1,425 results match your criteria BMC Medical Informatics and Decision Making [Journal]


A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data.

BMC Med Inform Decis Mak 2018 Jun 22;18(1):44. Epub 2018 Jun 22.

Partners Connected Health Innovation, Partners HealthCare, 25 New Chardon St., Suite 300, Boston, MA, 02114, USA.

Background: Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured data, such as complex healthcare data. Applying these advances to complex healthcare data has led to the development of risk prediction models to help identify patients who would benefit most from disease management programs in an effort to reduce readmissions and healthcare cost, but the results of these efforts have been varied. Read More

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Use of feedback to improve mental number line representations in primary care clinics.

BMC Med Inform Decis Mak 2018 Jun 20;18(1):40. Epub 2018 Jun 20.

Department of Medicine, Section of Rheumatology, Yale University School of Medicine, 300 Cedar Street, TAC #525, New Haven, CT, 06520, USA.

Background: As patients become more engaged in decisions regarding their medical care, they must weigh the potential benefits and harms of different treatments. Patients who are low in numeracy may be at a disadvantage when making these decisions, as low numeracy is correlated with less precise representations of numerical magnitude. The current study looks at the feasibility of improving number representations. Read More

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Time series model for forecasting the number of new admission inpatients.

BMC Med Inform Decis Mak 2018 Jun 15;18(1):39. Epub 2018 Jun 15.

Department of Information, Research Institute of Field Surgery, Daping Hospital of Army Medical University, 10 Changjiang Access Road, Chongqing, 400042, China.

Background: Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and the nonlinear autoregressive neural network (NARNN) models in the schistosomiasis and hand, foot, and mouth disease forecasting study. In this paper, our aim is to explore the application of the hybrid ARIMA-NARNN model to track the trends of the new admission inpatients, which provides a methodological basis for reducing crowding. Read More

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Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review.

BMC Med Inform Decis Mak 2018 Jun 14;18(1):38. Epub 2018 Jun 14.

Li Ka Shing Knowledge Institute of St. Michael's Hospital, 209 Victoria Street, East Building, Toronto, ON, M5B 1W8, Canada.

Background: A scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products.

Methods: Our specific research questions were (1) What social media listening platforms exist to detect adverse events related to health products, and what are their capabilities and characteristics? (2) What is the validity and reliability of data from social media for detecting these adverse events? MEDLINE, EMBASE, Cochrane Library, and relevant websites were searched from inception to May 2016. Any type of document (e. Read More

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A mathematical modelling tool for unravelling the antibody-mediated effects on CTLA-4 interactions.

BMC Med Inform Decis Mak 2018 Jun 11;18(1):37. Epub 2018 Jun 11.

Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Canada.

Background: Monoclonal antibodies blocking the Cytotoxic T-lymphocyte antigen 4 (CTLA-4) receptor have revolutionized the field of anti-cancer therapy for the last few years. The human T-cell-based immune responses are modulated by two contradicting signals. CTLA-4 provides a T cell inhibitory signal through its interaction with B7 ligands (B7-1 and B7-2), while CD28 provides a stimulatory signal when interacting with the same ligands. Read More

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Information standards for recording alcohol use in electronic health records: findings from a national consultation.

BMC Med Inform Decis Mak 2018 Jun 7;18(1):36. Epub 2018 Jun 7.

Queen Elizabeth Hospital Birmingham, Mindelsohn Way, Birmingham, B15 2TH, UK.

Background: Alcohol misuse is an important cause of premature disability and death. While clinicians are recommended to ask patients about alcohol use and provide brief interventions and specialist referral, this is poorly implemented in routine practice. We undertook a national consultation to ascertain the appropriateness of proposed standards for recording information about alcohol use in electronic health records (EHRs) in the UK and to identify potential barriers and facilitators to their implementation in practice. Read More

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A rank weighted classification for plasma proteomic profiles based on case-based reasoning.

Authors:
Amy M Kwon

BMC Med Inform Decis Mak 2018 May 31;18(1):34. Epub 2018 May 31.

Big Data Science, Division of Economics & Statistics, College of Public Policy, Korea University, Sejong, Korea.

Background: It is a challenge to precisely classify plasma proteomic profiles into their clinical status based solely on their patterns even though distinct patterns of plasma proteomic profiles are regarded as potential to be a biomarker because the profiles have large within-subject variances.

Methods: The present study proposes a rank-based weighted CBR classifier (RWCBR). We hypothesized that a CBR classifier is advantageous when individual patterns are specific and do not follow the general patterns like proteomic profiles, and robust feature weights can enhance the performance of the CBR classifier. Read More

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Combining EEG signal processing with supervised methods for Alzheimer's patients classification.

BMC Med Inform Decis Mak 2018 May 31;18(1):35. Epub 2018 May 31.

IRCCS Centro Neurolesi "Bonino-Pulejo", Contrada Casazza, SS113, Messina, 98124, Italy.

Background: Alzheimer's Disease (AD) is a neurodegenaritive disorder characterized by a progressive dementia, for which actually no cure is known. An early detection of patients affected by AD can be obtained by analyzing their electroencephalography (EEG) signals, which show a reduction of the complexity, a perturbation of the synchrony, and a slowing down of the rhythms.

Methods: In this work, we apply a procedure that exploits feature extraction and classification techniques to EEG signals, whose aim is to distinguish patient affected by AD from the ones affected by Mild Cognitive Impairment (MCI) and healthy control (HC) samples. Read More

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May 2018
2 Reads

Informing evaluation of a smartphone application for people with acquired brain injury: a stakeholder engagement study.

BMC Med Inform Decis Mak 2018 May 30;18(1):33. Epub 2018 May 30.

Clinical Psychology & Neuropsychology, Division of Psychiatry & Applied Psychology, C22, Institute of Mental Health, Jubilee Campus, University of Nottingham, Nottingham, NG7 2TU, UK.

Background: Brain in Hand is a smartphone application (app) that allows users to create structured diaries with problems and solutions, attach reminders, record task completion and has a symptom monitoring system. Brain in Hand was designed to support people with psychological problems, and encourage behaviour monitoring and change. The aim of this paper is to describe the process of exploring the barriers and enablers for the uptake and use of Brain in Hand in clinical practice, identify potential adaptations of the app for use with people with acquired brain injury (ABI), and determine whether the behaviour change wheel can be used as a model for engagement. Read More

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Algorithm-based decision support for symptom self-management among adults with Cancer: results of usability testing.

BMC Med Inform Decis Mak 2018 May 29;18(1):31. Epub 2018 May 29.

Klesis Healthcare and Department of Family Medicine, Durham, NC, 27705, USA.

Background: It is essential that cancer patients understand anticipated symptoms, how to self-manage these symptoms, and when to call their clinicians. However, patients are often ill-prepared to manage symptoms at home. Clinical decision support (CDS) is a potentially innovative way to provide information to patients where and when they need it. Read More

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Implementation of a patient-facing genomic test report in the electronic health record using a web-application interface.

BMC Med Inform Decis Mak 2018 May 30;18(1):32. Epub 2018 May 30.

Institute for Advanced Application, Geisinger, Danville, PA, USA.

Background: Genomic medicine is emerging into clinical care. Communication of genetic laboratory results to patients and providers is hampered by the complex technical nature of the laboratory reports. This can lead to confusion and misinterpretation of the results resulting in inappropriate care. Read More

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Automated extraction of Biomarker information from pathology reports.

BMC Med Inform Decis Mak 2018 May 21;18(1):29. Epub 2018 May 21.

Interdisciplinary Program for Bioengineering, Graduate School, Seoul National Universty, Seoul, Republic of Korea.

Background: Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated pathology reports.

Methods: We designed a new data model for representing biomarker knowledge. Read More

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May 2018
3 Reads

The relationship between hospital and ehr vendor market dynamics on health information organization presence and participation.

BMC Med Inform Decis Mak 2018 May 8;18(1):28. Epub 2018 May 8.

Department of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco, CA, USA.

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 market-level hospital and EHR vendor dynamics are associated with presence and level of hospital participation in HIOs. Read More

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Clinicians' perceptions of usefulness of the PubMed4Hh mobile device application for clinical decision making at the point of care: a pilot study.

BMC Med Inform Decis Mak 2018 May 8;18(1):27. Epub 2018 May 8.

National Library of Medicine, Lister Hill National Center for Biomedical Communications, B1N30L, 38A, 8600 Rockville Pike, Bethesda, MD, 20894, USA.

Background: Although evidence-based practice in healthcare has been facilitated by Internet access through wireless mobile devices, research on the effectiveness of clinical decision support for clinicians at the point of care is lacking. This study examined how evidence as abstracts and the bottom-line summaries, accessed with PubMed4Hh mobile devices, affected clinicians' decision making at the point of care.

Methods: Three iterative steps were taken to evaluate the usefulness of PubMed4Hh tools at the NIH Clinical Center. Read More

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Correction to: Developing a tablet computer-based application ('App') to measure self-reported alcohol consumption in Indigenous Australians.

BMC Med Inform Decis Mak 2018 May 2;18(1):26. Epub 2018 May 2.

University of Sydney, Discipline of Addiction Medicine, Indigenous Health and Substance Use, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building, 83-117 Missenden Road, Camperdown, NSW, 2050, Australia.

After publication of the original article [1] it was noted that the name of author, Peter Jack, was erroneously typeset in both the PDF and online formats of the manuscript as Peter Jack GradDipIndigH. Read More

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Correction to: A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts.

BMC Med Inform Decis Mak 2018 Apr 13;18(1):25. Epub 2018 Apr 13.

The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.

After publication of the original article [1] it was noted that the captions relating to Figs. 2 and 3 had been interchanged. Read More

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April 2018
1 Read

Metabolic syndrome in hypertensive women in the age of menopause: a case study on data from general practice electronic health records.

BMC Med Inform Decis Mak 2018 Apr 2;18(1):24. Epub 2018 Apr 2.

Medical University Graz, Institute for Medical Informatics/Statistic, Auenbruggerplatz 2/V, 8036, Graz, Austria.

Background: There is potential for medical research on the basis of routine data used from general practice electronic health records (GP eHRs), even in areas where there is no common GP research platform. We present a case study on menopausal women with hypertension and metabolic syndrome (MS). The aims were to explore the appropriateness of the standard definition of MS to apply to this specific, narrowly defined population group and to improve recognition of women at high CV risk. Read More

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April 2018
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An openEHR based approach to improve the semantic interoperability of clinical data registry.

BMC Med Inform Decis Mak 2018 Mar 22;18(Suppl 1):15. Epub 2018 Mar 22.

College of Biomedical Engineering and Instrument Science, Zhejiang University, Zheda Road, Hanghzou, 310027, China.

Background: Clinical data registry is designed to collect and manage information about the practices and outcomes of a patient population for improving the quality and safety of care and facilitating novel researches. Semantic interoperability is a challenge when integrating the data from more than one clinical data registry. The openEHR approach can represent the information and knowledge semantics by multi-level modeling, and it advocates the use of collaborative modeling to facilitate reusing existing archetypes with consistent semantics so as to be a potential solution to improve the semantic interoperability. Read More

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March 2018
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Leveraging text skeleton for de-identification of electronic medical records.

BMC Med Inform Decis Mak 2018 Mar 22;18(Suppl 1):18. Epub 2018 Mar 22.

School of Information Engineering, Zhengzhou University, Science Avenue, Zhengzhou, Henan, 450001, China.

Background: De-identification is the first step to use these records for data processing or further medical investigations in electronic medical records. Consequently, a reliable automated de-identification system would be of high value.

Methods: In this paper, a method of combining text skeleton and recurrent neural network is proposed to solve the problem of de-identification. Read More

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March 2018
1 Read

A bibliometric analysis of natural language processing in medical research.

BMC Med Inform Decis Mak 2018 Mar 22;18(Suppl 1):14. Epub 2018 Mar 22.

School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China.

Background: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great significance to conduct a deep analysis to understand the recent development of NLP-empowered medical research field. Read More

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March 2018
2 Reads

Heterogeneous network propagation for herb target identification.

BMC Med Inform Decis Mak 2018 Mar 22;18(Suppl 1):17. Epub 2018 Mar 22.

School of Computer and Information Technology and Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, 100044, China.

Background: Identifying targets of herbs is a primary step for investigating pharmacological mechanisms of herbal drugs in Traditional Chinese medicine (TCM). Experimental targets identification of herbs is a difficult and time-consuming work. Computational method for identifying herb targets is an efficient approach. Read More

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March 2018
1 Read

Causal risk factor discovery for severe acute kidney injury using electronic health records.

BMC Med Inform Decis Mak 2018 Mar 22;18(Suppl 1):13. Epub 2018 Mar 22.

Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, Kansas, USA.

Background: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a common clinical event among hospitalized patients and it is associated with high morbidity and mortality. AKI is defined in three stages with stage-3 being the most severe phase which is irreversible. It is important to effectively discover the true risk factors in order to identify high-risk AKI patients and allow better targeting of tailored interventions. Read More

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March 2018
1 Read

A pattern learning-based method for temporal expression extraction and normalization from multi-lingual heterogeneous clinical texts.

BMC Med Inform Decis Mak 2018 Mar 22;18(Suppl 1):22. Epub 2018 Mar 22.

The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.

Background: Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal information extraction, few work is satisfactory for multi-lingual heterogeneous clinical texts.

Methods: A novel method called TEER is proposed for both multi-lingual temporal expression extraction and normalization from various types of narrative clinical texts including clinical data requests, clinical notes, and clinical trial summaries. Read More

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March 2018
1 Read

Qcorp: an annotated classification corpus of Chinese health questions.

BMC Med Inform Decis Mak 2018 Mar 22;18(Suppl 1):16. Epub 2018 Mar 22.

Institute of Medical Information / Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Background: Health question-answering (QA) systems have become a typical application scenario of Artificial Intelligent (AI). An annotated question corpus is prerequisite for training machines to understand health information needs of users. Thus, we aimed to develop an annotated classification corpus of Chinese health questions (Qcorp) and make it openly accessible. Read More

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March 2018
2 Reads

A mobile phone based tool to identify symptoms of common childhood diseases in Ghana: development and evaluation of the integrated clinical algorithm in a cross-sectional study.

BMC Med Inform Decis Mak 2018 Mar 27;18(1):23. Epub 2018 Mar 27.

Division of Tropical Medicine, First Department of Medicine, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.

Background: The aim of this study was the development and evaluation of an algorithm-based diagnosis-tool, applicable on mobile phones, to support guardians in providing appropriate care to sick children.

Methods: The algorithm was developed on the basis of the Integrated Management of Childhood Illness (IMCI) guidelines and evaluated at a hospital in Ghana. Two hundred and thirty-seven guardians applied the tool to assess their child's symptoms. Read More

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March 2018
1 Read

Adherence to standardized assessments through a complexity-based model for categorizing rehabilitation©: design and implementation in an acute hospital.

BMC Med Inform Decis Mak 2018 Mar 12;18(1):21. Epub 2018 Mar 12.

Physical Medicine and Rehabilitation, Clínica Alemana , Santiago, Chile.

Background: The use of measurement instruments has become a major issue in physical therapy, but their use in daily practice is rare. The aim of this paper is to describe adherence to standardized assessments by physical therapists using a complexity-based model for categorizing rehabilitation (CMCR) at the Clínica Alemana of Santiago, an acute hospital in Chile.

Methods: This retrospective cohort study used 145,968 participant records that were stored in the inpatient database between July 2011 and December 2015. Read More

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March 2018
1 Read

Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial.

BMC Med Inform Decis Mak 2018 Mar 12;18(1):20. Epub 2018 Mar 12.

Department of Public Health Sciences, Clemson University, 501 Edwards Hall, Clemson, SC, 29634-0745, USA.

Background: The frequency of head computed tomography (CT) imaging for mild head trauma patients has raised safety and cost concerns. Validated clinical decision rules exist in the published literature and on-line sources to guide medical image ordering but are often not used by emergency department (ED) clinicians. Using simulation, we explored whether the presentation of a clinical decision rule (i. Read More

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March 2018
1 Read

Traditional Chinese medicine pharmacovigilance in signal detection: decision tree-based data classification.

BMC Med Inform Decis Mak 2018 Mar 9;18(1):19. Epub 2018 Mar 9.

Jiangsu Center for ADR Monitoring, Nanjing, 210002, China.

Background: Traditional Chinese Medicine (TCM) is a style of traditional medicine informed by modern medicine but built on a foundation of more than 2500 years of Chinese medical practice. According to statistics, TCM accounts for approximately 14% of total adverse drug reaction (ADR) spontaneous reporting data in China. Because of the complexity of the components in TCM formula, which makes it essentially different from Western medicine, it is critical to determine whether ADR reports of TCM should be analyzed independently. Read More

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March 2018
6 Reads

Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review.

BMC Med Inform Decis Mak 2018 Feb 20;18(1):12. Epub 2018 Feb 20.

Program in Public Health, University of California Irvine, Irvine, CA, USA.

Background: Mobile health (mHealth) has continuously been used as a method in behavioral research to improve self-management in patients with chronic diseases. However, the evidence of its effectiveness in chronic disease management in the adult population is still lacking. We conducted a systematic review to examine the effectiveness of mHealth interventions on process measures as well as health outcomes in randomized controlled trials (RCTs) to improve chronic disease management. Read More

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February 2018
6 Reads

Presentation of laboratory test results in patient portals: influence of interface design on risk interpretation and visual search behaviour.

BMC Med Inform Decis Mak 2018 02 12;18(1):11. Epub 2018 Feb 12.

NIHR Greater Manchester Primary Care Patient Safety Translational Research Centre, The University of Manchester, Manchester, UK.

Background: Patient portals are considered valuable instruments for self-management of long term conditions, however, there are concerns over how patients might interpret and act on the clinical information they access. We hypothesized that visual cues improve patients' abilities to correctly interpret laboratory test results presented through patient portals. We also assessed, by applying eye-tracking methods, the relationship between risk interpretation and visual search behaviour. Read More

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February 2018
2 Reads

Leveraging healthcare utilization to explore outcomes from musculoskeletal disorders: methodology for defining relevant variables from a health services data repository.

BMC Med Inform Decis Mak 2018 01 31;18(1):10. Epub 2018 Jan 31.

Headquarters, U.S. Army Medical Command, Analysis & Evaluation Division, 3630 Stanley Road; Joint Base San Antonio - Fort Sam Houston, San Antonio, TX, 78234, USA.

Background: Large healthcare databases, with their ability to collect many variables from daily medical practice, greatly enable health services research. These longitudinal databases provide large cohorts and longitudinal time frames, allowing for highly pragmatic assessment of healthcare delivery. The purpose of this paper is to discuss the methodology related to the use of the United States Military Health System Data Repository (MDR) for longitudinal assessment of musculoskeletal clinical outcomes, as well as address challenges of using this data for outcomes research. Read More

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January 2018
1 Read

Combining information from a clinical data warehouse and a pharmaceutical database to generate a framework to detect comorbidities in electronic health records.

BMC Med Inform Decis Mak 2018 01 24;18(1). Epub 2018 Jan 24.

INSERM, U1099, F-35000, Rennes, France.

Background: Medical coding is used for a variety of activities, from observational studies to hospital billing. However, comorbidities tend to be under-reported by medical coders. The aim of this study was to develop an algorithm to detect comorbidities in electronic health records (EHR) by using a clinical data warehouse (CDW) and a knowledge database. Read More

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January 2018
3 Reads

Developing a tablet computer-based application ('App') to measure self-reported alcohol consumption in Indigenous Australians.

BMC Med Inform Decis Mak 2018 01 15;18(1). Epub 2018 Jan 15.

University of Sydney, Discipline of Addiction Medicine, Indigenous Health and Substance Use, NHMRC Centre of Research Excellence in Indigenous Health and Alcohol, King George V Building, 83-117 Missenden Road, Camperdown, NSW, 2050, Australia.

Background: The challenges of assessing alcohol consumption can be greater in Indigenous communities where there may be culturally distinct approaches to communication, sharing of drinking containers and episodic patterns of drinking. This paper discusses the processes used to develop a tablet computer-based application ('App') to collect a detailed assessment of drinking patterns in Indigenous Australians. The key features of the resulting App are described. Read More

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January 2018
1 Read

Functionality of hospital information systems: results from a survey of quality directors at Turkish hospitals.

BMC Med Inform Decis Mak 2018 01 12;18(1). Epub 2018 Jan 12.

Center for Applied Pediatric Quality Analytics, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA.

Background: We aimed to determine availability of core Hospital Information Systems (HIS) functions implemented in Turkish hospitals and the perceived importance of these functions on quality and patient safety.

Methods: We surveyed quality directors (QDs) at civilian hospitals in the nation of Turkey. Data were collected via web survey using an instrument with 50 items describing core functionality of HIS. Read More

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January 2018
3 Reads

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

BMC Med Inform Decis Mak 2018 01 12;18(1). Epub 2018 Jan 12.

Federal Institute of Alagoas, R. Prof. Domingos Correia, 1207, Ouro Preto, Alagoas, 57300-010, Brazil.

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) application (app) that aims to assist the early diagnosis and self-monitoring of the disease progression. Read More

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January 2018
4 Reads

Healthcare information systems: the cognitive challenge.

BMC Med Inform Decis Mak 2018 01 11;18(1). Epub 2018 Jan 11.

Department of Anaesthesia, The Northern Hospital, 185 Cooper St, Epping, VIC, 3076, Australia.

Background: Healthcare work is, to a considerable extent, cognitive. Subsequently, the analysis and the design of supporting technology must be sensitive to the cognitive and adaptive demands of the work and to the cognitive strategies employed by healthcare practitioners. Despite the vital role that cognition plays in healthcare work, current technocentric design approaches for healthcare technology do not account for it, failing to observe it during analysis and failing to develop support for it during design. Read More

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January 2018
2 Reads

The readiness of hospital pharmacists in Kuwait to practise evidence-based medicine: a cross-sectional study.

BMC Med Inform Decis Mak 2018 01 11;18(1). Epub 2018 Jan 11.

Faculty of Medicine, Kuwait University, PO Box 24923, Safat 13110, Al-Jabriya, Kuwait.

Background: The evolving role of pharmacists in providing pharmaceutical care, as part of the healthcare team, challenges them to acquire up-to-date knowledge of medicines to make the best clinical decisions. The volume of medical literature is on the increase, and it is important to utilise these resources to optimise patients' therapeutic outcomes. This study aimed at assessing the readiness of government hospital pharmacists in practising evidence-based medicine (EBM) in Kuwait in regards to their attitude, knowledge and skills, as well as the perceived barriers and facilitators. Read More

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January 2018
1 Read

A pre-post study testing a lung cancer screening decision aid in primary care.

BMC Med Inform Decis Mak 2018 01 12;18(1). Epub 2018 Jan 12.

Department of Medicine, Dell Medical School, The University of Texas at Austin, 1912 Speedway, Campus Mail Code D2000, Austin, TX, 78712, USA.

Background: The United States Preventive Services Task Force (USPSTF) issued recommendations for older, heavy lifetime smokers to complete annual low-dose computed tomography (LDCT) scans of the chest as screening for lung cancer. The USPSTF recommends and the Centers for Medicare and Medicaid Services require shared decision making using a decision aid for lung cancer screening with annual LDCT. Little is known about how decision aids affect screening knowledge, preferences, and behavior. Read More

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January 2018
1 Read

Analyzing hidden populations online: topic, emotion, and social network of HIV-related users in the largest Chinese online community.

Authors:
Chuchu Liu Xin Lu

BMC Med Inform Decis Mak 2018 01 5;18(1). Epub 2018 Jan 5.

College of Information System and Management, National University of Defense Technology, Changsha, 410073, China.

Background: Traditional survey methods are limited in the study of hidden populations due to the hard to access properties, including lack of a sampling frame, sensitivity issue, reporting error, small sample size, etc. The rapid increase of online communities, of which members interact with others via the Internet, have generated large amounts of data, offering new opportunities for understanding hidden populations with unprecedented sample sizes and richness of information. In this study, we try to understand the multidimensional characteristics of a hidden population by analyzing the massive data generated in the online community. Read More

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January 2018
1 Read

Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital.

BMC Med Inform Decis Mak 2018 01 4;18(1). Epub 2018 Jan 4.

Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Rd, Sydney, NSW, 2109, Australia.

Background: The identification of patients at high risk of unplanned readmission is an important component of discharge planning strategies aimed at preventing unwanted returns to hospital. The aim of this study was to investigate the factors associated with unplanned readmission in a Sydney hospital. We developed and compared validated readmission risk scores using routinely collected hospital data to predict 7-day, 30-day and 60-day all-cause unplanned readmission. Read More

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January 2018
3 Reads

Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes.

BMC Med Inform Decis Mak 2017 12 20;17(Suppl 3):173. Epub 2017 Dec 20.

Information Technologies Institute, Centre for Research and Technology - Hellas (CERTH), Thessaloniki, Greece.

Background: Chronic obstructive pulmonary disease (COPD) and asthma are considered as the two most widespread obstructive lung diseases, whereas they affect more than 500 million people worldwide. Unfortunately, the requirement for detailed geometric models of the lungs in combination with the increased computational resources needed for the simulation of the breathing did not allow great progress to be made in the past for the better understanding of inflammatory diseases of the airways through detailed modelling approaches. In this context, computational fluid dynamics (CFD) simulations accompanied by fluid particle tracing (FPT) analysis of the inhaled ambient particles are deemed critical for lung function assessment. Read More

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December 2017
5 Reads

Surface structure feature matching algorithm for cardiac motion estimation.

BMC Med Inform Decis Mak 2017 12 20;17(Suppl 3):172. Epub 2017 Dec 20.

College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China.

Background: Cardiac diseases represent the leading cause of sudden death worldwide. During the development of cardiac diseases, the left ventricle (LV) changes obviously in structure and function. LV motion estimation plays an important role for diagnosis and treatment of cardiac diseases. Read More

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December 2017
4 Reads

Subject-independent emotion recognition based on physiological signals: a three-stage decision method.

BMC Med Inform Decis Mak 2017 12 20;17(Suppl 3):167. Epub 2017 Dec 20.

The Third People's Hospital of Tianshui, Tianshui, 741020, China.

Background: Collaboration between humans and computers has become pervasive and ubiquitous, however current computer systems are limited in that they fail to address the emotional component. An accurate understanding of human emotions is necessary for these computers to trigger proper feedback. Among multiple emotional channels, physiological signals are synchronous with emotional responses; therefore, analyzing physiological changes is a recognized way to estimate human emotions. Read More

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December 2017
4 Reads

A multiple distributed representation method based on neural network for biomedical event extraction.

BMC Med Inform Decis Mak 2017 12 20;17(Suppl 3):171. Epub 2017 Dec 20.

School of Computer Science and Technology, Dalian University of Technology, Dalian, China.

Background: Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be considered as classification problems. However, traditional state-of-the-art methods are based on support vector machine (SVM) with massive manually designed one-hot represented features, which require enormous work but lack semantic relation among words. Read More

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December 2017
6 Reads

Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM.

BMC Med Inform Decis Mak 2017 12 20;17(Suppl 3):166. Epub 2017 Dec 20.

Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.

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, functional Near-Infrared Spectroscopy (fNIRS) has been widely used in clinical diagnosis, it can get the hemoglobin concentration through the variation of optical intensity. Read More

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December 2017
4 Reads

Disparities in the use of mobile phone for seeking childbirth services among women in the urban areas: Bangladesh Urban Health Survey.

BMC Med Inform Decis Mak 2017 12 29;17(1):182. Epub 2017 Dec 29.

Faculty of Social Sciences, School of International Development and Global Studies, University of Ottawa, Ottawa, Canada.

Background: In Bangladesh, similar to its other South Asian counterparts, shortage of health workers along with inadequate infrastructure constitute some of the major obstacles for the equitable provision of reproductive healthcare services, particularly among the marginalized and underserved neighbourhoods. However, given the rapidly expanding broadband communication and mobile phone market in the country, the application of eHealth and mHealth technologies offer a window of opportunities to minimise the impact of socioeconomic barriers and promote the utilization of maternal healthcare services thereby. In the present study we aimed to investigate 1) the prevalence of usage of mobile phones for seeking childbirth services, 2) neighbourhood and socioeconomic disparities in the use, and 3) association between using mobile phones and the uptake of postnatal care among mothers and neonates. Read More

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December 2017
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Advancing beyond the system: telemedicine nurses' clinical reasoning using a computerised decision support system for patients with COPD - an ethnographic study.

BMC Med Inform Decis Mak 2017 12 28;17(1):181. Epub 2017 Dec 28.

Centre for Care Research, Southern Norway, Department of Health and Nursing Sciences, Faculty of Health and Sport Sciences, University of Agder, Post box 422, 4604, Kristiansand, Norway.

Background: Telemedicine is changing traditional nursing care, and entails nurses performing advanced and complex care within a new clinical environment, and monitoring patients at a distance. Telemedicine practice requires complex disease management, advocating that the nurses' reasoning and decision-making processes are supported. Computerised decision support systems are being used increasingly to assist reasoning and decision-making in different situations. Read More

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December 2017
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Exploring factors associated with the uneven utilization of telemedicine in Norway: a mixed methods study.

BMC Med Inform Decis Mak 2017 12 28;17(1):180. Epub 2017 Dec 28.

Norwegian Centre for E-health Research, University Hospital of North Norway, P.O. Box 35, 9038, Tromso, Norway.

Background: Norway has a long history of using telemedicine, especially for geographical reasons. Despite the availability of promising telemedicine applications and the implementation of national initiatives and policies, the sustainability and scaling-up of telemedicine in the health system is still far from accomplished. The main objective of this study was to explore and identify the multi-level (micro, meso and macro) factors affecting telemedicine utilization in Norway. Read More

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December 2017
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Multiple constraints compromise decision-making about implantable medical devices for individual patients: qualitative interviews with physicians.

BMC Med Inform Decis Mak 2017 12 22;17(1):178. Epub 2017 Dec 22.

University Health Network, Toronto, Canada.

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 available options.

Methods: A descriptive qualitative approach was used. Read More

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December 2017
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