RESTORE: an exploratory trial of a web-based intervention to enhance self-management of cancer-related fatigue: findings from a qualitative process evaluation.

abstract：BACKGROUND:The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge for clinical decision making, research or billing. We present a data driven method to create a knowle...

journal_title：BMC medical informatics and decision making

authors： Séverac F,Sauleau EA,Meyer N,Lefèvre H,Nisand G,Jay N

更新日期：2015-04-15 00:00:00

abstract：BACKGROUND:The purpose of this study was to identify recommended practices for computerized clinical decision support (CDS) development and implementation and for knowledge management (KM) processes in ambulatory clinics and community hospitals using commercial or locally developed systems in the U.S. METHODS:Guided b...

journal_title：BMC medical informatics and decision making

authors： Ash JS,Sittig DF,Guappone KP,Dykstra RH,Richardson J,Wright A,Carpenter J,McMullen C,Shapiro M,Bunce A,Middleton B

更新日期：2012-02-14 00:00:00

abstract：BACKGROUND:Personal health records (PHRs) provide patients with access to personal health information (PHI) and targeted education. The use of PHRs has the potential to improve a wide range of outcomes, including empowering patients to be more active participants in their care. There are a number of widespread barriers...

journal_title：BMC medical informatics and decision making

authors： Wiljer D,Leonard KJ,Urowitz S,Apatu E,Massey C,Quartey NK,Catton P

更新日期：2010-09-01 00:00:00

abstract：BACKGROUND:Informational discontinuity can have far reaching consequences like medical errors, increased re-hospitalization rates and adverse events among others. Thus the holy grail of seamless informational continuity in healthcare has been an enigma with some nations going the digital way. Digitization in healthcare...

journal_title：BMC medical informatics and decision making

authors： Gowda NR,Kumar A,Arya SK,H V

更新日期：2020-07-28 00:00:00

abstract：BACKGROUND:The Personal Patient Profile-Prostate (P3P), a web-based decision aid, was demonstrated to reduce decisional conflict in English-speaking men with localized prostate cancer early after initial diagnosis. The purpose of this study was to explore and enhance usability and cultural appropriateness of a Spanish ...

journal_title：BMC medical informatics and decision making

authors： Berry DL,Halpenny B,Bosco JLF,Bruyere J Jr,Sanda MG

更新日期：2015-07-24 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: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:Few researchers have examined the perceptions of physicians referring cases for angiography regarding the degree to which collaboration occurs during percutaneous coronary intervention (PCI) decision-making. We sought to determine perceptions of physicians concerning their involvement in PCI decisions in cas...

journal_title：BMC medical informatics and decision making

authors： Rahilly-Tierney CR,Nash IS

更新日期：2008-06-25 00:00:00

abstract：BACKGROUND:EURIS (European Resistance Intervention Study) was launched as a multinational study in September of 2000 to identify the multitude of complex risk factors that contribute to the high carriage rate of drug resistant Streptococcus pneumoniae strains in children attending Day Care Centers in several European c...

journal_title：BMC medical informatics and decision making

authors： Silva S,Gouveia-Oliveira R,Maretzek A,Carriço J,Gudnason T,Kristinsson KG,Ekdahl K,Brito-Avô A,Tomasz A,Sanches IS,de Lencastre H,Almeida J

更新日期：2003-07-08 00:00:00

abstract：:After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...

journal_title：BMC medical informatics and decision making

authors： Ning X,Zhang C,Wang K,Zhao Z,Mathé E

更新日期：2020-04-28 00:00:00

abstract：BACKGROUND:Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised risk stratification thus improving clinical decision making. This study aims to build a risk calcul...

journal_title：BMC medical informatics and decision making

authors： Jalali A,Foley RW,Maweni RM,Murphy K,Lundon DJ,Lynch T,Power R,O'Brien F,O'Malley KJ,Galvin DJ,Durkan GC,Murphy TB,Watson RW

更新日期：2020-07-03 00:00:00

abstract：BACKGROUND:Computerized ICUs rely on software services to convey the medical condition of their patients as well as assisting the staff in taking treatment decisions. Such services are useful for following clinical guidelines quickly and accurately. However, the development of services is often time-consuming and error...

journal_title：BMC medical informatics and decision making

authors： Ongenae F,De Backere F,Steurbaut K,Colpaert K,Kerckhove W,Decruyenaere J,De Turck F

更新日期：2010-01-18 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:Methods for linking real-world healthcare data often use a latent class model, where the latent, or unknown, class is the true match status of candidate record-pairs. This commonly used model assumes that agreement patterns among multiple fields within a latent class are independent. When this assumption is ...

journal_title：BMC medical informatics and decision making

authors： Daggy JK,Xu H,Hui SL,Gamache RE,Grannis SJ

更新日期：2013-08-30 00:00:00

abstract：BACKGROUND:Percutaneous coronary intervention (PCI) is the most commonly performed treatment for coronary atherosclerosis. It is associated with a higher incidence of repeat revascularization procedures compared to coronary artery bypass grafting surgery. Recent results indicate that PCI is only cost-effective for a su...

journal_title：BMC medical informatics and decision making

authors： Pölsterl S,Singh M,Katouzian A,Navab N,Kastrati A,Ladic L,Kamen A

更新日期：2015-02-14 00:00:00

abstract：BACKGROUND:Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and synthesise the qualitative literature on barriers and facilitators to engagement and recruitment to DHI...

journal_title：BMC medical informatics and decision making

authors： O'Connor S,Hanlon P,O'Donnell CA,Garcia S,Glanville J,Mair FS

更新日期：2016-09-15 00:00:00

abstract：BACKGROUND:Identifying implausible clinical observations (e.g., laboratory test and vital sign values) in Electronic Health Record (EHR) data using rule-based procedures is challenging. Anomaly/outlier detection methods can be applied as an alternative algorithmic approach to flagging such implausible values in EHRs. ...

journal_title：BMC medical informatics and decision making

authors： Estiri H,Klann JG,Murphy SN

更新日期：2019-07-23 00:00:00

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:A large body of work in the clinical guidelines field has identified requirements for guideline systems, but there are formidable challenges in translating such requirements into production-quality systems that can be used in routine patient care. Detailed analysis of requirements from an implementation pers...

journal_title：BMC medical informatics and decision making

authors： Shah H,Allard RD,Enberg R,Krishnan G,Williams P,Nadkarni PM

更新日期：2012-03-09 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: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:Many healthcare databases have been routinely collected over the past decades, to support clinical practice and administrative services. However, their secondary use for research is often hindered by restricted governance rules. Furthermore, health research studies typically involve many participants with co...

journal_title：BMC medical informatics and decision making

authors： Almeida JR,Gini R,Roberto G,Rijnbeek P,Oliveira JL

更新日期：2019-07-02 00:00:00

abstract：BACKGROUND:In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specific aims are: (1) to develop a computerized algorithm for medication discrepancy detection between pa...

journal_title：BMC medical informatics and decision making

authors： Li Q,Spooner SA,Kaiser M,Lingren N,Robbins J,Lingren T,Tang H,Solti I,Ni Y

更新日期：2015-05-06 00:00:00

abstract：BACKGROUND:With wide applications of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS), statistical comparison of serum peptide profiles and management of patients information play ...

journal_title：BMC medical informatics and decision making

authors： Cao Y,Wang N,Ying X,Li A,Wang H,Zhang X,Li W

更新日期：2009-02-17 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: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:A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assuming we want to monitor the travel and/or activity of an AP in a community where there is a pandemi...

journal_title：BMC medical informatics and decision making

authors： Adu-Gyamfi D,Zhang F,Kwansah Ansah AK

更新日期：2020-09-29 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:Microcontact datasets gathered automatically by electronic devices have the potential augment the study of the spread of contagious disease by providing detailed representations of the study population's contact dynamics. However, the impact of data collection experimental design on the subsequent simulation...

journal_title：BMC medical informatics and decision making

authors： Hashemian M,Qian W,Stanley KG,Osgood ND

更新日期：2012-11-15 00:00:00

abstract：BACKGROUND:Computer simulation studies of the emergency department (ED) are often patient driven and consider the physician as a human resource whose primary activity is interacting directly with the patient. In many EDs, physicians supervise delegates such as residents, physician assistants and nurse practitioners eac...

journal_title：BMC medical informatics and decision making

authors： Lim ME,Worster A,Goeree R,Tarride JÉ

更新日期：2013-05-22 00:00:00