An empirical study to determine factors that motivate and limit the implementation of ICT in healthcare environments.

abstract：BACKGROUND: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 prefe...

journal_title：BMC medical informatics and decision making

authors： Suner A,Oruc OE,Buke C,Ozkaya HD,Kitapcioglu G

更新日期：2017-08-31 00:00:00

abstract：BACKGROUND:Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect the performance of ML...

journal_title：BMC medical informatics and decision making

authors： Tang B,Cao H,Wu Y,Jiang M,Xu H

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:A main element of patient-centred care, Patient Decision Aids (PtDAs) facilitate shared decision-making (SDM). A recent update of the International Patient Decision Aids Standards (IPDAS) emphasised patient involvement during PtDA development, but omitted a methodology for doing so. This article reports on t...

journal_title：BMC medical informatics and decision making

authors： Nota I,Drossaert CHC,Melissant HC,Taal E,Vonkeman HE,Haagsma CJ,van de Laar MAFJ

更新日期：2017-04-26 00:00:00

abstract：BACKGROUND:Robust, programmatically accessible biomedical information services that syntactically and semantically interoperate with other resources are challenging to construct. Such systems require the adoption of common information models, data representations and terminology standards as well as documented applicat...

journal_title：BMC medical informatics and decision making

authors： Phillips J,Chilukuri R,Fragoso G,Warzel D,Covitz PA

更新日期：2006-01-06 00:00:00

abstract：BACKGROUND:The Variome corpus, a small collection of published articles about inherited colorectal cancer, includes annotations of 11 entity types and 13 relation types related to the curation of the relationship between genetic variation and disease. Due to the richness of these annotations, the corpus provides a good...

journal_title：BMC medical informatics and decision making

authors： Verspoor KM,Heo GE,Kang KY,Song M

更新日期：2016-07-18 00:00:00

abstract：BACKGROUND:Plain language search tools for MEDLINE/PubMed are few. We wanted to develop a search tool that would allow anyone using a free-text, natural language query and without knowing specialized vocabularies that an expert searcher might use, to find relevant citations in MEDLINE/PubMed. This tool would translate ...

journal_title：BMC medical informatics and decision making

authors： Fontelo P,Liu F,Ackerman M

更新日期：2005-03-10 00:00:00

abstract：BACKGROUND:Data mining can be utilized to automate analysis of substantial amounts of data produced in many organizations. However, data mining produces large numbers of rules and patterns, many of which are not useful. Existing methods for pruning uninteresting patterns have only begun to automate the knowledge acquis...

journal_title：BMC medical informatics and decision making

authors： Siadaty MS,Knaus WA

更新日期：2006-03-07 00:00:00

abstract：BACKGROUND:Electronic health records are now widely adopted in medical and behavioral health settings. While they have the potential to improve the quality of care, the research findings on their impact on clinical practice and outcomes have been mixed. This study explores how the electronic health record and its stage...

journal_title：BMC medical informatics and decision making

authors： Stanhope V,Matthews EB

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:Real-world data on the benefit/risk profile of medicines is needed, particularly in patients who are ineligible for randomised controlled trials conducted for registration purposes. This paper describes the methodology and source data verification which enables the conduct of pre-licensing clinical trials of...

journal_title：BMC medical informatics and decision making

authors： Elkhenini HF,Davis KJ,Stein ND,New JP,Delderfield MR,Gibson M,Vestbo J,Woodcock A,Bakerly ND

更新日期：2015-02-07 00:00:00

abstract：BACKGROUND:Most hospitals keep and update their paper-based medical records after introducing an electronic medical record or a hospital information system (HIS). This case report describes a HIS in a hospital where the paper-based medical records are scanned and eliminated. To evaluate the HIS comprehensively, the per...

journal_title：BMC medical informatics and decision making

authors： Laerum H,Karlsen TH,Faxvaag A

更新日期：2004-10-16 00:00:00

abstract：BACKGROUND:Mathematical models can be used to predict individual growth responses to growth hormone (GH) therapy. The aim of this study was to construct and validate high-precision models to predict the growth response to GH treatment of short children, independent of their GH status, birth size and gestational age. As...

journal_title：BMC medical informatics and decision making

authors： Dahlgren J,Kriström B,Niklasson A,Nierop AF,Rosberg S,Albertsson-Wikland K

更新日期：2007-12-12 00:00:00

abstract：BACKGROUND:Adopting mobile electronic medical record (MEMR) systems is expected to be one of the superior approaches for improving nurses' bedside and point of care services. However, nurses may use the functions for far fewer tasks than the MEMR supports. This may depend on their technological personality associated t...

journal_title：BMC medical informatics and decision making

authors： Kuo KM,Liu CF,Ma CC

更新日期：2013-08-12 00:00:00

abstract：BACKGROUND:Discharge planning is a care process that aims to secure the transfer of care for the patient at transition from home to the hospital and back home. Information exchange and collaboration between care providers are essential, but deficits are common. A wide range of initiatives to improve the discharge plann...

journal_title：BMC medical informatics and decision making

authors： Nordmark S,Zingmark K,Lindberg I

更新日期：2016-04-27 00:00:00

abstract：BACKGROUND:New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the...

journal_title：BMC medical informatics and decision making

authors： Buczak AL,Babin S,Moniz L

更新日期：2010-10-14 00:00:00

abstract：BACKGROUND:A major problem patients encounter when reading about health related issues is document interpretation, which limits reading comprehension and therefore negatively impacts health care. Currently, searching for medical definitions from an external source is time consuming, distracting, and negatively impacts ...

journal_title：BMC medical informatics and decision making

authors： Gradie PR,Litster M,Thomas R,Vyas J,Schiller MR

更新日期：2011-01-25 00:00:00

abstract：BACKGROUND:A UK Register of people with Multiple Sclerosis has been developed to address the need for an increased knowledge-base about MS. The Register is being populated via: a web-based portal; NHS neurology clinical systems; and administrative data sources. The data are de-identified and linked at the individual le...

journal_title：BMC medical informatics and decision making

authors： Ford DV,Jones KH,Middleton RM,Lockhart-Jones H,Maramba ID,Noble GJ,Osborne LA,Lyons RA

更新日期：2012-07-18 00:00:00

abstract：BACKGROUND:Different from adult clinical stage I (CS1) testicular cancer, surveillance has been recommended for CS1 pediatric testicular cancer. However, among high-risk children, more than 50% suffer a relapse and progression during surveillance, and adjuvant chemotherapy needs to be administered. Risk-adapted treatme...

journal_title：BMC medical informatics and decision making

authors： Ye YL,Chen ZF,Bian J,Liang HT,Qin ZK

更新日期：2020-12-14 00:00:00

abstract：BACKGROUND:Providers and policymakers are pursuing strategies to increase patient engagement in health care. Increasingly, online sections of medical records are viewable by patients though seldom are clinicians' visit notes included. We designed a one-year multi-site trial of online patient accessible office visit not...

journal_title：BMC medical informatics and decision making

authors： Leveille SG,Walker J,Ralston JD,Ross SE,Elmore JG,Delbanco T

更新日期：2012-04-13 00:00:00

abstract：BACKGROUND: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 enviro...

journal_title：BMC medical informatics and decision making

authors： Qin Y,Zhou R,Wu Q,Huang X,Chen X,Wang W,Wang X,Xu H,Zheng J,Qian S,Bai C,Yu P

更新日期：2017-12-06 00:00:00

abstract：BACKGROUND:Clinical data synthesis aims at generating realistic data for healthcare research, system implementation and training. It protects patient confidentiality, deepens our understanding of the complexity in healthcare, and is a promising tool for situations where real world data is difficult to obtain or unneces...

journal_title：BMC medical informatics and decision making

authors： Chen J,Chun D,Patel M,Chiang E,James J

更新日期：2019-03-14 00:00:00

abstract：BACKGROUND:Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if patients with MS could be identified from their clinical notes prior to...

journal_title：BMC medical informatics and decision making

authors： Chase HS,Mitrani LR,Lu GG,Fulgieri DJ

更新日期：2017-02-28 00:00:00

abstract：BACKGROUND:Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined categories. The aim of this study is to present an evaluat...

journal_title：BMC medical informatics and decision making

authors： Sakr S,Elshawi R,Ahmed AM,Qureshi WT,Brawner CA,Keteyian SJ,Blaha MJ,Al-Mallah MH

更新日期：2017-12-19 00:00:00

abstract：BACKGROUND:SNOMED CT is being increasingly adopted as the standard clinical terminology for health care applications. Existing clinical applications that use legacy interface terminology need to migrate to the preferred SNOMED CT standard. In this paper, we describe our experience and methodology for mapping concepts f...

journal_title：BMC medical informatics and decision making

authors： Wade G,Rosenbloom ST

更新日期：2008-10-27 00:00:00

abstract：BACKGROUND:The District Health Information Software-2 (DHIS2) is widely used by countries for national-level aggregate reporting of health-data. To best leverage DHIS2 data for decision-making, countries need to ensure that data within their systems are of the highest quality. Comprehensive, systematic, and transparent...

journal_title：BMC medical informatics and decision making

authors： Gesicho MB,Were MC,Babic A

更新日期：2020-11-13 00:00:00

abstract：BACKGROUND:Despite advances in diagnosis and treatment of type 2 diabetes, suboptimal metabolic control persists. Patient education in diabetes has been proved to enhance self-efficacy and guideline-driven treatment, however many people with type 2 diabetes do not have access to or do not participate in self-management...

journal_title：BMC medical informatics and decision making

authors： Odnoletkova I,Buysse H,Nobels F,Goderis G,Aertgeerts B,Annemans L,Ramaekers D

更新日期：2016-11-09 00:00:00

abstract：BACKGROUND:Blood cultures are often performed to detect patients who has a serious illness without infections and patients with bloodstream infections. Early positive blood culture prediction is important, as bloodstream infections may cause inflammation of the body, even organ failure or death. However, existing work ...

journal_title：BMC medical informatics and decision making

authors： Cheng M,Zhao X,Ding X,Gao J,Xiong S,Ren Y

更新日期：2020-07-09 00:00:00

abstract：BACKGROUND:Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such reminders: (1) contents of care addressed, (2) their mode of display in the electronic health record (EHR)...

journal_title：BMC medical informatics and decision making

authors： Kersting C,Weltermann B

更新日期：2016-11-24 00:00:00

abstract：BACKGROUND:PubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered u...

journal_title：BMC medical informatics and decision making

authors： Griffon N,Chebil W,Rollin L,Kerdelhue G,Thirion B,Gehanno JF,Darmoni SJ

更新日期：2012-02-29 00:00:00

abstract：BACKGROUND:Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study evaluates prediction of patient-reported outcomes (PROs) by eight supervised classifiers including a l...

journal_title：BMC medical informatics and decision making

authors： Huber M,Kurz C,Leidl R

更新日期：2019-01-08 00:00:00

abstract：BACKGROUND:In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by legal regulations. As part of the BioMedBridges project, which created infrastructures that connect mor...

journal_title：BMC medical informatics and decision making

authors： Kuchinke W,Krauth C,Bergmann R,Karakoyun T,Woollard A,Schluender I,Braasch B,Eckert M,Ohmann C

更新日期：2016-07-07 00:00:00