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  1. 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

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  2. 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

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  3. 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

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  4. 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

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  5. 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

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  6. 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

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  7. 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

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  8. 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

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  9. 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

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  10. 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

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  11. 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

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  12. 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

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  13. 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

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  14. 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

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  15. 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

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  16. Several heart failure (HF) risk models exist, however, most of them perform poorly when applied to real-world situations. This study aimed to develop a convenient and efficient risk model to identify patients ...

    Authors: Bo-yu Tan, Jun-yuan Gu, Hong-yan Wei, Li Chen, Su-lan Yan and Nan Deng

    Citation: BMC Medical Informatics and Decision Making 2019 19:193

    Content type: Research article

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  17. Enhancing the self-management capability of asthma patients can improve their level of asthma control. Although the use of mobile health technology among asthmatics to facilitate self-management has become a g...

    Authors: Zhifang Guan, Liu Sun, Qian Xiao and Yanling Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:192

    Content type: Research article

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  18. Chronic pain is one of the most common complaints of cancer patients. There are many pharmacological and non-pharmacological treatment modalities used for the treatment of pain. Nonetheless, non-pharmacologica...

    Authors: Ender Sir and Gül Didem Batur Sir

    Citation: BMC Medical Informatics and Decision Making 2019 19:191

    Content type: Research article

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  19. Shared decision making (SDM) is a systematic approach aimed at improving patient involvement in preference-sensitive health care decisions. Choosing between surgical or non-surgical treatment for lumbar disc h...

    Authors: Stina Brogård Andersen, Mikkel Ø. Andersen, Leah Y. Carreon, Angela Coulter and Karina Dahl Steffensen

    Citation: BMC Medical Informatics and Decision Making 2019 19:190

    Content type: Research article

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  20. The inclusion of patient preferences (PP) in the medical product life cycle is a topic of growing interest to stakeholders such as academics, Health Technology Assessment (HTA) bodies, reimbursement agencies, ...

    Authors: Rosanne Janssens, Isabelle Huys, Eline van Overbeeke, Chiara Whichello, Sarah Harding, Jürgen Kübler, Juhaeri Juhaeri, Antonio Ciaglia, Steven Simoens, Hilde Stevens, Meredith Smith, Bennett Levitan, Irina Cleemput, Esther de Bekker-Grob and Jorien Veldwijk

    Citation: BMC Medical Informatics and Decision Making 2019 19:189

    Content type: Research article

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  21. Many European countries have recently implemented national rare disease plans. Although the network is strengthening, especially on the macro and meso levels, patients still go a long way through healthcare sy...

    Authors: Ana Babac, Verena von Friedrichs, Svenja Litzkendorf, Jan Zeidler, Kathrin Damm and J.-Matthias Graf von der Schulenburg

    Citation: BMC Medical Informatics and Decision Making 2019 19:188

    Content type: Research article

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  22. Sharing test results with patients via patient web portals is a new trend in healthcare. No research has been done examining patient web portal use with bone density test results. The objective of our study wa...

    Authors: Stephanie Edmonds, Yiyue Lou, Brandi Robinson, Peter Cram, Douglas W. Roblin, Nicole C. Wright, Kenneth Saag and Fredric D. Wolinsky

    Citation: BMC Medical Informatics and Decision Making 2019 19:187

    Content type: Research article

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  23. An individualized approach using shared decision-making (SDM) and goal setting is a person-centred strategy that may facilitate prioritization of treatment options. SDM has not been adopted extensively in clin...

    Authors: Catherine H. Yu, Calvin Ke, Aleksandra Jovicic, Susan Hall and Sharon E. Straus

    Citation: BMC Medical Informatics and Decision Making 2019 19:186

    Content type: Research article

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  24. The incidence of cardiac implantable electronic device infection (CIEDI) is low and usually belongs to the typical imbalanced dataset. We sought to describe our experience on the management of the imbalanced C...

    Authors: Xiang-Fei Feng, Ling-Chao Yang, Li-Zhuang Tan and Yi-Gang Li

    Citation: BMC Medical Informatics and Decision Making 2019 19:185

    Content type: Research article

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  25. Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification of brain imaging in radiology reports per...

    Authors: Emily Wheater, Grant Mair, Cathie Sudlow, Beatrice Alex, Claire Grover and William Whiteley

    Citation: BMC Medical Informatics and Decision Making 2019 19:184

    Content type: Research article

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  26. Medical data sharing is a big challenge in biomedicine, which often hinders collaborative research. Due to privacy concerns, clinical notes cannot be directly shared. A lot of efforts have been dedicated to de...

    Authors: Md Nazmus Sadat, Md Momin Al Aziz, Noman Mohammed, Serguei Pakhomov, Hongfang Liu and Xiaoqian Jiang

    Citation: BMC Medical Informatics and Decision Making 2019 19:183

    Content type: Software

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  27. Kidney allocation is a multi-criteria and complex decision-making problem, which should also consider ethical issues in addition to the medical aspects. Leading countries in this field use a point scoring syst...

    Authors: Nasrin Taherkhani, Mohammad Mehdi Sepehri, Shadi Shafaghi and Toktam Khatibi

    Citation: BMC Medical Informatics and Decision Making 2019 19:182

    Content type: Research article

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  28. Health research apps often do not focus on usability as a design priority. This is problematic when the population of interest is disproportionately underrepresented as users of mobile apps, especially observe...

    Authors: Y. Quintana, D. Fahy, A. M. Abdelfattah, J. Henao and C. Safran

    Citation: BMC Medical Informatics and Decision Making 2019 19:181

    Content type: Study protocol

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  29. The Grog Survey App is a visual and interactive tablet computer-based survey application. It has been shown to be an accurate and acceptable tool to help Indigenous Australians describe what they drink.

    Authors: KS Kylie Lee, James H. Conigrave, Scott Wilson, Jimmy Perry, Noel Hayman, Catherine Zheng, Mustafa Al Ansari, Michael Doyle, Robin Room, Sarah Callinan, Tanya Chikritzhs, Tim Slade and Katherine M. Conigrave

    Citation: BMC Medical Informatics and Decision Making 2019 19:180

    Content type: Research article

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  30. Aponjon (meaning “near and dear ones”), a mobile phone-based mHealth service, customized voice messages for expectant (6–42 weeks pregnancy) and new mothers (1–52 weeks after delivery) for promotion of recommende...

    Authors: Mahbub Elahi Chowdhury, Shafayatul Islam Shiblee and Heidi E. Jones

    Citation: BMC Medical Informatics and Decision Making 2019 19:179

    Content type: Research article

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  31. The collection of data and biospecimens which characterize patients and probands in-depth is a core element of modern biomedical research. Relevant data must be considered highly sensitive and it needs to be p...

    Authors: Florian Kohlmayer, Ronald Lautenschläger and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2019 19:178

    Content type: Debate

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  32. Following publication of the original manuscript [1], the authors noted several errors in Table 1. Details of the requested corrections are shown below:

    Authors: Marcello Tonelli, Natasha Wiebe, Martin Fortin, Bruce Guthrie, Brenda R. Hemmelgarn, Matthew T. James, Scott W. Klarenbach, Richard Lewanczuk, Braden J. Manns, Paul Ronksley, Peter Sargious, Sharon Straus and Hude Quan

    Citation: BMC Medical Informatics and Decision Making 2019 19:177

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2015 15:31

  33. Even though a high demand for sector spanning communication exists, so far no eHealth platform for nephrology is established within Germany. This leads to insufficient communication between medical providers a...

    Authors: L. Pape, N. Schneider, T. Schleef, U. Junius-Walker, H. Haller, R. Brunkhorst, N. Hellrung, H. U. Prokosch, B. Haarbrandt, M. Marschollek and M. Schiffer

    Citation: BMC Medical Informatics and Decision Making 2019 19:176

    Content type: Study protocol

    Published on:

  34. This study explores opinions and experiences of people with Parkinson’s disease (PwP) in Sweden of using self-tracking. Parkinson’s disease (PD) is a neurodegenerative condition entailing varied and changing s...

    Authors: Sara Riggare, Therese Scott Duncan, Helena Hvitfeldt and Maria Hägglund

    Citation: BMC Medical Informatics and Decision Making 2019 19:175

    Content type: Research article

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  35. To evaluate the effectiveness of audit and communication strategies to reduce diagnostic errors made by clinicians.

    Authors: Julie Abimanyi-Ochom, Shalika Bohingamu Mudiyanselage, Max Catchpool, Marnie Firipis, Sithara Wanni Arachchige Dona and Jennifer J. Watts

    Citation: BMC Medical Informatics and Decision Making 2019 19:174

    Content type: Research article

    Published on:

  36. Feelings of depression can be caused by negative life events (NLE) such as the death of a family member, a quarrel with one’s spouse, job loss, or strong criticism from an authority figure. The automatic and a...

    Authors: Jheng-Long Wu, Xiang Xiao, Liang-Chih Yu, Shao-Zhen Ye and K. Robert Lai

    Citation: BMC Medical Informatics and Decision Making 2019 19:173

    Content type: Technical advance

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  37. The admission, discharge and transfer (ADT) module is used in the hospital information system (HIS) for the purposes of managing appointments, patient admission, daily control of hospital beds, planning surger...

    Authors: Razieh Farrahi, Fatemeh Rangraz Jeddi, Ehsan Nabovati, Monireh Sadeqi Jabali and Reza Khajouei

    Citation: BMC Medical Informatics and Decision Making 2019 19:172

    Content type: Research article

    Published on:

  38. A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative cult...

    Authors: Ross J. Burton, Mahableshwar Albur, Matthias Eberl and Simone M. Cuff

    Citation: BMC Medical Informatics and Decision Making 2019 19:171

    Content type: Research article

    Published on:

  39. The increasing complexity and volume of clinical data poses a challenge in the decision-making process. Data visualizations can assist in this process by speeding up the time required to analyze and understand...

    Authors: Andres Ledesma, Niranjan Bidargaddi, Jörg Strobel, Geoffrey Schrader, Hannu Nieminen, Ilkka Korhonen and Miikka Ermes

    Citation: BMC Medical Informatics and Decision Making 2019 19:170

    Content type: Research article

    Published on:

  40. Identifying individuals who are unlikely to adhere to a physical exercise regime has potential to improve physical activity interventions. The aim of this paper is to develop and test adherence prediction mode...

    Authors: Mo Zhou, Yoshimi Fukuoka, Ken Goldberg, Eric Vittinghoff and Anil Aswani

    Citation: BMC Medical Informatics and Decision Making 2019 19:169

    Content type: Research article

    Published on:

  41. Electronic health records are now widely adopted in medical and behavioral health settings. While they have the potential to improve the quality of care, the research findings on their impact on clinical pract...

    Authors: Victoria Stanhope and Elizabeth B. Matthews

    Citation: BMC Medical Informatics and Decision Making 2019 19:168

    Content type: Research article

    Published on:

  42. Thrombophilia testing is frequently ordered in the inpatient setting despite its limited impact on clinical decision-making and unreliable results in the setting of acute thrombosis or ongoing anticoagulation....

    Authors: Henry Kwang, Eric Mou, Ilana Richman, Andre Kumar, Caroline Berube, Rajani Kaimal, Neera Ahuja, Stephanie Harman, Tyler Johnson, Neil Shah, Ronald Witteles, Robert Harrington, Lisa Shieh and Jason Hom

    Citation: BMC Medical Informatics and Decision Making 2019 19:167

    Content type: Research article

    Published on:

  43. 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 the...

    Authors: Hye Hyeon Kim, Yu Rang Park, Kye Hwa Lee, Young Soo Song and Ju Han Kim

    Citation: BMC Medical Informatics and Decision Making 2019 19:166

    Content type: Technical advance

    Published on:

  44. Most breast cancer patients undergoing mastectomy are candidates for breast reconstruction. Deciding about breast reconstruction is complex and the preference-sensitive nature of this decision requires an appr...

    Authors: Jacqueline A. ter Stege, Leonie A. E. Woerdeman, Daniela E. E. Hahn, Martine A. van Huizum, Frederieke H. van Duijnhoven, Jacobien M. Kieffer, Valesca P. Retèl, Kerry A. Sherman, Arjen J. Witkamp, Hester S. A. Oldenburg and Eveline M. A. Bleiker

    Citation: BMC Medical Informatics and Decision Making 2019 19:165

    Content type: Study protocol

    Published on:

  45. Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to ...

    Authors: Jihad S. Obeid, Erin R. Weeda, Andrew J. Matuskowitz, Kevin Gagnon, Tami Crawford, Christine M. Carr and Lewis J. Frey

    Citation: BMC Medical Informatics and Decision Making 2019 19:164

    Content type: Research article

    Published on:

  46. To understand user needs, system requirements and organizational conditions towards successful design and adoption of Clinical Decision Support Systems for Type 2 Diabetes (T2D) care built on top of computeriz...

    Authors: Giuseppe Fico, Liss Hernanzez, Jorge Cancela, Arianna Dagliati, Lucia Sacchi, Antonio Martinez-Millana, Jorge Posada, Lidia Manero, Jose Verdú, Andrea Facchinetti, Manuel Ottaviano, Konstantia Zarkogianni, Konstantina Nikita, Leif Groop, Rafael Gabriel-Sanchez, Luca Chiovato…

    Citation: BMC Medical Informatics and Decision Making 2019 19:163

    Content type: Research article

    Published on:

  47. There is growing interest in sensor-based assessment of upper limb tremor in multiple sclerosis and other movement disorders. However, previously such assessments have not been found to offer any improvement o...

    Authors: David G. Western, Simon A. Neild, Rosemary Jones and Angela Davies-Smith

    Citation: BMC Medical Informatics and Decision Making 2019 19:162

    Content type: Research article

    Published on:

  48. Healthcare professionals’ adherence to guidelines on child protection is not self-evident. This study assessed the effects of a computerised support tool on child healthcare professionals’ adherence to the sev...

    Authors: Annemieke A. J. Konijnendijk, Magda M. Boere-Boonekamp, Maria E. Haasnoot and Ariana Need

    Citation: BMC Medical Informatics and Decision Making 2019 19:161

    Content type: Research article

    Published on:

  49. Electronic health records (EHRs) are an elementary part of the work of registered nurses (RNs) in healthcare. RNs are the largest group of healthcare workers, and their experiences with EHRs and their informat...

    Authors: Tuulikki Vehko, Hannele Hyppönen, Sampsa Puttonen, Sari Kujala, Eeva Ketola, Johanna Tuukkanen, Anna-Mari Aalto and Tarja Heponiemi

    Citation: BMC Medical Informatics and Decision Making 2019 19:160

    Content type: Research article

    Published on:

  50. Drug-drug interactions (DDIs) can cause patient harm. Between 46 and 90% of patients admitted to the Intensive Care Unit (ICU) are exposed to potential DDIs (pDDIs). This rate is twice as high as patients on g...

    Authors: T. Bakker, J. E. Klopotowska, S. Eslami, D. W. de Lange, R. van Marum, H. van der Sijs, E. de Jonge, D. A. Dongelmans, N. F. de Keizer and A. Abu-Hanna

    Citation: BMC Medical Informatics and Decision Making 2019 19:159

    Content type: Study protocol

    Published on:

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