factor. Improvements could be achieved through better implementation of existing information technology, enhanced team coordination and communication, and increased personal and informational continuity of care.
BMJ QUALITY & SAFETY
(2021)
Article
Primary Health Care
Nde-Eshimuni Salema, Naomi Clement, Rexhep Hysenagolli, Rachel Hibberd, Brian G. Bell, Gill Gookey, Anthony Avery, Richard Knox
Summary: This study developed an e-learning course focusing on good prescribing principles, common reasons for prescribing errors, which was well received by respondents who reported positive impacts on prescribing knowledge, skills, and attitudes. The majority agreed that the course was easy to use and a valuable part of their professional education, indicating a need for ongoing training in prescribing.
EDUCATION FOR PRIMARY CARE
(2021)
Review
Psychology, Clinical
Kavita Vedhara, Simon Royal, Kanchan Sunger, Deborah M. Caldwell, Vanessa Halliday, Caroline M. Taylor, Lucy Fairclough, Anthony Avery, Nicky J. Welton
Summary: This study conducted a systematic review and network meta-analysis on non-pharmacological interventions as vaccine adjuvants, finding weak evidence supporting nutritional formulae and probiotics, with limited and unreliable evidence for psychological and exercise-based interventions. Larger, well-designed studies are needed to confirm these findings.
HEALTH PSYCHOLOGY REVIEW
(2021)
Review
Medicine, General & Internal
Alexander Hodkinson, Natasha Tyler, Darren M. Ashcroft, Richard N. Keers, Kanza Khan, Denham Phipps, Aseel Abuzour, Peter Bower, Anthony Avery, Stephen Campbell, Maria Panagioti
Meeting Abstract
Public, Environmental & Occupational Health
F. Agbesanwa, S. Bishop, M. J. Boyd
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY
(2020)