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  1. After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617.

    Authors: Xia Ning, Chi Zhang, Kai Wang, Zhongming Zhao and Ewy Mathé

    Citation: BMC Medical Informatics and Decision Making 2020 20:77

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2020 20:51

  2. For a stress-management app to be persuasive and impactful, designers and developers should obtain a clear perspective of the value proposition according to key stakeholders before development. However, this i...

    Authors: Aniek Lentferink, Louis Polstra, Austin D’Souza, Hilbrand Oldenhuis, Hugo Velthuijsen and Lisette van Gemert-Pijnen

    Citation: BMC Medical Informatics and Decision Making 2020 20:76

    Content type: Research article

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  3. Data quality assessment presents a challenge for research using coded administrative health data. The objective of this study is to develop and validate a set of coding association rules for coded diagnostic d...

    Authors: Mingkai Peng, Sangmin Lee, Adam G. D’Souza, Chelsea T. A. Doktorchik and Hude Quan

    Citation: BMC Medical Informatics and Decision Making 2020 20:75

    Content type: Research article

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  4. The effects of patient sustained self-care behaviors on glycemic control are even greater than the effects of medical treatment, indicating the value of identifying the factors that influence self-care behavio...

    Authors: Ming-Jye Wang, Hung-Ming Lin, Li-Chen Hung and Yi-Ting Lo

    Citation: BMC Medical Informatics and Decision Making 2020 20:74

    Content type: Research article

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  5. In the UK, several initiatives have resulted in the creation of local data warehouses of electronic patient records. Originally developed for commissioning and direct patient care, they are potentially useful ...

    Authors: Alex Bottle, Carole Cohen, Amanda Lucas, Kavitha Saravanakumar, Zia Ul-Haq, Wayne Smith, Azeem Majeed and Paul Aylin

    Citation: BMC Medical Informatics and Decision Making 2020 20:71

    Content type: Research article

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  6. Trials often struggle to achieve their target sample size with only half doing so. Some researchers have turned to Electronic Health Records (EHRs), seeking a more efficient way of recruitment. The Scottish He...

    Authors: Wen Shi, Tom Kelsey and Frank Sullivan

    Citation: BMC Medical Informatics and Decision Making 2020 20:70

    Content type: Research article

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  7. Improving medication safety is a major concern in primary care settings worldwide. The Salford Medication safety dASHboard (SMASH) intervention provided general practices in Salford (Greater Manchester, UK) wi...

    Authors: Mark Jeffries, Wouter T. Gude, Richard N. Keers, Denham L. Phipps, Richard Williams, Evangelos Kontopantelis, Benjamin Brown, Anthony J. Avery, Niels Peek and Darren M. Ashcroft

    Citation: BMC Medical Informatics and Decision Making 2020 20:69

    Content type: Research article

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  8. Drug label, or packaging insert play a significant role in all the operations from production through drug distribution channels to the end consumer. Image of the label also called Display Panel or label could...

    Authors: Xiangwen Liu, Joe Meehan, Weida Tong, Leihong Wu, Xiaowei Xu and Joshua Xu

    Citation: BMC Medical Informatics and Decision Making 2020 20:68

    Content type: Research article

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  9. The International Classification of Diseases, 10th Revision (ICD-10) has been widely used to describe the diagnosis information of patients. Automatic ICD-10 coding is important because manually assigning code...

    Authors: Lingling Zhou, Cheng Cheng, Dong Ou and Hao Huang

    Citation: BMC Medical Informatics and Decision Making 2020 20:67

    Content type: Research article

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  10. Before patients are admitted into the emergency department, it is important to undertake a pre-hospital process, both in terms of treatment performance and a request for resources from an emergency unit. The e...

    Authors: Krongkarn Sutham, Pattaraporn Khuwuthyakorn and Orawit Thinnukool

    Citation: BMC Medical Informatics and Decision Making 2020 20:66

    Content type: Research article

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  11. Prostate-Specific Antigen (PSA) screening for early detection of prostate cancer (PCa) may prevent some cancer deaths, but also may miss some cancers or lead to unnecessary and potentially harmful treatment. T...

    Authors: Søren Birkeland, Susanne S. Pedersen, Anders K. Haakonsson, Michael J. Barry and Nina Rottmann

    Citation: BMC Medical Informatics and Decision Making 2020 20:65

    Content type: Research article

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  12. In this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional Chinese medicine (TCM) clinical records. Our aim is to provide a basis for...

    Authors: Tingting Zhang, Yaqiang Wang, Xiaofeng Wang, Yafei Yang and Ying Ye

    Citation: BMC Medical Informatics and Decision Making 2020 20:64

    Content type: Research article

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  13. Telemedicine and telephone-triage may compromise patient safety, particularly if urgency is underestimated. We aimed to explore the level of safety of a pediatric telemedicine service, with particular referenc...

    Authors: Motti Haimi, Shuli Brammli-Greenberg, Orna Baron-Epel and Yehezkel Waisman

    Citation: BMC Medical Informatics and Decision Making 2020 20:63

    Content type: Research article

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  14. User interface (UI) design features such as screen layout, density of information, and use of colour may affect the usability of electronic prescribing (EP) systems, with usability problems previously associat...

    Authors: Lisa Aufegger, Naresh Serou, Shiping Chen and Bryony Dean Franklin

    Citation: BMC Medical Informatics and Decision Making 2020 20:62

    Content type: Research article

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  15. Implementing the health information system (HIS) is more complex and costly than implementing other information systems. The present study was conducted to design and evaluate technical requirements for the HIS.

    Authors: Mehrdad Farzandipour, Zahra Meidani, Ehsan Nabovati, Monireh Sadeqi Jabali and Razieh Dehghan Banadaki

    Citation: BMC Medical Informatics and Decision Making 2020 20:61

    Content type: Research article

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  16. The rapid adoption of electronic health records (EHRs) holds great promise for advancing medicine through practice-based knowledge discovery. However, the validity of EHR-based clinical research is questionabl...

    Authors: Sunyang Fu, Lester Y. Leung, Anne-Olivia Raulli, David F. Kallmes, Kristin A. Kinsman, Kristoff B. Nelson, Michael S. Clark, Patrick H. Luetmer, Paul R. Kingsbury, David M. Kent and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2020 20:60

    Content type: Research article

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  17. Although cancer survivorship care plans have been in use for several years, they have been shown to not be effective in meeting the long-term needs of cancer survivors, in addition being generic and passive in...

    Authors: Akshat Kapoor and Priya Nambisan

    Citation: BMC Medical Informatics and Decision Making 2020 20:59

    Content type: Research article

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  18. The Australian government has implemented a compulsory aged care accreditation system to guide and monitor the risk management approach in registered residential aged care (RAC) homes. This research assessed t...

    Authors: Ping Yu, Tao Jiang, David Hailey, Jun Ma and Siyu Qian

    Citation: BMC Medical Informatics and Decision Making 2020 20:58

    Content type: Research article

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  19. In this editorial, we briefly summarize the International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019) that was held on June 9–11, 2019 at Columbus, Ohio, USA. Then, we introduce the two re...

    Authors: Xia Ning, Chi Zhang, Kai Wang, Zhongming Zhao and Ewy Mathé

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 2):51

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 2

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2020 20:77

  20. Adverse drug events (ADEs) often occur as a result of drug-drug interactions (DDIs). The use of data mining for detecting effects of drug combinations on ADE has attracted growing attention and interest, howev...

    Authors: Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara Quinney, Pengyue Zhang, Xia Ning, Lang Li and Li Shen

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 2):50

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 2

  21. The key to modern drug discovery is to find, identify and prepare drug molecular targets. However, due to the influence of throughput, precision and cost, traditional experimental methods are difficult to be w...

    Authors: Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen and Kai Zheng

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 2):49

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 2

  22. During the process of decision-making for long-term care, clients are often dependent on informal support and available information about quality ratings of care services. However, clients do not take ratings ...

    Authors: Catharina M. van Leersum, Albine Moser, Ben van Steenkiste, Marion Reinartz, Esther Stoffers, Judith R. L. M. Wolf and Trudy van der Weijden

    Citation: BMC Medical Informatics and Decision Making 2020 20:57

    Content type: Research article

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  23. Primary care electronic medical record (EMR) data are emerging as a useful source for secondary uses, such as disease surveillance, health outcomes research, and practice improvement. These data capture clinic...

    Authors: Stephanie Garies, Michael Cummings, Hude Quan, Kerry McBrien, Neil Drummond, Donna Manca and Tyler Williamson

    Citation: BMC Medical Informatics and Decision Making 2020 20:56

    Content type: Research article

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  24. Research on the development and functioning of technology platforms specifically for health applications in sub-Saharan Africa (SSA), is limited. The healthcare sector has also been resistant to platform adopt...

    Authors: Hilde Herman, Sara S. Grobbelaar and Calie Pistorius

    Citation: BMC Medical Informatics and Decision Making 2020 20:55

    Content type: Research article

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  25. Many colorectal cancer (CRC) survivors experience persisting health problems post-treatment that compromise their health-related quality of life (HRQoL). Prediction models are useful tools for identifying surv...

    Authors: Dóra Révész, Sander M. J. van Kuijk, Floortje Mols, Fränzel J. B. van Duijnhoven, Renate M. Winkels, Huub Hoofs, I Jmert Kant, Luc J. Smits, Stéphanie O. Breukink, Lonneke V. van de Poll-Franse, Ellen Kampman, Sandra Beijer, Matty P. Weijenberg and Martijn J. L. Bours

    Citation: BMC Medical Informatics and Decision Making 2020 20:54

    Content type: Research article

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  26. Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in...

    Authors: Hao Xu, Steven Cox, Lisa Stillwell, Emily Pfaff, James Champion, Stanley C. Ahalt and Karamarie Fecho

    Citation: BMC Medical Informatics and Decision Making 2020 20:53

    Content type: Software

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  27. A variant of unknown significance (VUS) is a variant form of a gene that has been identified through genetic testing, but whose significance to the organism function is not known. An actual challenge in precis...

    Authors: Priscilla Machado do Nascimento, Inácio Gomes Medeiros, Raul Maia Falcão, Beatriz Stransky and Jorge Estefano Santana de Souza

    Citation: BMC Medical Informatics and Decision Making 2020 20:52

    Content type: Technical advance

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  28. Clinical prediction tasks such as patient mortality, length of hospital stay, and disease diagnosis are highly important in critical care research. The existing studies for clinical prediction mainly used simp...

    Authors: Chonghui Guo, Menglin Lu and Jingfeng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:48

    Content type: Research Article

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  29. The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing th...

    Authors: Daniel B. Hier and Steven U. Brint

    Citation: BMC Medical Informatics and Decision Making 2020 20:47

    Content type: Research article

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  30. Chronic conditions present major health problems, affecting an increasing number of individuals who experience a variety of symptoms that impact their health related quality of life. Digital tools can be of su...

    Authors: Berit Seljelid, Cecilie Varsi, Lise Solberg Nes, Aud-E Stenehjem, Jens Bollerslev and Elin Børøsund

    Citation: BMC Medical Informatics and Decision Making 2020 20:46

    Content type: Research article

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  31. Mammographic breast density is an important predictor of breast cancer, but its measurement has limitations related to subjectivity of visual evaluation or to difficult access for automatic volumetric measurem...

    Authors: Adriano L. C. Araújo, Heliana B. Soares, Daniel F. Carvalho, Roberto M. Mendonça and Antonio G. Oliveira

    Citation: BMC Medical Informatics and Decision Making 2020 20:45

    Content type: Technical advance

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  32. Laboratory testing occupies a prominent place in health care. Information technology systems have the potential to empower laboratory experts and to enhance the interpretation of test results in order to bette...

    Authors: Louis Raymond, Éric Maillet, Marie-Claude Trudel, Josianne Marsan, Ana Ortiz de Guinea and Guy Paré

    Citation: BMC Medical Informatics and Decision Making 2020 20:44

    Content type: Research article

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  33. Social media has arisen to be a new and important channel for information users for seeking and creating user-generated content. For health consumers, social media has long been regarded and employed as an imp...

    Authors: Jin Zhang, Zhong Zheng, Yanyan Wang and Yifan Zhu

    Citation: BMC Medical Informatics and Decision Making 2020 20:43

    Content type: Research article

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  34. In a novel endeavour we aimed to develop a clinically relevant case identification method for use in research about the mental health of children and young people in New Zealand using the Integrated Data Infra...

    Authors: Nicholas Bowden, Sheree Gibb, Hiran Thabrew, Jesse Kokaua, Richard Audas, Sally Merry, Barry Taylor and Sarah E Hetrick

    Citation: BMC Medical Informatics and Decision Making 2020 20:42

    Content type: Research article

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  35. The penetration level of mobile technology has grown exponentially and is part of our lifestyle, at all levels. The use of the smartphone has opened up a new horizon of possibilities in the treatment of health...

    Authors: A. Hernández-Reyes, G. Molina-Recio, R. Molina-Luque, M. Romero-Saldaña, F. Cámara-Martos and R. Moreno-Rojas

    Citation: BMC Medical Informatics and Decision Making 2020 20:40

    Content type: Study protocol

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  36. Mobile phones and personal digital assistants have been used for data collection in developing world settings for over three decades, and have become increasingly common. However, the use of electronic data ca...

    Authors: Avi Kenny, Nicholas Gordon, Jordan Downey, Owen Eddins, Kathleen Buchholz, Alvin Menyon and William Mansah

    Citation: BMC Medical Informatics and Decision Making 2020 20:39

    Content type: Software

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  37. Multiobjective decision-making processes present a high degree of complexity in their solution, and tools such as multicriteria decision analysis appear as a way to facilitate the decision-makers’ solution and...

    Authors: Deyse Gillyane Gomes Camilo, Ricardo Pires de Souza, Talita Dias Chagas Frazão and João Florêncio da Costa Junior

    Citation: BMC Medical Informatics and Decision Making 2020 20:38

    Content type: Research article

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  38. The detection of Alzheimer’s Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature rev...

    Authors: Harsh Bhasin and Ramesh Kumar Agrawal

    Citation: BMC Medical Informatics and Decision Making 2020 20:37

    Content type: Research article

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  39. Acute Kidney Injury (AKI) is common among inpatients. Severe AKI increases all-cause mortality especially in critically ill patients. Older patients are more at risk of AKI because of the declined renal functi...

    Authors: Yi-Shian Chen, Che-Yi Chou and Arbee L.P. Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:36

    Content type: Research article

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  40. Shared decision making (SDM) contributes to personalized decisions that fit the personal preferences of patients when choosing a treatment for a condition. However, older adults frequently face multiple chroni...

    Authors: Ruth E. Pel-Littel, Julia C. M. van Weert, Mirella M. Minkman, Wilma J. M. Scholte op Reimer, Marjolein H. van de Pol and Bianca M. Buurman

    Citation: BMC Medical Informatics and Decision Making 2020 20:35

    Content type: Research article

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  41. Despite the established evidence and theoretical advances explaining human judgments under uncertainty, developments of mobile health (mHealth) Clinical Decision Support Systems (CDSS) have not explicitly appl...

    Authors: L. Timotijevic, C. E. Hodgkins, A. Banks, P. Rusconi, B. Egan, M. Peacock, E. Seiss, M. M. L. Touray, H. Gage, C. Pellicano, G. Spalletta, F. Assogna, M. Giglio, A. Marcante, G. Gentile, I. Cikajlo…

    Citation: BMC Medical Informatics and Decision Making 2020 20:34

    Content type: Research article

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  42. We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of...

    Authors: Florian Kunneman, Mattijs Lambooij, Albert Wong, Antal van den Bosch and Liesbeth Mollema

    Citation: BMC Medical Informatics and Decision Making 2020 20:33

    Content type: Software

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  43. Electronic health records (EHRs) are considered as a powerful lever for enabling value-based health systems. However, many challenges to their use persist and some of their unintended negative impacts are incr...

    Authors: Hassane Alami, Pascale Lehoux, Marie-Pierre Gagnon, Jean-Paul Fortin, Richard Fleet and Mohamed Ali Ag Ahmed

    Citation: BMC Medical Informatics and Decision Making 2020 20:32

    Content type: Debate

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  44. Acceptance of Electronic patient portal (EPP) is instrumental for its success. Studies on users’ acceptance in the Middle East region are scarce. This study aims to use the TAM as a framework to quantitatively...

    Authors: Gladys N. Honein-AbouHaidar, Jumana Antoun, Karim Badr, Sani Hlais and Houry Nazaretian

    Citation: BMC Medical Informatics and Decision Making 2020 20:31

    Content type: Research article

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  45. Telemedicine is one of the healthcare sectors that has developed the most in recent years. Currently, telemedicine is mostly used for patients who have difficulty attending medical consultations because of whe...

    Authors: F. A. Allaert, L. Legrand, N. Abdoul Carime and C. Quantin

    Citation: BMC Medical Informatics and Decision Making 2020 20:30

    Content type: Debate

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  46. Modern data driven medical research promises to provide new insights into the development and course of disease and to enable novel methods of clinical decision support. To realize this, machine learning model...

    Authors: Johanna Eicher, Raffael Bild, Helmut Spengler, Klaus A. Kuhn and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2020 20:29

    Content type: Software

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  47. Key barriers to healthcare use in rural Ghana include those of economic, social, cultural and institutional. Amid this, though rarely recognised in Ghanaian healthcare settings, mHealth technology has emerged ...

    Authors: Prince Peprah, Emmanuel Mawuli Abalo, Williams Agyemang-Duah, Hayford Isaac Budu, Emmanuel Appiah-Brempong, Anthony Kwame Morgan and Adjei Gyimah Akwasi

    Citation: BMC Medical Informatics and Decision Making 2020 20:27

    Content type: Research article

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  48. Maintaining adequate situation awareness is crucial for patient safety. Previous studies found that the use of avatar-based monitoring (Visual Patient Technology) improved the perception of vital signs compare...

    Authors: Olivier Garot, Julian Rössler, Juliane Pfarr, Michael T. Ganter, Donat R. Spahn, Christoph B. Nöthiger and David W. Tscholl

    Citation: BMC Medical Informatics and Decision Making 2020 20:26

    Content type: Research article

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  49. Electronic Health Records (EHRs) have the potential to improve many aspects of care and their use has increased in the last decade. Because of this, acceptance and adoption of EHRs is less of a concern than ad...

    Authors: Cynthia J. Sieck, Nicole Pearl, Tiffani J. Bright and Po-Yin Yen

    Citation: BMC Medical Informatics and Decision Making 2020 20:25

    Content type: Research article

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