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  1. 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

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

  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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

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

  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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
  50. 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

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