Refining a brief decision aid in stable CAD: cognitive interviews.

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: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:Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive and apply a new scheme for using administrative data to identify the presence of chronic conditions ...

journal_title：BMC medical informatics and decision making

authors： Tonelli M,Wiebe N,Fortin M,Guthrie B,Hemmelgarn BR,James MT,Klarenbach SW,Lewanczuk R,Manns BJ,Ronksley P,Sargious P,Straus S,Quan H,Alberta Kidney Disease Network.

更新日期：2015-04-17 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:National authorities have to follow the evolution of diabetes to implement public health policies. An algorithm was developed to identify patients with treated type 2 diabetes and estimate its annual prevalence in Luxembourg using health insurance claims when no diagnosis code is available. METHODS:The DIAB...

journal_title：BMC medical informatics and decision making

authors： Renard LM,Bocquet V,Vidal-Trecan G,Lair ML,Couffignal S,Blum-Boisgard C

更新日期：2011-04-14 00:00:00

abstract：BACKGROUND:Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been limited due to uncertainty about their performance when applied to new ...

journal_title：BMC medical informatics and decision making

authors： Hartman T,Howell MD,Dean J,Hoory S,Slyper R,Laish I,Gilon O,Vainstein D,Corrado G,Chou K,Po MJ,Williams J,Ellis S,Bee G,Hassidim A,Amira R,Beryozkin G,Szpektor I,Matias Y

更新日期：2020-01-30 00:00:00

abstract：BACKGROUND:Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes challenging due to their narrative format. In this context, we aimed to compare the automatic extract...

journal_title：BMC medical informatics and decision making

authors： Reátegui R,Ratté S

更新日期：2018-09-14 00:00:00

abstract：BACKGROUND:Recently, claim-data-based comorbidity-adjusted methods such as the Charlson index and the Elixhauser comorbidity measures have been widely used among researchers. At the same time, there have been an increasing number of attempts to improve the predictability of comorbidity-adjusted models. We tried to impr...

journal_title：BMC medical informatics and decision making

authors： Bang JH,Hwang SH,Lee EJ,Kim Y

更新日期：2013-11-20 00:00:00

abstract：BACKGROUND:User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to compare its functional features with traditional film-based systems. METHODS:This study was conducted i...

journal_title：BMC medical informatics and decision making

authors： Abbasi R,Sadeqi Jabali M,Khajouei R,Tadayon H

更新日期：2020-08-05 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:Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information. A common practice for the privacy-preserving data publishing is to anonymize the data before publishing, and thus satisfy privacy models such as k-an...

journal_title：BMC medical informatics and decision making

authors： Lee H,Kim S,Kim JW,Chung YD

更新日期：2017-07-11 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: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: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:When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinity of the cardiac arre...

journal_title：BMC medical informatics and decision making

authors： Rao G,Choudhury S,Lingras P,Savage D,Mago V

更新日期：2020-12-30 00:00:00

abstract：BACKGROUND:The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradication. In many low-middle-income-countries (LMICs), aggregate HIV data reporting is done through the Di...

journal_title：BMC medical informatics and decision making

authors： Gesicho MB,Were MC,Babic A

更新日期：2021-01-06 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: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:Electronic health records provide access to an unprecedented amount of clinical data for research that can accelerate the development of effective medical practices. However it is important to protect patient confidentiality, as many medical conditions are stigmatized and disclosure could result in personal ...

journal_title：BMC medical informatics and decision making

authors： Morse RE,Nadkarni P,Schoenfeld DA,Finkelstein DM

更新日期：2011-11-10 00:00:00

abstract：BACKGROUND:Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of clinical texts, resulting in an improved quality of health-related data analysis. Driven by the 201...

journal_title：BMC medical informatics and decision making

authors： Zhang Z,Zhou T,Zhang Y,Pang Y

更新日期：2019-04-09 00:00:00

abstract：BACKGROUND:Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making. This has negatively influenced the health service delivery and uptak...

journal_title：BMC medical informatics and decision making

authors： Nguefack-Tsague G,Tamfon BB,Ngnie-Teta I,Ngoufack MN,Keugoung B,Bataliack SM,Bilounga Ndongo C

更新日期：2020-12-17 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:We developed Supportive care Prioritization, Assessment and Recommendations for Kids (SPARK), a web-based application designed to facilitate symptom screening by children receiving cancer treatments and access to supportive care clinical practice guidelines primarily by healthcare providers. The objective wa...

journal_title：BMC medical informatics and decision making

authors： Cook S,Vettese E,Soman D,Hyslop S,Kuczynski S,Spiegler B,Davis H,Duong N,Ou Wai S,Golabek R,Golabek P,Antoszek-Rallo A,Schechter T,Lee Dupuis L,Sung L

更新日期：2019-01-10 00:00:00

abstract：:In this editorial, we first summarize the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018) held on December 3, 2018 in conjunction with the 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018) in Madrid, Spain, and then briefly introduce five research articles i...

journal_title：BMC medical informatics and decision making

authors： He Z,Bian J,Tao C,Zhang R

更新日期：2019-08-08 00:00:00

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:Evaluation is a challenging but necessary part of the development cycle of clinical information systems like the electronic medical records (EMR) system. It is believed that such evaluations should include multiple perspectives, be comparative and employ both qualitative and quantitative methods. Self-admini...

journal_title：BMC medical informatics and decision making

authors： Laerum H,Faxvaag A

更新日期：2004-02-09 00:00:00

abstract：BACKGROUND:Cardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with CVD prevention. Predicting future CVH levels may help providers better manage patients' CVH. We hypothesized that CVH measures can be predicted based on previous measure...

journal_title：BMC medical informatics and decision making

authors： Guo A,Beheshti R,Khan YM,Langabeer JR 2nd,Foraker RE

更新日期：2021-01-06 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

abstract：BACKGROUND:Simulation applications on operations management in hospitals are frequently published and claim to support decision-making on operations management subjects. However, the reported implementation rates of recommendations are low and the actual impact of the changes recommended by the modeler has hardly been ...

journal_title：BMC medical informatics and decision making

authors： van Lent WA,Vanberkel P,van Harten WH

更新日期：2012-03-14 00:00:00

abstract：BACKGROUND:Adjuvant! Online ( http://www.adjuvantonline.com) is an Internet-based software program that allows clinicians to make predictions about the benefits of adjuvant therapy and 10-year survival probability for early-stage breast cancer patients. This model has been validated in Western countries such as the Uni...

journal_title：BMC medical informatics and decision making

authors： Yao-Lung K,Dar-Ren C,Tsai-Wang C

更新日期：2012-09-17 00:00:00