User perspectives on an electronic decision-support tool performing comprehensive medication reviews - a focus group study with physicians and nurses.

abstract：BACKGROUND:The linkage of records which refer to the same entity in separate data collections is a common requirement in public health and biomedical research. Traditionally, record linkage techniques have required that all the identifying data in which links are sought be revealed to at least one party, often a third ...

journal_title：BMC medical informatics and decision making

authors： Churches T,Christen P

更新日期：2004-06-28 00:00:00

abstract：BACKGROUND:Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violence-related injuries (V) vs. non-violence-related injuries (NV) is thus a...

journal_title：BMC medical informatics and decision making

authors： Mensa E,Colla D,Dalmasso M,Giustini M,Mamo C,Pitidis A,Radicioni DP

更新日期：2020-10-15 00:00:00

abstract：BACKGROUND:Dual processing theory of human cognition postulates that reasoning and decision-making can be described as a function of both an intuitive, experiential, affective system (system I) and/or an analytical, deliberative (system II) processing system. To date no formal descriptive model of medical decision-maki...

journal_title：BMC medical informatics and decision making

authors： Djulbegovic B,Hozo I,Beckstead J,Tsalatsanis A,Pauker SG

更新日期：2012-09-03 00:00:00

abstract：BACKGROUND:The maturity and usage of wireless technology has influenced health services, and this has raised expectations from users that healthcare services will become more affordable due to technology growth. There is increasing evidence to justify this expectation, as telehealth is becoming more and more prevalent ...

journal_title：BMC medical informatics and decision making

authors： Gururajan R,Hafeez-Baig A

更新日期：2014-12-23 00:00:00

abstract：BACKGROUND:During the last decade, there has been an increase in studies describing use of mHealth, using smartphones with apps, in the healthcare system by a variety of populations. Despite this, few interventions including apps are targeting older people receiving home care. Developing mobile technology to its full p...

journal_title：BMC medical informatics and decision making

authors： Göransson C,Wengström Y,Hälleberg-Nyman M,Langius-Eklöf A,Ziegert K,Blomberg K

更新日期：2020-09-15 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:We describe the results of cognitive interviews to refine the "Making Choices©" Decision Aid (DA) for shared decision-making (SDM) about stress testing in patients with stable coronary artery disease (CAD). METHODS:We conducted a systematic development process to design a DA consistent with International Pa...

journal_title：BMC medical informatics and decision making

authors： Kelly-Blake K,Clark S,Dontje K,Olomu A,Henry RC,Rovner DR,Rothert ML,Holmes-Rovner M

更新日期：2014-02-13 00:00:00

abstract：BACKGROUND:Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, however, most studies focused on analyzing pairwise DDIs. Recent efforts have been made to explore the di...

journal_title：BMC medical informatics and decision making

authors： Yao X,Tsang T,Sun Q,Quinney S,Zhang P,Ning X,Li L,Shen L

更新日期：2020-03-18 00:00:00

abstract：BACKGROUND:Anesthesia side effects are almost inevitable in most situations. In order to optimize the anesthetic experience from the patient's viewpoint, it makes intuitive sense to attempt to avoid the side effects that the patient fears the most. METHODS:We obtained rankings and quantitative estimates of the relativ...

journal_title：BMC medical informatics and decision making

authors： Rashiq S,Bray P

更新日期：2003-02-13 00:00:00

abstract：BACKGROUND:Information and communication technologies have become a vital infrastructural asset for use in the retention of rural health workers. However, little is known about the potential influence of ICT use, perceptions of health workers on ICT in healthcare delivery, and contribution of ICT to health care provide...

journal_title：BMC medical informatics and decision making

authors： Yagos WO,Tabo Olok G,Ovuga E

更新日期：2017-01-10 00:00:00

abstract：BACKGROUND:Congestive heart failure is one of the most common reasons those aged 65 and over are hospitalized in the United States, which has caused a considerable economic burden. The precise prediction of hospitalization caused by congestive heart failure in the near future could prevent possible hospitalization, opt...

journal_title：BMC medical informatics and decision making

authors： Yang T,Yang Y,Jia Y,Li X

更新日期：2019-01-31 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:Automated reporting of estimated glomerular filtration rate (eGFR) is a recent advance in laboratory information technology (IT) that generates a measure of kidney function with chemistry laboratory results to aid early detection of chronic kidney disease (CKD). Because accurate diagnosis of CKD is critical ...

journal_title：BMC medical informatics and decision making

authors： Hall RK,Wang V,Jackson GL,Hammill BG,Maciejewski ML,Yano EM,Svetkey LP,Patel UD

更新日期：2012-07-12 00:00:00

abstract：BACKGROUND:The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplantation, and consequently, affects mortality rates. This issue is faced by a mobile health (mHealth) ...

journal_title：BMC medical informatics and decision making

authors： Sobrinho A,da Silva LD,Perkusich A,Pinheiro ME,Cunha P

更新日期：2018-01-12 00:00:00

abstract：BACKGROUND:Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to detect risk situations and act on these appropriately. One option is sendin...

journal_title：BMC medical informatics and decision making

authors： Tielman ML,Neerincx MA,Pagliari C,Rizzo A,Brinkman WP

更新日期：2019-03-18 00:00:00

abstract：BACKGROUND:Nowadays more and more clinical guidelines for health care professionals are being developed. However, this does not automatically mean that these guidelines are actually implemented. The aim of this meta-review is twofold: firstly, to gain a better understanding of which factors affect the implementation of...

journal_title：BMC medical informatics and decision making

authors： Francke AL,Smit MC,de Veer AJ,Mistiaen P

更新日期：2008-09-12 00:00:00

abstract：BACKGROUND:Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medication event reports is ineffective and requires heavy workloads for clinici...

journal_title：BMC medical informatics and decision making

authors： Zhou S,Kang H,Yao B,Gong Y

更新日期：2018-12-07 00:00:00

abstract：BACKGROUND:Hospitals have increasingly realized that wholesale adoption of electronic medical records (EMR) may introduce differential tangible/intangible benefits to them, including improved quality-of-care, reduced medical errors, reduced costs, and allowable instant access to relevant patient information by healthca...

journal_title：BMC medical informatics and decision making

authors： Kuo KM,Chen YC,Talley PC,Huang CH

更新日期：2018-12-18 00:00:00

abstract：BACKGROUND:Healthcare and social care environments are increasingly confronted with older persons with long-term care needs. Consequently, the need for integrated and coordinated assessment systems increases. In Belgium, feasibility studies have been conducted on the implementation and use of interRAI instruments offer...

journal_title：BMC medical informatics and decision making

authors： Vanneste D,Vermeulen B,Declercq A

更新日期：2013-11-27 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:Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level hypoglycemia early alarm system to mine potential information in Continuous Glucose Monitoring (CGM...

journal_title：BMC medical informatics and decision making

authors： Yu X,Ma N,Yang T,Zhang Y,Miao Q,Tao J,Li H,Li Y,Yang Y

更新日期：2021-01-21 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:Colorectal cancer incidence and mortality have been increasing in China and as one of the most important health problems facing the nation. Adequate dissemination of correct information about colorectal cancer could help in reducing cancer-related morbidity and mortality. This study aims to assess the comple...

journal_title：BMC medical informatics and decision making

authors： Zhang S,Yang Y,Yan D,Yuan B,Jiang X,Song C

更新日期：2018-12-04 00:00:00

abstract：BACKGROUND:Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information. Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows res...

journal_title：BMC medical informatics and decision making

authors： Cardinal RN

更新日期：2017-04-26 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: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: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:Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several groups have developed algorithms for extracting smoking behaviors from cl...

journal_title：BMC medical informatics and decision making

authors： Palmer EL,Higgins J,Hassanpour S,Sargent J,Robinson CM,Doherty JA,Onega T

更新日期：2019-07-25 00:00:00

abstract：BACKGROUND:Mobile phone technology has demonstrated the potential to improve health service delivery, but there is little guidance to inform decisions about acquiring and implementing mHealth technology at scale in health systems. Using the case of community-based health services (CBS) in South Africa, we apply a frame...

journal_title：BMC medical informatics and decision making

authors： Leon N,Schneider H,Daviaud E

更新日期：2012-11-05 00:00:00

abstract：BACKGROUND:Health numeracy is an important factor in how well people make decisions based on medical risk information. However, in many countries, including Japan, numeracy studies have been limited. METHODS:To fill this gap, we evaluated health numeracy levels in a sample of Japanese adults by translating two well-kn...

journal_title：BMC medical informatics and decision making

authors： Okamoto M,Kyutoku Y,Sawada M,Clowney L,Watanabe E,Dan I,Kawamoto K

更新日期：2012-09-11 00:00:00