BMC Medical Informatics and Decision Making This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Optimising ePrescribing in hospitals through the interoperability of systems and processes: a qualitative study in the UK, US, Norway and the Netherlands
Investment in the implementation of hospital ePrescribing systems has been a priority in many economically-developed countries in order to modernise the delivery of healthcare. However, maximum gains in the sa... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 11, 2023 Category: Information Technology Authors: Catherine Heeney, Matt Bouamrane, Stephen Malden, Kathrin Cresswell, Robin Williams and Aziz Sheikh Tags: Research Source Type: research

Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis
An awareness of antecedents of acceptance of digital contact tracing (DCT) can enable healthcare authorities to design appropriate strategies for fighting COVID-19 or other infectious diseases that may emerge ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 11, 2023 Category: Information Technology Authors: Kuang-Ming Kuo Tags: Research Source Type: research

Development of a knowledge-based healthcare-associated infections surveillance system in China
In the modern era of antibiotics, healthcare-associated infections (HAIs) have emerged as a prominent and concerning health threat worldwide. Implementing an electronic surveillance system for healthcare-assoc... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 10, 2023 Category: Information Technology Authors: Yu Cao, Yaojun Niu, Xuetao Tian, DeZhong Peng, Li Lu and Haojun Zhang Tags: Research Source Type: research

Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study
Electronic medical records (EMRs) contain a wealth of information related to breast cancer diagnosis and treatment. Extracting relevant features from these medical records and constructing a knowledge graph ca... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 10, 2023 Category: Information Technology Authors: Xiaolong Li, Shuifa Sun, Tinglong Tang, Ji Lu, Lijuan Zhang, Jie Yin, Qian Geng and Yirong Wu Tags: Research Source Type: research

On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry
Providing optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient ’s condition and deciding on transport destinatio... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 9, 2023 Category: Information Technology Authors: Anna Bakidou, Eva-Corina Caragounis, Magnus Andersson Hagiwara, Anders Jonsson, Bengt Arne Sj öqvist and Stefan Candefjord Tags: Research Source Type: research

Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy
There are many Machine Learning (ML) models which predict acute kidney injury (AKI) for hospitalised patients. While a primary goal of these models is to support clinical decision-making, the adoption of incon... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 9, 2023 Category: Information Technology Authors: Amir Kamel Rahimi, Moji Ghadimi, Anton H. van der Vegt, Oliver J. Canfell, Jason D. Pole, Clair Sullivan and Sally Shrapnel Tags: Research Source Type: research

Associations between blood pressure control and clinical events suggestive of nutrition care documented in electronic health records of patients with hypertension
Clinical events suggestive of nutrition care found in electronic health records (EHRs) are rarely explored for their associations with hypertension outcomes. (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 9, 2023 Category: Information Technology Authors: April R. Williams, Maria D. Thomson and Erin L. Britton Tags: Research article Source Type: research

Prostate cancer detection using e-nose and AI for high probability assessment
This research aims to develop a diagnostic tool that can quickly and accurately detect prostate cancer using electronic nose technology and a neural network trained on a dataset of urine samples from patients ... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 6, 2023 Category: Information Technology Authors: J. B. Talens, J. Pelegri-Sebastia, T. Sogorb and J. L. Ruiz Tags: Research Source Type: research

Development and validation of a case definition for problematic menopause in primary care electronic medical records
This study develope... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 5, 2023 Category: Information Technology Authors: Anh N.Q. Pham, Michael Cummings, Nese Yuksel, Beate Sydora, Tyler Williamson, Stephanie Garies, Russell Pilling, Cliff Lindeman and Sue Ross Tags: Research Source Type: research

Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in machine learning
Given the increasing number of dementia patients worldwide, a new method was developed for machine learning models to identify the ‘latent needs’ of patients and caregivers to facilitate patient/public involve... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 5, 2023 Category: Information Technology Authors: Nanae Tanemura, Tsuyoshi Sasaki, Ryotaro Miyamoto, Jin Watanabe, Michihiro Araki, Junko Sato and Tsuyoshi Chiba Tags: Research Source Type: research

Research on the doctors ’ win in crowdsourcing competitions: perspectives on service content and competitive environment
Medical crowdsourcing competitions can help patients get more efficient and comprehensive treatment advice than “one-to-one” service, and doctors should be encouraged to actively participate. In the crowdsourc... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 5, 2023 Category: Information Technology Authors: Xiuxiu Zhou, Shanshan Guo and Hong Wu Tags: Research Source Type: research

Smartphone-based application to control and prevent overweight and obesity in children: design and evaluation
Obesity is a multifaceted condition that impacts individuals across various age, racial, and socioeconomic demographics, hence rendering them susceptible to a range of health complications and an increased ris... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 4, 2023 Category: Information Technology Authors: Zahra Zare, Elmira Hajizadeh, Maryam Mahmoodi, Reza Nazari, Leila Shahmoradi and Sorayya Rezayi Tags: Research Source Type: research

Development of a machine learning-based acuity score prediction model for virtual care settings
Healthcare is increasingly digitized, yet remote and automated machine learning (ML) triage prediction systems for virtual urgent care use remain limited. The Canadian Triage and Acuity Scale (CTAS) is the gol... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 3, 2023 Category: Information Technology Authors: Justin N. Hall, Ron Galaev, Marina Gavrilov and Shawn Mondoux Tags: Research Source Type: research

Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles
Even for an experienced neurophysiologist, it is challenging to look at a single graph of an unlabeled motor evoked potential (MEP) and identify the corresponding muscle. We demonstrate that supervised machine... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 2, 2023 Category: Information Technology Authors: Jonathan Wermelinger, Qendresa Parduzi, Murat Sariyar, Andreas Raabe, Ulf C. Schneider and Kathleen Seidel Tags: Research Source Type: research

Design and development of a mobile-based self-care application for patients with depression and anxiety disorders
Depression and anxiety can cause social, behavioral, occupational, and functional impairments if not controlled and managed. Mobile-based self-care applications can play an essential and effective role in cont... (Source: BMC Medical Informatics and Decision Making)
Source: BMC Medical Informatics and Decision Making - October 2, 2023 Category: Information Technology Authors: Khadijeh Moulaei, Kambiz Bahaadinbeigy, Esmat Mashoof and Fatemeh Dinari Tags: Research Source Type: research