Continuance compliance of privacy policy of electronic medical records: the roles of both motivation and habit.

abstract：BACKGROUND:CDSS (computerized decision support system) for medical diagnostics have been studied for long. This study was undertaken to investigate how different preferences of Learning Styles (LS) of psychiatrists might affect acceptance, use and perceived usefulness of a CDSS for diagnostics in psychiatry. METHODS:4...

journal_title：BMC medical informatics and decision making

authors： Bergman LG,Fors UG

更新日期：2005-01-07 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:Electronic patient portals are increasingly being implemented, also in (haemato) oncology. However, portal usage is low and depends on user and provider engagement. We explored wishes, expectations and thoughts of patients with a haematologic malignancy and their physicians with regard to the electronic pati...

journal_title：BMC medical informatics and decision making

authors： Geerts PAF,van der Weijden T,Loeffen PGM,Janssen LEF,Almekinders C,Wienhold TA,Bos GMJ

更新日期：2019-07-11 00:00:00

abstract：BACKGROUND:Applying evidence is one of the most challenging steps of evidence-based clinical practice. Healthcare professionals have difficulty interpreting evidence and translating it to patients. Decision boxes are summaries of the most important benefits and harms of diagnostic, therapeutic, and preventive health in...

journal_title：BMC medical informatics and decision making

authors： Giguere A,Legare F,Grad R,Pluye P,Rousseau F,Haynes RB,Cauchon M,Labrecque M

更新日期：2011-03-09 00:00:00

abstract：BACKGROUND:Identifying subtypes of complex diseases such as cancer is the very first step toward developing highly customized therapeutics on such diseases, as their origins significantly vary even with similar physiological characteristics. There have been many studies to recognize subtypes of various cancer based on ...

journal_title：BMC medical informatics and decision making

authors： Jung S

更新日期：2016-07-18 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:Increased digitalization of healthcare comes along with the cost of cybercrime proliferation. This results to patients' and healthcare providers' skepticism to adopt Health Information Technologies (HIT). In Europe, this shortcoming hampers efficient cross-border health data exchange, which requires a holist...

journal_title：BMC medical informatics and decision making

authors： Natsiavas P,Rasmussen J,Voss-Knude M,Votis Κ,Coppolino L,Campegiani P,Cano I,Marí D,Faiella G,Clemente F,Nalin M,Grivas E,Stan O,Gelenbe E,Dumortier J,Petersen J,Tzovaras D,Romano L,Komnios I,Koutkias V

更新日期：2018-10-16 00:00:00

abstract：BACKGROUND:Health Information Organizations (HIOs) are third party organizations that facilitate electronic health information exchange (HIE) between providers in a geographic area. Despite benefits from HIE, HIOs have struggled to form and subsequently gain broad provider participation. We sought to assess whether mar...

journal_title：BMC medical informatics and decision making

authors： Lin SC,Adler-Milstein J

更新日期：2018-05-08 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: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：:In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10-12, 2018 in Los Angeles, California, USA, and then briefly introduce the six research articles included in this supplement issue. At ICIBM 2018, a special theme of Medical I...

journal_title：BMC medical informatics and decision making

authors： Zhang Y,Tao C,Gong Y,Wang K,Zhao Z

更新日期：2019-01-31 00:00:00

abstract：BACKGROUND:Cancer-related fatigue is a distressing symptom experienced by many after cancer treatment. An exploratory randomised controlled trial was conducted to test proof of concept of RESTORE: a web-based tool to enhance self-efficacy to manage cancer-related fatigue. This paper reports findings from a qualitative ...

journal_title：BMC medical informatics and decision making

authors： Myall M,May CR,Grimmett C,May CM,Calman L,Richardson A,Foster CL

更新日期：2015-11-14 00:00:00

abstract：BACKGROUND:Patient-reported Outcomes (PROs) capturing e.g., quality of life, fatigue, depression, medication side-effects or disease symptoms, have become important outcome parameters in medical research and daily clinical practice. Electronic PRO data capture (ePRO) with software packages to administer questionnaires,...

journal_title：BMC medical informatics and decision making

authors： Holzner B,Giesinger JM,Pinggera J,Zugal S,Schöpf F,Oberguggenberger AS,Gamper EM,Zabernigg A,Weber B,Rumpold G

更新日期：2012-11-09 00:00:00

abstract：BACKGROUND:The TISS standard is a set of mandatory forms and electronic messages for healthcare authorization and claim submissions among healthcare plans and providers in Brazil. It is not based on formal models as the new generation of health informatics standards suggests. The objective of this paper is to model the...

journal_title：BMC medical informatics and decision making

authors： Dias RD,Cook TW,Freire SM

更新日期：2011-10-12 00:00:00

abstract：BACKGROUND:Biofuels produced from biomass are considered to be promising sustainable alternatives to fossil fuels. The conversion of lignocellulose into fermentable sugars for biofuels production requires the use of enzyme cocktails that can efficiently and economically hydrolyze lignocellulosic biomass. As many fungi ...

journal_title：BMC medical informatics and decision making

authors： Meurs MJ,Murphy C,Morgenstern I,Butler G,Powlowski J,Tsang A,Witte R

更新日期：2012-04-30 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:Geriatric patients frequently undergo emergency general surgery and accrue a greater risk of postoperative complications and fatal outcomes than the general population. It is highly relevant to develop the most appropriate care measures and to guide patient-centered decision-making around end-of-life care. P...

journal_title：BMC medical informatics and decision making

authors： Cao Y,Bass GA,Ahl R,Pourlotfi A,Geijer H,Montgomery S,Mohseni S

更新日期：2020-05-07 00:00:00

abstract：BACKGROUND:The objective of this study was to ascertain the performance of syndromic algorithms for the early detection of patients in healthcare facilities who have potentially transmissible infectious diseases, using computerised emergency department (ED) data. METHODS:A retrospective cohort in an 810-bed University...

journal_title：BMC medical informatics and decision making

authors： Gerbier-Colomban S,Gicquel Q,Millet AL,Riou C,Grando J,Darmoni S,Potinet-Pagliaroli V,Metzger MH

更新日期：2013-09-03 00:00:00

abstract：BACKGROUND:Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal people and patients, which easily lead to misdiagnosis. In recent years, fu...

journal_title：BMC medical informatics and decision making

authors： Song H,Chen L,Gao R,Bogdan IIM,Yang J,Wang S,Dong W,Quan W,Dang W,Yu X

更新日期：2017-12-20 00:00:00

abstract：BACKGROUND:To determine patients' preferences for, and understanding of, FRAX® fracture risk conveyed through illustrations. METHODS:Drawing on examples from published studies, four illustrations of fracture risk were designed and tested for patient preference, ease of understanding, and perceived risk. We enrolled a ...

journal_title：BMC medical informatics and decision making

authors： Edmonds SW,Cram P,Lu X,Roblin DW,Wright NC,Saag KG,Solimeo SL,PAADRN Investigators.

更新日期：2014-11-25 00:00:00

abstract：BACKGROUND:Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies have exploited effective representation learning capability of deep learni...

journal_title：BMC medical informatics and decision making

authors： Yao L,Mao C,Luo Y

更新日期：2019-04-04 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:Information extraction techniques that get structured representations out of unstructured data make a large amount of clinically relevant information about patients accessible for semantic applications. These methods typically rely on standardized terminologies that guide this process. Many languages and cli...

journal_title：BMC medical informatics and decision making

authors： Toepfer M,Corovic H,Fette G,Klügl P,Störk S,Puppe F

更新日期：2015-11-12 00:00:00

abstract：BACKGROUND:Decision aids have been overall successful in improving the quality of health decision making. However, it is unclear whether the impact of the results of using decision aids also apply to older people (aged 65+). We sought to systematically review randomized controlled trials (RCTs) and clinical controlled ...

journal_title：BMC medical informatics and decision making

authors： van Weert JC,van Munster BC,Sanders R,Spijker R,Hooft L,Jansen J

更新日期：2016-04-21 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 vignettes are often used to elicit information about health conditions in research studies. This review summarizes the components of clinical vignettes describing Alzheimer's disease (AD) or other dementias. The purpose is to provide recommendations for the development of standardized vignettes that...

journal_title：BMC medical informatics and decision making

authors： Randhawa H,Jiwa A,Oremus M

更新日期：2015-07-15 00:00:00

abstract：BACKGROUND:The purpose of this study was to assess the impact of accessing primary care records on unscheduled care. Unscheduled care is typically delivered in hospital Emergency Departments. Studies published to December 2014 reporting on primary care record access during unscheduled care were retrieved. RESULTS:Twen...

journal_title：BMC medical informatics and decision making

authors： Bowden T,Coiera E

更新日期：2017-09-22 00:00:00

abstract：BACKGROUND:Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI) may help clinicians and patients manage CVDs more effectively. However, to apply AI approaches to C...

journal_title：BMC medical informatics and decision making

authors： Ahn I,Na W,Kwon O,Yang DH,Park GM,Gwon H,Kang HJ,Jeong YU,Yoo J,Kim Y,Jun TJ,Kim YH

更新日期：2021-01-28 00:00:00

abstract：BACKGROUND:The increasing use of common data elements (CDEs) in numerous research projects and clinical applications has made it imperative to create an effective classification scheme for the efficient management of these data elements. We applied high-level integrative modeling of entire clinical documents from real-...

journal_title：BMC medical informatics and decision making

authors： Kim HH,Park YR,Lee KH,Song YS,Kim JH

更新日期：2019-08-20 00:00:00

abstract：BACKGROUND:Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and rich and deep datasets. Data sharing benefits include more analyses, greater research complexity, i...

journal_title：BMC medical informatics and decision making

authors： Manhas KP,Dodd SX,Page S,Letourneau N,Adair CE,Cui X,Tough SC

更新日期：2018-11-12 00:00:00