BMC Medical Informatics and Decision Making

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The effect of nursing participation in the design of a critical care information system: a case study in a Chinese hospital
BMC Medical Informatics and Decision Making - Tập 17 - Trang 1-12 - 2017
Yanhong Qin, Ranyun Zhou, Qiong Wu, Xiaodi Huang, Xinli Chen, Weiwei Wang, Xun Wang, Hua Xu, Jing Zheng, Siyu Qian, Changqing Bai, Ping Yu
Intensive care information systems (ICIS) are continuously evolving to meet the ever changing information needs of intensive care units (ICUs), providing the backbone for a safe, intelligent and efficient patient care environment. Although beneficial for the international advancement in building smart environments to transform ICU services, knowledge about the contemporary development of ICIS worl...... hiện toàn bộ
Evaluation of the use of decision-support software in carcino-embryonic antigen (CEA)-based follow-up of patients with colorectal cancer
BMC Medical Informatics and Decision Making - Tập 12 - Trang 1-5 - 2012
Charlotte J Verberne, Cornelis H Nijboer, Geertruida H de Bock, Irene Grossmann, Theo Wiggers, Klaas Havenga
The present paper is a first evaluation of the use of "CEAwatch", a clinical support software system for surgeons for the follow-up of colorectal cancer (CRC) patients. This system gathers Carcino-Embryonic Antigen (CEA) values and automatically returns a recommendation based on the latest values. Consecutive patients receiving follow-up care for CRC fulfilling our in- and exclusion criteria were ...... hiện toàn bộ
Đánh giá Doc’EDS: một công cụ tìm kiếm ngữ nghĩa tiếng Pháp để truy vấn tài liệu y tế từ kho dữ liệu lâm sàng Dịch bởi AI
BMC Medical Informatics and Decision Making - Tập 22 - Trang 1-11 - 2022
Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni, Julien Grosjean
Dữ liệu phi cấu trúc từ hồ sơ sức khỏe điện tử đại diện cho một kho thông tin phong phú. Doc’EDS là một công cụ sàng lọc dựa trên phân tích ngữ nghĩa và văn bản. Hệ thống Doc’EDS cung cấp một giao diện người dùng đồ họa để tìm kiếm tài liệu bằng tiếng Pháp. Mục tiêu của nghiên cứu này là trình bày công cụ Doc’EDS và cung cấp một đánh giá chính thức về các tính năng ngữ nghĩa của nó. Doc’EDS là một...... hiện toàn bộ
#Doc’EDS #tìm kiếm ngữ nghĩa #dữ liệu lâm sàng #Xử lý Ngôn ngữ Tự nhiên #dữ liệu phi cấu trúc
Evaluation of infectious diseases and clinical microbiology specialists’ preferences for hand hygiene: analysis using the multi-attribute utility theory and the analytic hierarchy process methods
BMC Medical Informatics and Decision Making - Tập 17 - Trang 1-10 - 2017
Aslı Suner, Ozlem Ege Oruc, Cagri Buke, Hacer Deniz Ozkaya, Gul Kitapcioglu
Hand hygiene is one of the most effective attempts to control nosocomial infections, and it is an important measure to avoid the transmission of pathogens. However, the compliance of healthcare workers (HCWs) with hand washing is still poor worldwide. Herein, we aimed to determine the best hand hygiene preference of the infectious diseases and clinical microbiology (IDCM) specialists to prevent tr...... hiện toàn bộ
Detection of sentence boundaries and abbreviations in clinical narratives
BMC Medical Informatics and Decision Making - Tập 15 - Trang 1-13 - 2015
Markus Kreuzthaler, Stefan Schulz
In Western languages the period character is highly ambiguous, due to its double role as sentence delimiter and abbreviation marker. This is particularly relevant in clinical free-texts characterized by numerous anomalies in spelling, punctuation, vocabulary and with a high frequency of short forms. The problem is addressed by two binary classifiers for abbreviation and sentence detection. A suppo...... hiện toàn bộ
A Bayesian spatio–temporal approach for real–time detection of disease outbreaks: a case study
BMC Medical Informatics and Decision Making - Tập 14 - Trang 1-18 - 2014
Jian Zou, Alan F Karr, Gauri Datta, James Lynch, Shaun Grannis
For researchers and public health agencies, the complexity of high–dimensional spatio–temporal data in surveillance for large reporting networks presents numerous challenges, which include low signal–to–noise ratios, spatial and temporal dependencies, and the need to characterize uncertainties. Central to the problem in the context of disease outbreaks is a decision structure that requires trading...... hiện toàn bộ
Tracking personalized functional health in older adults using geriatric assessments
BMC Medical Informatics and Decision Making - Tập 20 - Trang 1-10 - 2020
Anup K. Mishra, Marjorie Skubic, Mihail Popescu, Kari Lane, Marilyn Rantz, Laurel A. Despins, Carmen Abbott, James Keller, Erin L. Robinson, Steve Miller
Higher levels of functional health in older adults leads to higher quality of life and improves the ability to age-in-place. Tracking functional health objectively could help clinicians to make decisions for interventions in case of health deterioration. Even though several geriatric assessments capture several aspects of functional health, there is limited research in longitudinally tracking pers...... hiện toàn bộ
CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability
BMC Medical Informatics and Decision Making - Tập 20 - Trang 1-13 - 2020
George C. G. Barbosa, M. Sanni Ali, Bruno Araujo, Sandra Reis, Samila Sena, Maria Y. T. Ichihara, Julia Pescarini, Rosemeire L. Fiaccone, Leila D. Amorim, Robespierre Pita, Marcos E. Barreto, Liam Smeeth, Mauricio L. Barreto
Record linkage is the process of identifying and combining records about the same individual from two or more different datasets. While there are many open source and commercial data linkage tools, the volume and complexity of currently available datasets for linkage pose a huge challenge; hence, designing an efficient linkage tool with reasonable accuracy and scalability is required. We developed...... hiện toàn bộ
A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow
BMC Medical Informatics and Decision Making - Tập 22 - Trang 1-9 - 2022
Samuel Harford, Marina Del Rios, Sara Heinert, Joseph Weber, Eddie Markul, Katie Tataris, Teri Campbell, Terry Vanden Hoek, Houshang Darabi
A growing body of research has shown that machine learning (ML) can be a useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest (OHCA) survival outcomes. However, there remain significant research gaps on the utilization of ML models for decision-making and their impact on survival outcomes. The purpose of this study was to develop ML models that effective...... hiện toàn bộ
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