Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS).

abstract：BACKGROUND:Although fecal hemoglobin concentration (f-Hb) was highly associated with the risk of colorectal neoplasms, current studies on this subject are hampered by skewedness of the data and the ordinal property of f-Hb has not been well studied yet. Our aim was to develop a quantile-based method to estimate adjuste...

journal_title：BMC medical informatics and decision making

authors： Peng SM,Chiu HM,Jen HH,Hsu CY,Chen SL,Chiu SY,Yen AM,Fann JC,Lee YC,Chen HH

更新日期：2019-05-02 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: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:Fever is one of the most common symptoms of pediatric consultations and its mismanagement is a health care burden. Guidelines on fever management are incoherent and data on fever management are still missing. This study protocol describes an app-based registry to evaluate the fever management of parents. OB...

journal_title：BMC medical informatics and decision making

authors： Martin D,Wachtmeister J,Ludwigs K,Jenetzky E

更新日期：2020-10-01 00:00:00

abstract：BACKGROUND:Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is gradually growing and becoming a critical approach in many domains such as health, education, and bus...

journal_title：BMC medical informatics and decision making

authors： Alloghani M,Aljaaf A,Hussain A,Baker T,Mustafina J,Al-Jumeily D,Khalaf M

更新日期：2019-12-12 00:00:00

abstract：BACKGROUND:Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following cancer surgery, and a commonly used measure is the Charlson comorbidity index. Other measures of patient...

journal_title：BMC medical informatics and decision making

authors： Dobbins TA,Badgery-Parker T,Currow DC,Young JM

更新日期：2015-07-15 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:In the complex domain of medical decision making, reasoning under uncertainty can benefit from supporting tools. Automated decision support tools often build upon mathematical models, such as Bayesian networks. These networks require probabilities which often have to be assessed by experts in the domain of a...

journal_title：BMC medical informatics and decision making

authors： Witteman CL,Renooij S,Koele P

更新日期：2007-06-11 00:00:00

abstract：BACKGROUND:Better understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. To a greater extent than the evidence-based movement, the clinical reasoning literature asserts the importance of practitioner intuition—unconscious elements of diagno...

journal_title：BMC medical informatics and decision making

authors： Seidel BM,Campbell S,Bell E

更新日期：2015-03-21 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: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:Access to and use of digital technology are more common among people of more advantaged socioeconomic status. These differences might be due to lack of interest, not having physical access or having lower intentions to use this technology. By integrating the digital divide approach and the User Acceptance of...

journal_title：BMC medical informatics and decision making

authors： Paccoud I,Baumann M,Le Bihan E,Pétré B,Breinbauer M,Böhme P,Chauvel L,Leist AK

更新日期：2021-01-13 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: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:Using Monte Carlo simulations, we compare different methods (maximizing Youden index, maximizing mutual information, and logistic regression) for their ability to determine optimum binary cut-off thresholds for a ratio-scaled diagnostic test variable. Special attention is given to the stability and precision...

journal_title：BMC medical informatics and decision making

authors： Reibnegger G,Schrabmair W

更新日期：2014-11-25 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: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:Little research has examined how physicians choose medical devices for treating individual patients to reveal if interventions are needed to support decision-making and reduce device-associated morbidity and mortality. This study explored factors that influence choice of implantable device from among availab...

journal_title：BMC medical informatics and decision making

authors： Gagliardi AR,Ducey A,Lehoux P,Turgeon T,Kolbunik J,Ross S,Trbovich P,Easty A,Bell C,Urbach DR

更新日期：2017-12-22 00:00:00

abstract：BACKGROUND:The quantitative study of the publication output (bibliometrics) deeply influences how scientific work is perceived (bibliometric visibility). Recently, new bibliometric indices and databases have been established, which may change the visibility of disciplines, institutions and individuals. This study exami...

journal_title：BMC medical informatics and decision making

authors： Spreckelsen C,Deserno TM,Spitzer K

更新日期：2011-04-15 00:00:00

abstract：BACKGROUND:The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis. Similar to all other U.S. and Canadian cancer registries, KCR uses a data dictionary provided by t...

journal_title：BMC medical informatics and decision making

authors： Tao S,Zeng N,Hands I,Hurt-Mueller J,Durbin EB,Cui L,Zhang GQ

更新日期：2020-12-15 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: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:A large proportion of patients with knee and/or hip osteoarthritis (OA) do not meet the recommended levels of physical activity (PA). Therefore, we developed a web-based intervention that provides a tailored PA program for patients with knee and/or hip OA, entitled Join2move. The intervention incorporates co...

journal_title：BMC medical informatics and decision making

authors： Bossen D,Veenhof C,Dekker J,de Bakker D

更新日期：2013-05-28 00:00:00

abstract：BACKGROUND:This study implemented and evaluated a point-of-care, wireless Internet access using smart phones for information retrieval during daily clinical rounds and academic activities of internal medicine residents in a community hospital. We did the project to assess the feasibility of using smart phones as an alt...

journal_title：BMC medical informatics and decision making

authors： León SA,Fontelo P,Green L,Ackerman M,Liu F

更新日期：2007-02-21 00:00:00

abstract：BACKGROUND:Longevity creates increasing care needs for healthcare providers and family caregivers. Increasingly, the burden of care falls to one primary caregiver, increasing stress and reducing health outcomes. Additionally, little has been published on adults', over the age of 75, preferences in the development of he...

journal_title：BMC medical informatics and decision making

authors： Quintana Y,Crotty B,Fahy D,Lipsitz L,Davis RB,Safran C

更新日期：2018-11-20 00:00:00

abstract：BACKGROUND:The use of telemonitoring is a promising approach to optimizing outcomes in the treatment of heart failure (HF) for patients living in the community. HF telemonitoring interventions, however, have not been tested for use with individuals residing in disparity communities. METHODS:The current study describes...

journal_title：BMC medical informatics and decision making

authors： Pekmezaris R,Schwartz RM,Taylor TN,DiMarzio P,Nouryan CN,Murray L,McKenzie G,Ahern D,Castillo S,Pecinka K,Bauer L,Orona T,Makaryus AN

更新日期：2016-06-24 00:00:00

abstract：BACKGROUND:In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind of classical query modification technique that has shown to be effective in many retrieval models an...

journal_title：BMC medical informatics and decision making

authors： Pan M,Zhang Y,Zhu Q,Sun B,He T,Jiang X

更新日期：2019-12-12 00:00:00

abstract：BACKGROUND:Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors because of the subjective nature of findings and the lack of clinical and imaging biomarkers. The go...

journal_title：BMC medical informatics and decision making

authors： Stanciu A,Banciu M,Sadighi A,Marshall KA,Holland NR,Abedi V,Zand R

更新日期：2020-06-18 00:00:00

abstract：BACKGROUND:Shared decision-making (SDM) is considered a key component of high quality cancer care and may be supported by patient decision aids (PtDAs). Many patients, however, face multiple social disadvantages that may influence their ability to fully participate in SDM or to use PtDAs; additionally, these social dis...

journal_title：BMC medical informatics and decision making

authors： Enard KR,Dolan Mullen P,Kamath GR,Dixon NM,Volk RJ

更新日期：2016-06-06 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