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  1. Evidence indicates that post − stroke rehabilitation improves function, independence and quality of life. A key aspect of rehabilitation is the provision of appropriate information and feedback to the learner.

    Authors: Jack Parker, Susan Mawson, Gail Mountain, Nasrin Nasr and Huiru Zheng

    Citation: BMC Medical Informatics and Decision Making 2014 14:46

    Content type: Research article

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  2. In the age of big data in healthcare, automated comparison of medical diagnoses in large scale databases is a key issue. Our objectives were: 1) to formally define and identify cases of independence between la...

    Authors: Agathe Lamarche-Vadel, Gérard Pavillon, Albertine Aouba, Lars Age Johansson, Laurence Meyer, Eric Jougla and Grégoire Rey

    Citation: BMC Medical Informatics and Decision Making 2014 14:44

    Content type: Research article

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  3. Health information systems (HISs) hold the promise to transform health care; however, their adoption is challenged. We have developed the Clinical Adoption Meta-Model (CAMM) to help describe processes and poss...

    Authors: Morgan Price and Francis Lau

    Citation: BMC Medical Informatics and Decision Making 2014 14:43

    Content type: Correspondence

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  4. Claims data has usually been used in recent studies to identify cases of healthcare-associated infection. However, several studies have indicated that the ICD-9-CM codes might be inappropriate for identifying ...

    Authors: Tsung-Hsien Yu, Yu-Chang Hou, Kuan-Chia Lin and Kuo-Piao Chung

    Citation: BMC Medical Informatics and Decision Making 2014 14:42

    Content type: Research article

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  5. The aim of this study was to propose an analytical approach to develop high-performing predictive models for congestive heart failure (CHF) readmission using an operational dataset with incomplete records and ...

    Authors: Samir E AbdelRahman, Mingyuan Zhang, Bruce E Bray and Kensaku Kawamoto

    Citation: BMC Medical Informatics and Decision Making 2014 14:41

    Content type: Research article

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  6. Untimely, incomplete and inaccurate data are common challenges in planning, monitoring and evaluation of health sector performance, and health service delivery in many sub-Saharan African settings. We document...

    Authors: Vincent Micheal Kiberu, Joseph KB Matovu, Fredrick Makumbi, Carol Kyozira, Eddie Mukooyo and Rhoda K Wanyenze

    Citation: BMC Medical Informatics and Decision Making 2014 14:40

    Content type: Research article

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  7. Providing scalable clinical decision support (CDS) across institutions that use different electronic health record (EHR) systems has been a challenge for medical informatics researchers. The lack of commonly s...

    Authors: Nadim Anani, Rong Chen, Tiago Prazeres Moreira and Sabine Koch

    Citation: BMC Medical Informatics and Decision Making 2014 14:39

    Content type: Technical advance

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  8. We developed an algorithm for the identification of patients with type 2 diabetes and ascertainment of the date of diabetes onset for examination of the temporal relationship between diabetes and cancer using ...

    Authors: Adedayo A Onitilo, Rachel V Stankowski, Richard L Berg, Jessica M Engel, Gail M Williams and Suhail A Doi

    Citation: BMC Medical Informatics and Decision Making 2014 14:38

    Content type: Research article

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  9. Extracting cardiorespiratory signals from non-invasive and non-contacting sensor arrangements, i.e. magnetic induction sensors, is a challenging task. The respiratory and cardiac signals are mixed on top of a ...

    Authors: Jerome Foussier, Daniel Teichmann, Jing Jia, Berno Misgeld and Steffen Leonhardt

    Citation: BMC Medical Informatics and Decision Making 2014 14:37

    Content type: Technical advance

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  10. Obesity and overweight are multifactorial diseases that affect two thirds of Americans, lead to numerous health conditions and deeply strain our healthcare system. With the increasing prevalence and dangers as...

    Authors: Caryn Roth, Randi E Foraker, Philip RO Payne and Peter J Embi

    Citation: BMC Medical Informatics and Decision Making 2014 14:36

    Content type: Research article

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  11. The health sector is faced with constant changes as new approaches to tackle illnesses are unveiled through research. Information, communication and technology have greatly transformed healthcare practice the ...

    Authors: Mathew K Kipturgo, Lucy W Kivuti-Bitok, Ann K Karani and Margaret M Muiva

    Citation: BMC Medical Informatics and Decision Making 2014 14:35

    Content type: Research article

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  12. Aboriginal Australians experience significantly worse health and a higher burden of chronic disease than non-Aboriginal Australians. Electronic self-report data collection is a systematic means of collecting d...

    Authors: Natasha E Noble, Christine L Paul, Mariko L Carey, Robert W Sanson-Fisher, Stephen V Blunden, Jessica M Stewart and Katherine M Conigrave

    Citation: BMC Medical Informatics and Decision Making 2014 14:34

    Content type: Research article

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  13. Preconception care may be an efficacious tool to reduce risk factors for adverse pregnancy outcomes that are associated with lifestyles and health status before pregnancy. We conducted a web-based cohort study...

    Authors: Eleonora Agricola, Elisabetta Pandolfi, Michaela V Gonfiantini, Francesco Gesualdo, Mariateresa Romano, Emanuela Carloni, Pierpaolo Mastroiacovo and Alberto E Tozzi

    Citation: BMC Medical Informatics and Decision Making 2014 14:33

    Content type: Research article

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  14. Our study aims to assess the influence of data quality on computed Dutch hospital quality indicators, and whether colorectal cancer surgery indicators can be computed reliably based on routinely recorded data ...

    Authors: Kathrin Dentler, Ronald Cornet, Annette ten Teije, Pieter Tanis, Jean Klinkenbijl, Kristien Tytgat and Nicolette de Keizer

    Citation: BMC Medical Informatics and Decision Making 2014 14:32

    Content type: Research article

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  15. A cloud-based clinical decision support system (CDSS) was implemented to remotely provide evidence-based guideline reminders in support of preventative health. Following implementation, we measured the agreeme...

    Authors: Brian Edward Dixon, Linas Simonaitis, Susan M Perkins, Adam Wright and Blackford Middleton

    Citation: BMC Medical Informatics and Decision Making 2014 14:31

    Content type: Research article

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  16. The ever increasing volume of referrals from primary care to specialist services is putting considerable pressure on resource-constrained health services while effective communication across fragmented service...

    Authors: Matt-Mouley Bouamrane and Frances S Mair

    Citation: BMC Medical Informatics and Decision Making 2014 14:30

    Content type: Research article

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  17. Approximately one-third of those treated curatively for colorectal cancer (CRC) will experience recurrence. No evidence-based consensus exists on how best to follow patients after initial treatment to detect a...

    Authors: Johnie Rose, Knut Magne Augestad, Chung Yin Kong, Neal J Meropol, Michael W Kattan, Qingqing Hong, Xuebei An and Gregory S Cooper

    Citation: BMC Medical Informatics and Decision Making 2014 14:29

    Content type: Research article

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  18. Identification of potentially preventable readmissions is typically accomplished through manual review or automated classification. Little is known about the concordance of these methods.

    Authors: Ana H Jackson, Emily Fireman, Paul Feigenbaum, Estee Neuwirth, Patricia Kipnis and Jim Bellows

    Citation: BMC Medical Informatics and Decision Making 2014 14:28

    Content type: Research article

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  19. To investigate whether factors can be identified that significantly affect hospital length of stay from those available in an electronic patient record system, using primary total knee replacements as an examp...

    Authors: Evelene M Carter and Henry WW Potts

    Citation: BMC Medical Informatics and Decision Making 2014 14:26

    Content type: Research article

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  20. Patients are increasingly expected and asked to be involved in health care decisions. In this decision-making process, preferences for participation are important. In this systematic review we aim to provide a...

    Authors: Linda Brom, Wendy Hopmans, H Roeline W Pasman, Danielle RM Timmermans, Guy AM Widdershoven and Bregje D Onwuteaka-Philipsen

    Citation: BMC Medical Informatics and Decision Making 2014 14:25

    Content type: Research article

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  21. Ensuring that all cancer patients have access to the appropriate treatment within an appropriate time is a strategic priority in many countries. There is in particular a need to describe and analyse cancer car...

    Authors: Gautier Defossez, Alexandre Rollet, Olivier Dameron and Pierre Ingrand

    Citation: BMC Medical Informatics and Decision Making 2014 14:24

    Content type: Research article

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  22. Record linkage techniques are widely used to enable health researchers to gain event based longitudinal information for entire populations. The task of record linkage is increasingly being undertaken by specia...

    Authors: James H Boyd, Sean M Randall, Anna M Ferrante, Jacqueline K Bauer, Adrian P Brown and James B Semmens

    Citation: BMC Medical Informatics and Decision Making 2014 14:23

    Content type: Correspondence

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  23. Establishing day-case surgery as the preferred hospital admission route for all eligible patients requires adequate preoperative assessment of patients in order to quickly distinguish those who will require mi...

    Authors: Matt-Mouley Bouamrane and Frances S Mair

    Citation: BMC Medical Informatics and Decision Making 2014 14:22

    Content type: Research article

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  24. Despite the growing evidence of the benefits of physical activity (PA) in individuals with rheumatoid arthritis (RA), the majority is not physically active enough. An innovative strategy is to engage lead user...

    Authors: Åsa Revenäs, Christina H Opava and Pernilla Åsenlöf

    Citation: BMC Medical Informatics and Decision Making 2014 14:21

    Content type: Research article

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  25. Clinical decision support (CDS) has been shown to be effective in improving medical safety and quality but there is little information on how telephone triage benefits from CDS. The aim of our study was to com...

    Authors: Frederick North, Debra D Richards, Kimberly A Bremseth, Mary R Lee, Debra L Cox, Prathibha Varkey and Robert J Stroebel

    Citation: BMC Medical Informatics and Decision Making 2014 14:20

    Content type: Research article

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  26. An increasing number of older adults drive automobiles. Given that the prevalence of dementia is rising, it is necessary to address the issue of driving retirement. The purpose of this study is to evaluate how...

    Authors: John Carmody, Jan Potter, Kate Lewis, Sanjay Bhargava, Victoria Traynor and Don Iverson

    Citation: BMC Medical Informatics and Decision Making 2014 14:19

    Content type: Research article

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  27. Emerging developments in nanomedicine allow the development of genome-based technologies for non-invasive and individualised screening for diseases such as colorectal cancer. The main objective of this study w...

    Authors: Catharina GM Groothuis-Oudshoorn, Jilles M Fermont, Janine A van Til and Maarten J IJzerman

    Citation: BMC Medical Informatics and Decision Making 2014 14:18

    Content type: Research article

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  28. Visualization of Concepts in Medicine (VCM) is a compositional iconic language that aims to ease information retrieval in Electronic Health Records (EHR), clinical guidelines or other medical documents. Using ...

    Authors: Nicolas Griffon, Gaetan Kerdelhué, Lina F Soualmia, Tayeb Merabti, Julien Grosjean, Jean-Baptiste Lamy, Alain Venot, Catherine Duclos and Stefan J Darmoni

    Citation: BMC Medical Informatics and Decision Making 2014 14:17

    Content type: Research article

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  29. The Electronic Prescription Service release Two (EPS2) is a new national healthcare information and communication technology in England that aims to deliver effective prescription writing, dispensing and reimb...

    Authors: Jasmine Harvey, Anthony J Avery, Ralph Hibberd and Nicholas Barber

    Citation: BMC Medical Informatics and Decision Making 2014 14:16

    Content type: Research article

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  30. With the rapid development of “-omic” technologies, an increasing number of purported biomarkers have been identified for cancer and other diseases. The process of identifying those that are most promising and...

    Authors: Xiaohong Li, Patricia L Blount, Brian J Reid and Thomas L Vaughan

    Citation: BMC Medical Informatics and Decision Making 2014 14:15

    Content type: Correspondence

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  31. Decision aids offer promise as a practical solution to improve patient decision making about coronary heart disease (CHD) prevention medications and help patients choose medications to which they are likely to...

    Authors: Stacey L Sheridan, Lindy B Draeger, Michael P Pignone, Barbara Rimer, Shrikant I Bangdiwala, Jianwen Cai, Ziya Gizlice, Thomas C Keyserling and Ross J Simpson Jr

    Citation: BMC Medical Informatics and Decision Making 2014 14:14

    Content type: Research article

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  32. Pharmacovigilance aims to uncover and understand harmful side-effects of drugs, termed adverse events (AEs). Although the current process of pharmacovigilance is very systematic, the increasing amount of infor...

    Authors: SriJyothsna Yeleswarapu, Aditya Rao, Thomas Joseph, Vangala Govindakrishnan Saipradeep and Rajgopal Srinivasan

    Citation: BMC Medical Informatics and Decision Making 2014 14:13

    Content type: Research article

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  33. Unstable Angina (UA) is widely accepted as a critical phase of coronary heart disease with patients exhibiting widely varying risks. Early risk assessment of UA is at the center of the management program, whic...

    Authors: Wei Dong, Zhengxing Huang, Lei Ji and Huilong Duan

    Citation: BMC Medical Informatics and Decision Making 2014 14:12

    Content type: Research article

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  34. An estimated 366 million people are living with diabetes worldwide and it is predicted that its prevalence will increase to 552 million by 2030. Management of this disease and its complications is a challenge ...

    Authors: Farhad Fatehi, Melinda Martin-Khan, Leonard C Gray and Anthony W Russell

    Citation: BMC Medical Informatics and Decision Making 2014 14:11

    Content type: Study protocol

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  35. We describe the results of cognitive interviews to refine the “Making Choices©” Decision Aid (DA) for shared decision-making (SDM) about stress testing in patients with stable coronary artery disease (CAD).

    Authors: Karen Kelly-Blake, Stacie Clark, Katherine Dontje, Adesuwa Olomu, Rebecca C Henry, David R Rovner, Marilyn L Rothert and Margaret Holmes-Rovner

    Citation: BMC Medical Informatics and Decision Making 2014 14:10

    Content type: Research article

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  36. We aimed to develop a real-time nosocomial infection surveillance system (RT-NISS) to monitor all nosocomial infections (NIs) and outbreaks in a Chinese comprehensive hospital to better prevent and control NIs.

    Authors: Mingmei Du, Yubin Xing, Jijiang Suo, Bowei Liu, Na Jia, Rui Huo, Chunping Chen and Yunxi Liu

    Citation: BMC Medical Informatics and Decision Making 2014 14:9

    Content type: Research article

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  37. The editors of BMC Medical Informatics and Decision Making would like to thank all our reviewers who have contributed their time to the journal in Volume 13 (2013).

    Authors: Irene Pala

    Citation: BMC Medical Informatics and Decision Making 2014 14:7

    Content type: Reviewer acknowledgement

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  38. Interactive multimedia is an emerging technology that is being used to facilitate interactions between patients and health professionals. The purpose of this review was to identify and evaluate the impact of m...

    Authors: Carol Raaff, Cris Glazebrook and Heather Wharrad

    Citation: BMC Medical Informatics and Decision Making 2014 14:8

    Content type: Research article

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  39. Physiologic signals, such as cardiac interbeat intervals, exhibit complex fluctuations. However, capturing important dynamical properties, including nonstationarities may not be feasible from conventional time...

    Authors: Anton Burykin, Madalena D Costa, Luca Citi and Ary L Goldberger

    Citation: BMC Medical Informatics and Decision Making 2014 14:6

    Content type: Technical advance

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  40. Evaluating the features and performance of health information systems can serve to strengthen the systems themselves as well as to guide other organizations in the process of designing and implementing surveil...

    Authors: Christine L Heidebrecht, Jeffrey C Kwong, Michael Finkelstein, Sherman D Quan, Jennifer A Pereira, Susan Quach and Shelley L Deeks

    Citation: BMC Medical Informatics and Decision Making 2014 14:5

    Content type: Research article

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  41. Breast cancer risk reduction has the potential to decrease the incidence of the disease, yet remains underused. We report on the development a web-based tool that provides automated risk assessment and persona...

    Authors: Elissa M Ozanne, Rebecca Howe, Zehra Omer and Laura J Esserman

    Citation: BMC Medical Informatics and Decision Making 2014 14:4

    Content type: Research article

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  42. Choosing the correct ventilator settings for the treatment of patients with respiratory tract disease is quite an important issue. Since the task of specifying the parameters of ventilation equipment is entire...

    Authors: Fatma Patlar Akbulut, Erkan Akkur, Aydin Akan and B Siddik Yarman

    Citation: BMC Medical Informatics and Decision Making 2014 14:3

    Content type: Research article

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  43. Vaccination registries have undoubtedly proven useful for estimating vaccination coverage as well as examining vaccine safety and effectiveness. However, their use for population health research is often limit...

    Authors: Marie-Claude Rousseau, Florence Conus, Jun Li, Marie-Élise Parent and Mariam El-Zein

    Citation: BMC Medical Informatics and Decision Making 2014 14:2

    Content type: Research article

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  44. India is a country with vast unmet medical needs. eHealth has the potential to improve the quality of health care and reach the unreached. We have sought to understand the kinds of eHealth programmes being off...

    Authors: Szymon Jarosławski and Gayatri Saberwal

    Citation: BMC Medical Informatics and Decision Making 2014 14:1

    Content type: Research article

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  45. Assessing the accuracy of influenza epidemic periods determined by statistical models is important to improve the performance of algorithms used in real-time syndromic surveillance systems. This is a difficult...

    Authors: Marion Debin, Cécile Souty, Clément Turbelin, Thierry Blanchon, Pierre-Yves Boëlle, Thomas Hanslik, Gilles Hejblum, Yann Le Strat, Flavien Quintus and Alessandra Falchi

    Citation: BMC Medical Informatics and Decision Making 2013 13:138

    Content type: Research article

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  46. Open-angle glaucoma (OAG) is a prevalent, degenerate ocular disease which can lead to blindness without proper clinical management. The tests used to assess disease progression are susceptible to process and m...

    Authors: Greggory J Schell, Mariel S Lavieri, Joshua D Stein and David C Musch

    Citation: BMC Medical Informatics and Decision Making 2013 13:137

    Content type: Research article

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  47. 'An ounce of prevention is worth a pound of cure’ is a common saying, and indeed, most health economic studies conclude that people are more willing to pay for preventive measures than for treatment activities...

    Authors: Ree M Meertens, Vivian MJ Van de Gaar, Maitta Spronken and Nanne K de Vries

    Citation: BMC Medical Informatics and Decision Making 2013 13:136

    Content type: Research article

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  48. Healthcare costs are increasing rapidly and at an unsustainable rate in many countries, and inpatient hospitalizations are a significant driver of these costs. Clinical decision support (CDS) represents a prom...

    Authors: Christopher L Fillmore, Bruce E Bray and Kensaku Kawamoto

    Citation: BMC Medical Informatics and Decision Making 2013 13:135

    Content type: Research article

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  49. 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 deplo...

    Authors: Felix Köpcke, Dorota Lubgan, Rainer Fietkau, Axel Scholler, Carla Nau, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch and Dennis Toddenroth

    Citation: BMC Medical Informatics and Decision Making 2013 13:134

    Content type: Research article

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