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  1. A subgroup of patients with asthma has been reported to have an increased risk for asthma-associated infectious and inflammatory multimorbidities (AIMs). To systematically investigate the association of asthma...

    Authors: Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu and Young J. Juhn
    Citation: BMC Medical Informatics and Decision Making 2021 21:310
  2. Disease-drug associations provide essential information for drug discovery and disease treatment. Many disease-drug associations remain unobserved or unknown, and trials to confirm these associations are time-...

    Authors: Pengwei Hu, Yu-an Huang, Jing Mei, Henry Leung, Zhan-heng Chen, Ze-min Kuang, Zhu-hong You and Lun Hu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):308

    This article is part of a Supplement: Volume 21 Supplement 1

  3. Medication reconciliation (MedRec), a process to reduce medication error at care transitions, is labour- and resource-intensive and time-consuming. Use of Personal Electronic Records of Medications (PERMs) in ...

    Authors: Catherine Waldron, Joan Cahill, Sam Cromie, Tim Delaney, Sean P. Kennelly, Joshua M. Pevnick and Tamasine Grimes
    Citation: BMC Medical Informatics and Decision Making 2021 21:307
  4. In resources constrained settings, effectively implemented Electronic Medical Record systems have numerous benefits over paper-based record keeping. This system was implemented in the 2009 Gregorian Calendar i...

    Authors: Alemayehu Bisrat, Dagne Minda, Bekalu Assamnew, Biruk Abebe and Teshome Abegaz
    Citation: BMC Medical Informatics and Decision Making 2021 21:306
  5. Early identification of the occurrence of arrhythmia in patients with acute myocardial infarction plays an essential role in clinical decision-making. The present study attempted to use machine learning (ML) m...

    Authors: Suhuai Wang, Jingjie Li, Lin Sun, Jianing Cai, Shihui Wang, Linwen Zeng and Shaoqing Sun
    Citation: BMC Medical Informatics and Decision Making 2021 21:301
  6. Accurately predicting which patients with chronic heart failure (CHF) are particularly vulnerable for adverse outcomes is of crucial importance to support clinical decision making. The goal of the current stud...

    Authors: Onno P. van der Galiën, René C. Hoekstra, Muhammed T. Gürgöze, Olivier C. Manintveld, Mark R. van den Bunt, Cor J. Veenman and Eric Boersma
    Citation: BMC Medical Informatics and Decision Making 2021 21:303
  7. Data quality assessment is important but complex and task dependent. Identifying suitable measurement methods and reference ranges for assessing their results is challenging. Manually inspecting the measuremen...

    Authors: Erik Tute, Nagarajan Ganapathy and Antje Wulff
    Citation: BMC Medical Informatics and Decision Making 2021 21:302
  8. Computer-aided diagnosis (CAD) systems based on medical images could support physicians in the decision-making process. During the last decades, researchers have proposed CAD systems in several medical domains...

    Authors: Giacomo Donato Cascarano, Francesco Saverio Debitonto, Ruggero Lemma, Antonio Brunetti, Domenico Buongiorno, Irio De Feudis, Andrea Guerriero, Umberto Venere, Silvia Matino, Maria Teresa Rocchetti, Michele Rossini, Francesco Pesce, Loreto Gesualdo and Vitoantonio Bevilacqua
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):300

    This article is part of a Supplement: Volume 21 Supplement 1

  9. Self-care and participation of patients in improving health and increasing awareness about the risk factors that affect the development of disease in patients with urinary tract stones are influential factors ...

    Authors: Leila Shahmoradi, Amin Azizpour, Mahmud Bejani, Pejman Shadpour and Sorayya Rezayi
    Citation: BMC Medical Informatics and Decision Making 2021 21:299
  10. Prediction of length of stay (LOS) at admission time can provide physicians and nurses insight into the illness severity of patients and aid them in avoiding adverse events and clinical deterioration. It also ...

    Authors: Amin Naemi, Thomas Schmidt, Marjan Mansourvar, Ali Ebrahimi and Uffe Kock Wiil
    Citation: BMC Medical Informatics and Decision Making 2021 21:298
  11. The use of general practice electronic health records (EHRs) for research purposes is in its infancy in Australia. Given these data were collected for clinical purposes, questions remain around data quality an...

    Authors: Sharmala Thuraisingam, Patty Chondros, Michelle M. Dowsey, Tim Spelman, Stephanie Garies, Peter F. Choong, Jane Gunn and Jo-Anne Manski-Nankervis
    Citation: BMC Medical Informatics and Decision Making 2021 21:297
  12. Healthcare organizations have begun to adopt personal health records (PHR) systems to engage patients, but little is known about factors associated with the adoption of PHR systems at an organizational level. ...

    Authors: Byung Kwan Choi, Young-Taek Park, Hyeoun-Ae Park, Chris Lane, Emmanuel C. Jo and Sunghong Kang
    Citation: BMC Medical Informatics and Decision Making 2021 21:296
  13. Occlusions of intravenous (IV) tubing can prevent vital and time-critical medication or solutions from being delivered into the bloodstream of patients receiving IV therapy. At low flow rates (≤ 1 ml/h) the al...

    Authors: Frank Doesburg, Roy Oelen, Maurits H. Renes, Pedro M. Lourenço, Daan J. Touw and Maarten W. Nijsten
    Citation: BMC Medical Informatics and Decision Making 2021 21:295
  14. Health systems globally are investing in integrating secure messaging platforms for virtual care in clinical practice. Implementation science is essential for adoption, scale-up, spread and maintenance of comp...

    Authors: Samia El Joueidi, Kevin Bardosh, Richard Musoke, Binyam Tilahun, Maryam Abo Moslim, Katie Gourlay, Alissa MacMullin, Victoria J. Cook, Melanie Murray, Gilbert Mbaraga, Sabin Nsanzimana and Richard Lester
    Citation: BMC Medical Informatics and Decision Making 2021 21:293
  15. One of the important components of the health system is the emergency medical services (EMS) system. The EMS system was implemented at Kerman University of Medical Sciences teaching hospitals to communicate th...

    Authors: Faezeh Afzali, Yunes Jahani, Fatemeh Bagheri and Reza khajouei
    Citation: BMC Medical Informatics and Decision Making 2021 21:292
  16. Undernutrition is the main cause of child death in developing countries. This paper aimed to explore the efficacy of machine learning (ML) approaches in predicting under-five undernutrition in Ethiopian admini...

    Authors: Haile Mekonnen Fenta, Temesgen Zewotir and Essey Kebede Muluneh
    Citation: BMC Medical Informatics and Decision Making 2021 21:291
  17. Some predictive systems using machine learning models have been developed to predict sepsis; however, they were mostly built with a low percent of missing values, which does not correspond with the actual clin...

    Authors: Yao-Yi Kuo, Shu-Tien Huang and Hung-Wen Chiu
    Citation: BMC Medical Informatics and Decision Making 2021 21:290
  18. To describe an automated method for assessment of the plausibility of continuous variables collected in the electronic health record (EHR) data for real world evidence research use.

    Authors: Hui Wang, Ilana Belitskaya-Levy, Fan Wu, Jennifer S. Lee, Mei-Chiung Shih, Philip S. Tsao and Ying Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21:289
  19. Early unplanned hospital readmissions are associated with increased harm to patients, increased medical costs, and negative hospital reputation. With the identification of at-risk patients, a crucial step towa...

    Authors: Yu-Tai Lo, Jay Chiehen Liao, Mei-Hua Chen, Chia-Ming Chang and Cheng-Te Li
    Citation: BMC Medical Informatics and Decision Making 2021 21:288

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:73

  20. Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poo...

    Authors: Adisu Tafari Shama, Hirbo Shore Roba, Admas Abera Abaerei, Teferi Gebru Gebremeskel and Negga Baraki
    Citation: BMC Medical Informatics and Decision Making 2021 21:287
  21. Protection of privacy data published in the health care field is an important research field. The Health Insurance Portability and Accountability Act (HIPAA) in the USA is the current legislation for privacy p...

    Authors: Jie Su, Yi Cao, Yuehui Chen, Yahui Liu and Jinming Song
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):286

    This article is part of a Supplement: Volume 21 Supplement 1

  22. Strengthening surveillance systems to collect near-real-time case-based data plays a fundamental role in achieving malaria elimination in the Greater Mekong Subregion (GMS). With the advanced and widespread us...

    Authors: Win Han Oo, Kaung Myat Thu, Julia C. Cutts, Win Htike, Kyawt Mon Win, May Chan Oo, Naw Hkawng Galau, Paul A. Agius, Pyae Phyo Htoon, Ellen Kearney, Aung Thi, Ye Win Aung, Min Min Thein, Kathryn Rosecrans, Kyi Tun Lwin, Aung Kyi Min…
    Citation: BMC Medical Informatics and Decision Making 2021 21:285
  23. Charging according to disease is an important way to effectively promote the reform of medical insurance mechanism, reasonably allocate medical resources and reduce the burden of patients, and it is also an im...

    Authors: Li-Li Tong, Jin-Bo Gu, Jing-Jiao Li, Guang-Xuan Liu, Shuo-Wei Jin and Ai-Yun Yan
    Citation: BMC Medical Informatics and Decision Making 2021 21:284
  24. The liver is an important organ that undertakes the metabolic function of the human body. Liver cancer has become one of the cancers with the highest mortality. In clinic, it is an important work to extract th...

    Authors: Jiawei Wu, Shengqiang Zhou, Songlin Zuo, Yiyin Chen, Weiqin Sun, Jiang Luo, Jiantuan Duan, Hui Wang and Deguang Wang
    Citation: BMC Medical Informatics and Decision Making 2021 21:283
  25. A variety of smartphone apps and wearables are available both to help patients monitor their health and to support health care professionals (HCPs) in providing clinical care. As part of the RADAR-CNS consorti...

    Authors: J. A. Andrews, M. P. Craven, A. R. Lang, B. Guo, R. Morriss and C. Hollis
    Citation: BMC Medical Informatics and Decision Making 2021 21:282
  26. An Informatics Consult has been proposed in which clinicians request novel evidence from large scale health data resources, tailored to the treatment of a specific patient. However, the availability of such co...

    Authors: Alvina G. Lai, Wai Hoong Chang, Constantinos A. Parisinos, Michail Katsoulis, Ruth M. Blackburn, Anoop D. Shah, Vincent Nguyen, Spiros Denaxas, George Davey Smith, Tom R. Gaunt, Krishnarajah Nirantharakumar, Murray P. Cox, Donall Forde, Folkert W. Asselbergs, Steve Harris, Sylvia Richardson…
    Citation: BMC Medical Informatics and Decision Making 2021 21:281
  27. Lack of proper and timely patients' access to speech pathologists can affect the treatment and follow-up process; therefore, patients do not achieve the expected therapeutic goals. The aim of this study was to...

    Authors: Maryam Eslami Jahromi and Leila Ahmadian
    Citation: BMC Medical Informatics and Decision Making 2021 21:280
  28. The medication process is complex and error-prone. To avoid medication errors, a medication order should fulfil certain criteria, such as good readability and comprehensiveness. In this context, a computerized...

    Authors: Viktoria Jungreithmayr, Andreas D. Meid, Walter E. Haefeli and Hanna M. Seidling
    Citation: BMC Medical Informatics and Decision Making 2021 21:279
  29. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Joanna Dagard, Nadia Mazille-Orfanos, Nawras Georgi, Intissar Dechicha, Guy Carrault, Patrick Pladys and Alain Beuchée
    Citation: BMC Medical Informatics and Decision Making 2021 21:277

    The original article was published in BMC Medical Informatics and Decision Making 2021 21:269

  30. Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making in ...

    Authors: Rosy Tsopra, Xose Fernandez, Claudio Luchinat, Lilia Alberghina, Hans Lehrach, Marco Vanoni, Felix Dreher, O.Ugur Sezerman, Marc Cuggia, Marie de Tayrac, Edvins Miklasevics, Lucian Mihai Itu, Marius Geanta, Lesley Ogilvie, Florence Godey, Cristian Nicolae Boldisor…
    Citation: BMC Medical Informatics and Decision Making 2021 21:274
  31. Drug repurposing, the process of identifying additional therapeutic uses for existing drugs, has attracted increasing attention from both the pharmaceutical industry and the research community. Many existing c...

    Authors: Qianlong Wen, Ruoqi Liu and Ping Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 8):263

    This article is part of a Supplement: Volume 21 Supplement 8

  32. Evidenced-based practice is a key component of quality care. This study aims to explore users’ expectations concerning paediatric local clinical practice guidelines.

    Authors: Joanna Dagard, Nadia Mazille-Orfanos, Nawras Georgi, Intissar Dechicha, Guy Carrault, Patrick Pladys and Alain Beuchée
    Citation: BMC Medical Informatics and Decision Making 2021 21:269

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:277

  33. The glycated hemoglobin (A1c) test is not recommended for sickle cell disease (SCD) patients. We examine ordering patterns of diabetes-related tests for SCD patients to explore misutilization of tests among th...

    Authors: Shivani Sivasankar, An-Lin Cheng, Ira M. Lubin, Kamani Lankachandra and Mark A. Hoffman
    Citation: BMC Medical Informatics and Decision Making 2021 21:268
  34. The use of Electronic Health Records (EHR) data in clinical research is incredibly increasing, but the abundancy of data resources raises the challenge of data cleaning. It can save time if the data cleaning c...

    Authors: Xi Shi, Charlotte Prins, Gijs Van Pottelbergh, Pavlos Mamouris, Bert Vaes and Bart De Moor
    Citation: BMC Medical Informatics and Decision Making 2021 21:267
  35. Recent developments in machine learning have shown its potential impact for clinical use such as risk prediction, prognosis, and treatment selection. However, relevant data are often scattered across different...

    Authors: Marie Beth van Egmond, Gabriele Spini, Onno van der Galien, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle and Milena Kooij-Janic
    Citation: BMC Medical Informatics and Decision Making 2021 21:266
  36. Vietnam is undergoing a fast-aging process that poses potential critical issues for older people and central among those is demand for healthcare utilization. However, healthcare utilization, here measured as ...

    Authors: Duc Dung Le, Roberto Leon Gonzalez and Joseph Upile Matola
    Citation: BMC Medical Informatics and Decision Making 2021 21:265
  37. There is a knowledge gap regarding factors that may influence the access to different devices for home-dwelling people with dementia (PwD). The aim of this study was to identify different assistive technology ...

    Authors: Nathalie Genevieve Puaschitz, Frode Fadnes Jacobsen, Janne Mannseth, Renira Corinne Angeles, Line Iden Berge, Marie Hidle Gedde and Bettina Sandgathe Husebo
    Citation: BMC Medical Informatics and Decision Making 2021 21:264
  38. It is essential for radiologists to communicate actionable findings to the referring clinicians reliably. Natural language processing (NLP) has been shown to help identify free-text radiology reports including...

    Authors: Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Soichiro Miki, Takeyuki Watadani, Takeharu Yoshikawa, Naoto Hayashi and Osamu Abe
    Citation: BMC Medical Informatics and Decision Making 2021 21:262
  39. Hospitalized people with unhealthy substance use should be referred to treatment. Although inpatient referral resources are often available, clinicians report that outpatient referral networks are not well-est...

    Authors: Kelli Thoele, Mengmeng Yu, Mandeep Dhillon, Robert Skipworth Comer, Hannah L. Maxey, Robin Newhouse and Ukamaka M. Oruche
    Citation: BMC Medical Informatics and Decision Making 2021 21:260
  40. The International Consortium for Health Outcomes Measurement (ICHOM) develops condition-specific Standard Sets of outcomes to be measured in clinical practice for value-based healthcare evaluation. Standard Se...

    Authors: Caroline B. Terwee, Marloes Zuidgeest, Harald E. Vonkeman, David Cella, Lotte Haverman and Leo D. Roorda
    Citation: BMC Medical Informatics and Decision Making 2021 21:259
  41. Although middle-aged and elderly users are the main group targeted by health maintenance-oriented WeChat official accounts (HM-WOAs), few studies have explored the relationship of these accounts and their user...

    Authors: Lin Xu, Pengfei Li, Xiaorong Hou, Hongfan Yu, Tingting Tang, Ting Liu, Shoushu Xiang, Xiaoqian Wu and Cheng Huang
    Citation: BMC Medical Informatics and Decision Making 2021 21:257
  42. Institutions, government departments, and healthcare professionals engage in social media because it facilitates reaching a large number of people simultaneously. YouTube provides a platform whereby anyone can...

    Authors: Lambodara Parabhoi, Ramani Ranjan Sahu, Rebecca Susan Dewey, Manoj Kumar Verma, Arbind Kumar Seth and Damodar Parabhoi
    Citation: BMC Medical Informatics and Decision Making 2021 21:255
  43. Accumulating studies indicates that microRNAs (miRNAs) play vital roles in the process of development and progression of many human complex diseases. However, traditional biochemical experimental methods for i...

    Authors: Ru Nie, Zhengwei Li, Zhu-hong You, Wenzheng Bao and Jiashu Li
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):254

    This article is part of a Supplement: Volume 21 Supplement 1

  44. Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed-immobility, sensory impairment, bed pos...

    Authors: Christine Anderson, Zerihun Bekele, Yongkai Qiu, Dana Tschannen and Ivo D. Dinov
    Citation: BMC Medical Informatics and Decision Making 2021 21:253
  45. A high quality treatment decision means patients are informed and receive treatment that matches their goals. This research examined the reliability and validity of the Depression Decision Quality Instrument (...

    Authors: Suzanne Brodney, K. D. Valentine and Karen Sepucha
    Citation: BMC Medical Informatics and Decision Making 2021 21:252

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