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  1. Extracting useful information from biomedical literature plays an important role in the development of modern medicine. In natural language processing, there have been rigorous attempts to find meaningful rela...

    Authors: Go Eun Heo, Qing Xie, Min Song and Jeong-Hoon Lee
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):240
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 5

  2. Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number...

    Authors: Luqi Li, Jie Zhao, Li Hou, Yunkai Zhai, Jinming Shi and Fangfang Cui
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):235
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 5

  3. The successful introduction of homomorphic encryption (HE) in clinical research holds promise for improving acceptance of data-sharing protocols, increasing sample sizes, and accelerating learning from real-wo...

    Authors: Silvia Paddock, Hamed Abedtash, Jacqueline Zummo and Samuel Thomas
    Citation: BMC Medical Informatics and Decision Making 2019 19:255
    Content type: Research article Published on:

  4. This study explored the possible antecedents that will motivate hospital employees’ compliance with privacy policy related to electronic medical records (EMR) from a deterrence perspective. Further, we also in...

    Authors: Kuang-Ming Kuo, Paul C. Talley and Tain-Junn Cheng
    Citation: BMC Medical Informatics and Decision Making 2019 19:254
    Content type: Research article Published on:

  5. Enabling patients to be active users of their own medical records may promote the delivery of safe, efficient care across settings. Patients are rarely involved in designing digital health record systems which...

    Authors: Leigh R. Warren, Matthew Harrison, Sonal Arora and Ara Darzi
    Citation: BMC Medical Informatics and Decision Making 2019 19:250
    Content type: Research article Published on:

  6. The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications tech...

    Authors: J. F. Avila-Tomas, E. Olano-Espinosa, C. Minué-Lorenzo, F. J. Martinez-Suberbiola, B. Matilla-Pardo, M. E. Serrano-Serrano and E. Escortell-Mayor
    Citation: BMC Medical Informatics and Decision Making 2019 19:249
    Content type: Study protocol Published on:

  7. Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems an...

    Authors: Elizabeth Ford, Philip Rooney, Seb Oliver, Richard Hoile, Peter Hurley, Sube Banerjee, Harm van Marwijk and Jackie Cassell
    Citation: BMC Medical Informatics and Decision Making 2019 19:248
    Content type: Research article Published on:

  9. Electronic health record (EHR) data are available for research in all UK nations and cross-nation comparative studies are becoming more common. All UK inpatient EHRs are based around episodes, but episode-base...

    Authors: Sarah Rees, Ashley Akbari, Huw Collins, Sze Chim Lee, Amanda Marchant, Arfon Rees, Daniel Thayer, Ting Wang, Sophie Wood and Ann John
    Citation: BMC Medical Informatics and Decision Making 2019 19:246
    Content type: Research article Published on:

  10. Numerous studies have analyzed the effectiveness of electronic reminder interventions to improve different clinical conditions, and most have reported a small to moderate effect. Few studies, however, have ana...

    Authors: Ermengol Coma, Manuel Medina, Leonardo Méndez, Eduardo Hermosilla, Manuel Iglesias, Carmen Olmos and Sebastian Calero
    Citation: BMC Medical Informatics and Decision Making 2019 19:245
    Content type: Research article Published on:

  11. This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, ...

    Authors: Simon Geletta, Lendie Follett and Marcia Laugerman
    Citation: BMC Medical Informatics and Decision Making 2019 19:242
    Content type: Research article Published on:

  12. Personal health records (PHRs) provide the opportunity for self-management support, enhancing communication between patients and caregivers, and maintaining and/or improving the quality of chronic disease mana...

    Authors: Floor Sieverink, Saskia Kelders, Annemarie Braakman-Jansen and Julia van Gemert-Pijnen
    Citation: BMC Medical Informatics and Decision Making 2019 19:241
    Content type: Research article Published on:

  13. Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the applicati...

    Authors: Min Ju Kang, Sang Yun Kim, Duk L. Na, Byeong C. Kim, Dong Won Yang, Eun-Joo Kim, Hae Ri Na, Hyun Jeong Han, Jae-Hong Lee, Jong Hun Kim, Kee Hyung Park, Kyung Won Park, Seol-Heui Han, Seong Yoon Kim, Soo Jin Yoon, Bora Yoon…
    Citation: BMC Medical Informatics and Decision Making 2019 19:231
    Content type: Research article Published on:

  14. Hospital electronic information management systems (HEIMS) are widely used in Ghana, and hence its performance must be carefully assessed. Nurses as clinical health personnel are the largest cluster of hospita...

    Authors: Lu Lin Zhou, Joseph Owusu-Marfo, Henry Asante Antwi, Maxwell Opuni Antwi, Arielle Doris Tetgoum Kachie and Sabina Ampon-Wireko
    Citation: BMC Medical Informatics and Decision Making 2019 19:230
    Content type: Research article Published on:

  15. Demographic changes, increased life expectancy and the associated rise in chronic diseases pose challenges to public health care systems. Optimized treatment methods and integrated concepts of care are potenti...

    Authors: Alexander Lassnig, Theresa Rienmueller, Diether Kramer, Werner Leodolter, Christian Baumgartner and Joerg Schroettner
    Citation: BMC Medical Informatics and Decision Making 2019 19:229
    Content type: Research article Published on:

  16. Following publication of the original article [1], the authors reported an error in one of the authors’ names. In this Correction the incorrect and correct author name are shown. The original publication of th...

    Authors: V. Laengsri, W. Shoombuatong, W. Adirojananon, C. Nantasenamat, V. Prachayasittikul and P. Nuchnoi
    Citation: BMC Medical Informatics and Decision Making 2019 19:228
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2019 19:212

  17. Following publication of the original article [1], the authors reported that the article erroneously stated that Dr. Ancker was affiliated with the Tehran University of Medical Sciences. Dr. Ancker is not affi...

    Authors: Jessica S. Ancker, Alison Edwards, Sarah Nosal, Diane Hauser, Elizabeth Mauer and Rainu Kaushal
    Citation: BMC Medical Informatics and Decision Making 2019 19:227
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2017 17:36

  18. Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes....

    Authors: Tianrun Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai and Katherine P. Liao
    Citation: BMC Medical Informatics and Decision Making 2019 19:226
    Content type: Software Published on:

  19. There is limited information in Mexico - a middle-income country and a digital adopter with an important demographic bonus - regarding the potential use of technology and connectivity in health promotion among...

    Authors: Arturo Aguilar-Ye, Hortensia Reyes-Morales, Lourdes Campero and Nicéforo Garnelo-Bibiano
    Citation: BMC Medical Informatics and Decision Making 2019 19:225
    Content type: Research article Published on:

  20. Obstructive sleep apnea (OSA) is a sleep disorder with a high prevalence in China. Standard diagnosis of OSA requires polysomnography (PSG). Currently, smart phone applications (apps) are widely used as an imp...

    Authors: Zhao-feng Xu, Xin Luo, Jianbo Shi and Yinyan Lai
    Citation: BMC Medical Informatics and Decision Making 2019 19:224
    Content type: Research article Published on:

  21. The use of post-acute care (PAC) for cardiovascular conditions is highly variable across geographical regions. Although PAC benefits include lower readmission rates, better clinical outcomes, and lower mortali...

    Authors: Ineen Sultana, Madhav Erraguntla, Hye-Chung Kum, Dursun Delen and Mark Lawley
    Citation: BMC Medical Informatics and Decision Making 2019 19:223
    Content type: Research article Published on:

  22. Global evidence suggests a range of benefits for introducing electronic health record (EHR) systems to improve patient care. However, implementing EHR within healthcare organisations is complex and, in the Uni...

    Authors: Carolyn McCrorie, Jonathan Benn, Owen Ashby Johnson and Arabella Scantlebury
    Citation: BMC Medical Informatics and Decision Making 2019 19:222
    Content type: Research article Published on:

  23. The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient dat...

    Authors: Yue You, Svetlana V. Doubova, Diana Pinto-Masis, Ricardo Pérez-Cuevas, Víctor Hugo Borja-Aburto and Alan Hubbard
    Citation: BMC Medical Informatics and Decision Making 2019 19:221
    Content type: Research article Published on:

  24. Interest in mHealth interventions, defined as the use of mobile phones to access healthcare is increasingly becoming popular globally. Given its technology-based applications, university students may be key cl...

    Authors: Prince Peprah, Emmanuel Mawuli Abalo, Williams Agyemang-Duah, Razak M Gyasi, Okwei Reforce, Julius Nyonyo, Godfred Amankwaa, Jones Amoako and Paulinus Kaaratoore
    Citation: BMC Medical Informatics and Decision Making 2019 19:220
    Content type: Research article Published on:

  25. The use of digital technology in healthcare has been found to be useful for data collection, provision of health information and communications. Despite increasing use of medical mobile phone applications (app...

    Authors: Jenny Carter, Jane Sandall, Andrew H. Shennan and Rachel M. Tribe
    Citation: BMC Medical Informatics and Decision Making 2019 19:219
    Content type: Research article Published on:

  26. Electronic health records (EHRs) are promising tools for routine care. These applications might not only enhance the interaction between patient and physician but also support therapy management. This is cruci...

    Authors: Toni Maria Klein, Matthias Augustin and Marina Otten
    Citation: BMC Medical Informatics and Decision Making 2019 19:218
    Content type: Research article Published on:

  27. About 50% of patients with Crohn’s disease (CD) and about 20% of those with ulcerative colitis (UC) undergo surgery at some point during the course of the disease. The diagnostic validity of the Swedish Nation...

    Authors: Anders Forss, Pär Myrelid, Ola Olén, Åsa H. Everhov, Caroline Nordenvall, Jonas Halfvarson and Jonas F. Ludvigsson
    Citation: BMC Medical Informatics and Decision Making 2019 19:217
    Content type: Research article Published on:

  28. Electronic health records (EHRs) with embedded clinical decision support systems (CDSSs) have the potential to improve healthcare delivery. This study was conducted to explore merits, features, and desiderata ...

    Authors: Ramzi Shawahna
    Citation: BMC Medical Informatics and Decision Making 2019 19:216
    Content type: Research article Published on:

  29. Spatial epidemiological analyses primarily depend on spatially-indexed medical records. Some countries have devised ways of capturing patient-specific spatial details using ZIP codes, postcodes or personal num...

    Authors: Augustus Aturinde, Nakasi Rose, Mahdi Farnaghi, Gilbert Maiga, Petter Pilesjö and Ali Mansourian
    Citation: BMC Medical Informatics and Decision Making 2019 19:215
    Content type: Research article Published on:

  30. Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models...

    Authors: Rawan AlSaad, Qutaibah Malluhi, Ibrahim Janahi and Sabri Boughorbel
    Citation: BMC Medical Informatics and Decision Making 2019 19:214
    Content type: Research Article Published on:

  31. The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media pl...

    Authors: Jia Rong, Sandra Michalska, Sudha Subramani, Jiahua Du and Hua Wang
    Citation: BMC Medical Informatics and Decision Making 2019 19:208
    Content type: Research Article Published on:

  32. Smart pumps have been widely adopted but there is limited evidence to understand and support their use in pediatric populations. Our objective was to assess whether smart pumps are effective at reducing medica...

    Authors: Kristin R. Melton, Kristen Timmons, Kathleen E. Walsh, Jareen K. Meinzen-Derr and Eric Kirkendall
    Citation: BMC Medical Informatics and Decision Making 2019 19:213
    Content type: Research article Published on:

  33. The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better metho...

    Authors: V. Laengsri, W. Shoombuatong, W. Adirojananon, C. Nantasenamat, V. Prachayasittikul and P. Nuchnoi
    Citation: BMC Medical Informatics and Decision Making 2019 19:212
    Content type: Technical advance Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:228

  34. Diabetes and cardiovascular disease are two of the main causes of death in the United States. Identifying and predicting these diseases in patients is the first step towards stopping their progression. We eval...

    Authors: An Dinh, Stacey Miertschin, Amber Young and Somya D. Mohanty
    Citation: BMC Medical Informatics and Decision Making 2019 19:211
    Content type: Research Article Published on:

  35. For an effective artificial pancreas (AP) system and an improved therapeutic intervention with continuous glucose monitoring (CGM), predicting the occurrence of hypoglycemia accurately is very important. While...

    Authors: Wonju Seo, You-Bin Lee, Seunghyun Lee, Sang-Man Jin and Sung-Min Park
    Citation: BMC Medical Informatics and Decision Making 2019 19:210
    Content type: Research Article Published on:

  36. Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of...

    Authors: Brook Tesfaye, Suleman Atique, Tariq Azim and Mihiretu M. Kebede
    Citation: BMC Medical Informatics and Decision Making 2019 19:209
    Content type: Research article Published on:

  37. Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools for implementation at clinica...

    Authors: Mohamed Khalifa, Farah Magrabi and Blanca Gallego
    Citation: BMC Medical Informatics and Decision Making 2019 19:207
    Content type: Research article Published on:

  38. The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990–201...

    Authors: Kwang-Sig Lee, Sunghoon Jung, Yeongjoon Gil and Ho Sung Son
    Citation: BMC Medical Informatics and Decision Making 2019 19:206
    Content type: Research article Published on:

  39. Self-management education of diabetes which is one of the most important noncommunicable diseases worldwide involves facilitating knowledge, skills, and ability required for self-care in these patients. Concer...

    Authors: Amal Mohammad Rasoul, Rostam Jalali, Alireza Abdi, Nader Salari, Mehrali Rahimi and Masoud Mohammadi
    Citation: BMC Medical Informatics and Decision Making 2019 19:205
    Content type: Research article Published on:

  40. Radiotherapy is a standard treatment option for breast cancer, but it may lead to significant late morbidity, including radiation heart damage. Breast irradiation performed individually in the supine or prone ...

    Authors: Ferenc Rárosi, Krisztina Boda, Zsuzsanna Kahán and Zoltán Varga
    Citation: BMC Medical Informatics and Decision Making 2019 19:204
    Content type: Research article Published on:

  41. Premenopausal breast cancer patients are at risk of treatment-related infertility. Many patients do not receive sufficient fertility information before treatment. As such, our team developed and alpha tested the

    Authors: Brittany Speller, Kelly Metcalfe, Erin D. Kennedy, Marcia Facey, Ellen Greenblatt, Adena S. Scheer, Ellen Warner, Anil Abraham Joy, Frances C. Wright and Nancy N. Baxter
    Citation: BMC Medical Informatics and Decision Making 2019 19:203
    Content type: Research article Published on:

  42. The secondary use of electronic health records (EHRs) promises to facilitate medical research. We reviewed general data requirements in observational studies and analyzed the feasibility of conducting observat...

    Authors: Marcel von Lucadou, Thomas Ganslandt, Hans-Ulrich Prokosch and Dennis Toddenroth
    Citation: BMC Medical Informatics and Decision Making 2019 19:202
    Content type: Research article Published on:

  43. Time of death estimation in humans for the benefit of forensic medicine has been successfully approached by Henssge, who modelled body cooling based on measurements of Marshall and Hoare. Thereby, body and amb...

    Authors: Wolf Schweitzer and Michael J. Thali
    Citation: BMC Medical Informatics and Decision Making 2019 19:201
    Content type: Technical Advance Published on:

  44. Digital services have been found promising in managing different aspects of health, also stress. We developed a web service for cultivating the positive side of stress based on the stress experiences of entrep...

    Authors: Päivi Heikkilä, Elina Mattila and Mari Ainasoja
    Citation: BMC Medical Informatics and Decision Making 2019 19:200
    Content type: Research article Published on:

  45. In radiotherapy, minimizing the time between referral and start of treatment (waiting time) is important to possibly mitigate tumor growth and avoid psychological distress in cancer patients. Radiotherapy pre-...

    Authors: Bruno Vieira, Derya Demirtas, Jeroen B. van de Kamer, Erwin W. Hans and Wim van Harten
    Citation: BMC Medical Informatics and Decision Making 2019 19:199
    Content type: Research article Published on:

  46. Breast cancer causes hundreds of thousands of deaths each year worldwide. The early stage diagnosis and treatment can significantly reduce the mortality rate. However, the traditional manual diagnosis needs in...

    Authors: Chuang Zhu, Fangzhou Song, Ying Wang, Huihui Dong, Yao Guo and Jun Liu
    Citation: BMC Medical Informatics and Decision Making 2019 19:198
    Content type: Research Article Published on:

  47. Type 2 Diabetes Mellitus (T2DM) is a chronic disease closely related to personal life style. Therefore, achieving effective self-management is one of the most important ways to control it. There is evidence th...

    Authors: Xiaojia Wang, Linglan He, Keyu Zhu, Shanshan Zhang, Ling Xin, Weiqun Xu and Yuxiang Guan
    Citation: BMC Medical Informatics and Decision Making 2019 19:197
    Content type: Research article Published on:

  48. Every case of breast cancer is unique, and treatment must be personalized to incorporate a woman’s values and preferences. We developed an individually-tailored mobile patient education application for women w...

    Authors: Kirk D. Wyatt, Sarah M. Jenkins, Matthew F. Plevak, Marcia R. Venegas Pont and Sandhya Pruthi
    Citation: BMC Medical Informatics and Decision Making 2019 19:196
    Content type: Research article Published on:

  49. Case-based reasoning is a proven method that relies on learned cases from the past for decision support of a new case. The accuracy of such a system depends on the applied similarity measure, which quantifies ...

    Authors: Christian Karmen, Matthias Gietzelt, Petra Knaup-Gregori and Matthias Ganzinger
    Citation: BMC Medical Informatics and Decision Making 2019 19:195
    Content type: Research article Published on:

  50. A pharmacogenomic clinical decision support tool (PGx-CDS) for thiopurine medications can help physicians incorporate pharmacogenomic results into prescribing decisions by providing up-to-date, real-time decis...

    Authors: Khoa A. Nguyen, Himalaya Patel, David A. Haggstrom, Alan J. Zillich, Thomas F. Imperiale and Alissa L. Russ
    Citation: BMC Medical Informatics and Decision Making 2019 19:194
    Content type: Research article Published on:
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BMC Medical Informatics and Decision Making

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