HIS-based electronic documentation can significantly reduce the time from biopsy to final report for prostate tumours and supports quality management as well as clinical research.


BACKGROUND:Timely and accurate information is important to guide the medical treatment process. We developed, implemented and assessed an order-entry system to support documentation of prostate histologies involving urologists, pathologists and physicians in private practice. METHODS:We designed electronic forms for histological prostate biopsy reports in our hospital information system (HIS). These forms are created by urologists and sent electronically to pathologists. Pathological findings are entered into the system and sent back to the urologists. We assessed time from biopsy to final report (TBF) and compared pre-implementation phase (paper-based forms) and post-implementation phase. In addition we analysed completeness of the electronic data. RESULTS:We compared 87 paper-based with 86 electronic cases. Using electronic forms within the HIS decreases time span from biopsy to final report by more than one day per patient (p < 0.0001). Beyond the optimized workflow we observed a good acceptance because physicians were already familiar with the HIS. The possibility to use these routine data for quality management and research purposes is an additional important advantage of the electronic system. CONCLUSION:Electronic documentation can significantly reduce the time from biopsy to final report of prostate biopsy results and generates a reliable basis for quality management and research purposes.


Breil B,Semjonow A,Dugas M




Has Abstract


2009-01-20 00:00:00










  • Surveillance of dengue vectors using spatio-temporal Bayesian modeling.

    abstract:BACKGROUND:At present, dengue control focuses on reducing the density of the primary vector for the disease, Aedes aegypti, which is the only vulnerable link in the chain of transmission. The use of new approaches for dengue entomological surveillance is extremely important, since present methods are inefficient. With ...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: C Costa AC,Codeço CT,Honório NA,Pereira GR,N Pinheiro CF,Nobre AA

    更新日期:2015-11-13 00:00:00

  • Dynamic prediction of hospital admission with medical claim data.

    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

    pub_type: 杂志文章


    authors: Yang T,Yang Y,Jia Y,Li X

    更新日期:2019-01-31 00:00:00

  • Quantile-based fecal hemoglobin concentration for assessing colorectal neoplasms with 1,263,717 Taiwanese screenees.

    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

    pub_type: 杂志文章


    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

  • A clustering approach for detecting implausible observation values in electronic health records data.

    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

    pub_type: 杂志文章


    authors: Estiri H,Klann JG,Murphy SN

    更新日期:2019-07-23 00:00:00

  • Design and evaluation of a mobile application to assist the self-monitoring of the chronic kidney disease in developing countries.

    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

    pub_type: 杂志文章


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

    更新日期:2018-01-12 00:00:00

  • Clinical records anonymisation and text extraction (CRATE): an open-source software system.

    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

    pub_type: 杂志文章,评审


    authors: Cardinal RN

    更新日期:2017-04-26 00:00:00

  • Considering patient safety in autonomous e-mental health systems - detecting risk situations and referring patients back to human care.

    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

    pub_type: 杂志文章


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

    更新日期:2019-03-18 00:00:00

  • AliClu - Temporal sequence alignment for clustering longitudinal clinical data.

    abstract:BACKGROUND:Patient stratification is a critical task in clinical decision making since it can allow physicians to choose treatments in a personalized way. Given the increasing availability of electronic medical records (EMRs) with longitudinal data, one crucial problem is how to efficiently cluster the patients based o...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Rama K,Canhão H,Carvalho AM,Vinga S

    更新日期:2019-12-30 00:00:00

  • A machine learning framework for accurately recognizing circular RNAs for clinical decision-supporting.

    abstract:BACKGROUND:Circular RNAs (circRNAs) are those RNA molecules that lack the poly (A) tails, which present the closed-loop structure. Recent studies emphasized that some circRNAs imply different functions from canonical transcripts, and further associated with complex diseases. Several computational methods have been deve...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Wang Y,Zhang X,Wang T,Xing J,Wu Z,Li W,Wang J

    更新日期:2020-07-09 00:00:00

  • An app for supporting older people receiving home care - usage, aspects of health and health literacy: a quasi-experimental study.

    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

    pub_type: 杂志文章


    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

  • SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest.

    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

    pub_type: 杂志文章


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

    更新日期:2020-12-30 00:00:00

  • Scoping review of toolkits as a knowledge translation strategy in health.

    abstract:BACKGROUND:Significant resources are invested in the production of research knowledge with the ultimate objective of integrating research evidence into practice. Toolkits are becoming increasingly popular as a knowledge translation (KT) strategy for disseminating health information, to build awareness, inform, and chan...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章,评审


    authors: Barac R,Stein S,Bruce B,Barwick M

    更新日期:2014-12-24 00:00:00

  • Process evaluation of discharge planning implementation in healthcare using normalization process theory.

    abstract:BACKGROUND:Discharge planning is a care process that aims to secure the transfer of care for the patient at transition from home to the hospital and back home. Information exchange and collaboration between care providers are essential, but deficits are common. A wide range of initiatives to improve the discharge plann...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Nordmark S,Zingmark K,Lindberg I

    更新日期:2016-04-27 00:00:00

  • Clinical MetaData ontology: a simple classification scheme for data elements of clinical data based on semantics.

    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

    pub_type: 杂志文章


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

    更新日期:2019-08-20 00:00:00

  • Development and pilot feasibility study of a health information technology tool to calculate mortality risk for patients with asymptomatic carotid stenosis: the Carotid Risk Assessment Tool (CARAT).

    abstract:BACKGROUND:Patients with no history of stroke but with stenosis of the carotid arteries can reduce the risk of future stroke with surgery or stenting. At present, a physicians' ability to recommend optimal treatments based on an individual's risk profile requires estimating the likelihood that a patient will have a poo...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Faerber AE,Horvath R,Stillman C,O'Connell ML,Hamilton AL,Newhall KA,Likosky DS,Goodney PP

    更新日期:2015-03-24 00:00:00

  • The effect of model selection on cost-effectiveness research: a comparison of kidney function-based microsimulation and disease grade-based microsimulation in chronic kidney disease modeling.

    abstract:BACKGROUND:Cost effectiveness research is emerging in the chronic kidney disease (CKD) research field. Especially, an individual-level state transition model (microsimulation) is widely used for these researches. Some researchers set CKD grades as discrete health states, and the transition probabilities between these s...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Hiragi S,Tamura H,Goto R,Kuroda T

    更新日期:2018-11-09 00:00:00

  • Perception of healthcare workers on mobile app-based clinical guideline for the detection and treatment of mental health problems in primary care: a qualitative study in Nepal.

    abstract:BACKGROUND:In recent years, a significant change has taken place in the health care delivery systems due to the availability of smartphones and mobile software applications. The use of mobile technology can help to reduce a number of barriers for mental health care such as providers' workload, lack of qualified personn...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Pokhrel P,Karmacharya R,Taylor Salisbury T,Carswell K,Kohrt BA,Jordans MJD,Lempp H,Thornicroft G,Luitel NP

    更新日期:2021-01-19 00:00:00

  • Evaluating predictive modeling algorithms to assess patient eligibility for clinical trials from routine data.

    abstract:BACKGROUND:The necessity to translate eligibility criteria from free text into decision rules that are compatible with data from the electronic health record (EHR) constitutes the main challenge when developing and deploying clinical trial recruitment support systems. Recruitment decisions based on case-based reasoning...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Köpcke F,Lubgan D,Fietkau R,Scholler A,Nau C,Stürzl M,Croner R,Prokosch HU,Toddenroth D

    更新日期:2013-12-09 00:00:00

  • Designing a multifaceted survivorship care plan to meet the information and communication needs of breast cancer patients and their family physicians: results of a qualitative pilot study.

    abstract:BACKGROUND:Following the completion of treatment and as they enter the follow-up phase, breast cancer patients (BCPs) often recount feeling 'lost in transition', and are left with many questions concerning how their ongoing care and monitoring for recurrence will be managed. Family physicians (FPs) also frequently repo...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Haq R,Heus L,Baker NA,Dastur D,Leung FH,Leung E,Li B,Vu K,Parsons JA

    更新日期:2013-07-25 00:00:00

  • A markup language for electrocardiogram data acquisition and analysis (ecgML).

    abstract:BACKGROUND:The storage and distribution of electrocardiogram data is based on different formats. There is a need to promote the development of standards for their exchange and analysis. Such models should be platform-/ system- and application-independent, flexible and open to every member of the scientific community. ...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Wang H,Azuaje F,Jung B,Black N

    更新日期:2003-05-07 00:00:00

  • Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition.

    abstract:BACKGROUND:This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clinical entities in a sentence are usually separated from each other, and the textual descriptions in cl...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Lee W,Choi J

    更新日期:2019-07-15 00:00:00

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

    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

    pub_type: 杂志文章


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

    更新日期:2018-12-18 00:00:00

  • What information is used in treatment decision aids? A systematic review of the types of evidence populating health decision aids.

    abstract:BACKGROUND:Patient decision aids (DAs) are support tools designed to provide patients with relevant information to help them make informed decisions about their healthcare. While DAs can be effective in improving patient knowledge and decision quality, it is unknown what types of information and evidence are used to po...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章,评审


    authors: Clifford AM,Ryan J,Walsh C,McCurtin A

    更新日期:2017-02-23 00:00:00

  • Application of biomedical informatics to chronic pediatric diseases: a systematic review.

    abstract:BACKGROUND:Chronic diseases affect millions of children worldwide leading to substantial disease burden to the children and their families as well as escalating health care costs. The increasing trend in the prevalence of complex pediatric chronic diseases requires innovative and optimal delivery of care. Biomedical in...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章,评审


    authors: Moeinedin F,Moineddin R,Jadad AR,Hamid JS,To T,Beyene J

    更新日期:2009-05-05 00:00:00

  • A method for managing re-identification risk from small geographic areas in Canada.

    abstract:BACKGROUND:A common disclosure control practice for health datasets is to identify small geographic areas and either suppress records from these small areas or aggregate them into larger ones. A recent study provided a method for deciding when an area is too small based on the uniqueness criterion. The uniqueness crite...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: El Emam K,Brown A,AbdelMalik P,Neisa A,Walker M,Bottomley J,Roffey T

    更新日期:2010-04-02 00:00:00

  • Violence detection explanation via semantic roles embeddings.

    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

    pub_type: 杂志文章


    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

  • A tool for sharing annotated research data: the "Category 0" UMLS (Unified Medical Language System) vocabularies.

    abstract:BACKGROUND:Large biomedical data sets have become increasingly important resources for medical researchers. Modern biomedical data sets are annotated with standard terms to describe the data and to support data linking between databases. The largest curated listing of biomedical terms is the the National Library of Med...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章


    authors: Berman JJ

    更新日期:2003-06-16 00:00:00

  • Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.

    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

    pub_type: 杂志文章


    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

  • Accuracy validation of adjuvant! online in Taiwanese breast cancer patients--a 10-year analysis.

    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

    pub_type: 杂志文章


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

    更新日期:2012-09-17 00:00:00

  • Concordance between decision analysis and matching systematic review of randomized controlled trials in assessment of treatment comparisons: a systematic review.

    abstract:BACKGROUND:Systematic review (SR) of randomized controlled trials (RCT) is the gold standard for informing treatment choice. Decision analyses (DA) also play an important role in informing health care decisions. It is unknown how often the results of DA and matching SR of RCTs are in concordance. We assessed whether th...

    journal_title:BMC medical informatics and decision making

    pub_type: 杂志文章,评审


    authors: Mhaskar RS,Wao H,Mahony H,Kumar A,Djulbegovic B

    更新日期:2014-07-15 00:00:00