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  1. Mining massive prescriptions in Traditional Chinese Medicine (TCM) accumulated in the lengthy period of several thousand years to discover essential herbal groups for distinct efficacies is of significance for...

    Authors: Li Chen, Xinglong Liu, Siyuan Zhang, Hong Yi, Yongmei Lu and Pan Yao
    Citation: BMC Medical Informatics and Decision Making 2021 21:66
  2. Rare Diseases (RDs) are difficult to diagnose. Clinical Decision Support Systems (CDSS) could support the diagnosis for RDs. The Medical Informatics in Research and Medicine (MIRACUM) consortium developed a CD...

    Authors: Jannik Schaaf, Martin Sedlmayr, Brita Sedlmayr, Hans-Ulrich Prokosch and Holger Storf
    Citation: BMC Medical Informatics and Decision Making 2021 21:65
  3. Social networking sites such as Facebook® can contribute to health promotion and behaviour change activities, but are currently underused for this purpose. In Germany, health insurance companies are relevant p...

    Authors: Julika Loss and Charlotte von Uslar
    Citation: BMC Medical Informatics and Decision Making 2021 21:64
  4. Systemic inflammatory response syndrome (SIRS) is defined as a non-specific inflammatory process in the absence of infection. SIRS increases susceptibility for organ dysfunction, and frequently affects the cli...

    Authors: Antje Wulff, Sara Montag, Nicole Rübsamen, Friederike Dziuba, Michael Marschollek, Philipp Beerbaum, André Karch and Thomas Jack
    Citation: BMC Medical Informatics and Decision Making 2021 21:62
  5. The electronic health record (EHR) holds the prospect of providing more complete and timely access to clinical information for biomedical research, quality assessments, and quality improvement compared to othe...

    Authors: Wade L. Schulz, H. Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean and Harlan M. Krumholz
    Citation: BMC Medical Informatics and Decision Making 2021 21:61
  6. Summative eHealth evaluations frequently lack quality, which affects the generalizability of the evidence, and its use in practice and further research. To guarantee quality, a number of activities are recomme...

    Authors: Monika Jurkeviciute, Amia Enam, Johanna Torres-Bonilla and Henrik Eriksson
    Citation: BMC Medical Informatics and Decision Making 2021 21:60
  7. We know little about the best approaches to design training for healthcare professionals. We thus studied how user-centered and theory-based design contribute to the development of a distance learning program ...

    Authors: Moulikatou Adouni Lawani, Yves Turgeon, Luc Côté, France Légaré, Holly O. Witteman, Michèle Morin, Edeltraut Kroger, Philippe Voyer, Charo Rodriguez and Anik Giguere
    Citation: BMC Medical Informatics and Decision Making 2021 21:59
  8. Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applic...

    Authors: Alan Brnabic and Lisa M. Hess
    Citation: BMC Medical Informatics and Decision Making 2021 21:54
  9. No case definition of Type 1 diabetes (T1D) for the claims data has been proposed in Japan yet. This study aimed to evaluate the performance of candidate case definitions for T1D using Electronic health care r...

    Authors: Tasuku Okui, Chinatsu Nojiri, Shinichiro Kimura, Kentaro Abe, Sayaka Maeno, Masae Minami, Yasutaka Maeda, Naoko Tajima, Tomoyuki Kawamura and Naoki Nakashima
    Citation: BMC Medical Informatics and Decision Making 2021 21:52
  10. This study aims to explore the information chain management model of large instrument and equipment inter-working in the operating room (OR) led by information nurses.

    Authors: Jinghua Dai, Xiaoqiang Ren, Peng Wu, Xiangdong Wang, Jiang Li, Haiyan Bian, Lingai Ren and Chunmei Wu
    Citation: BMC Medical Informatics and Decision Making 2021 21:50
  11. Rheumatoid arthritis (RA) is an autoimmune disorder with systemic inflammation and may be induced by oxidative stress that affects an inflamed joint. Our objectives were to examine isotypes of autoantibodies a...

    Authors: Kai-Leun Tsai, Che-Chang Chang, Yu-Sheng Chang, Yi-Ying Lu, I-Jung Tsai, Jin-Hua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui-Wen Chang, Ching-Yu Lin and Emily Chia-Yu Su
    Citation: BMC Medical Informatics and Decision Making 2021 21:49
  12. Information literacy competency is one of the requirements to implement Evidence-Based Practice (EBP) in nursing. It is necessary to pay attention to curricular development and use new educational methods such...

    Authors: Maryam Shamsaee, Parvin Mangolian shahrbabaki, Leila Ahmadian, Jamileh Farokhzadian and Farhad Fatehi
    Citation: BMC Medical Informatics and Decision Making 2021 21:48
  13. U.S. hospitals and dialysis centers are penalized for 30-day hospital readmissions of dialysis patients, despite little infrastructure to facilitate care transitions between these settings. We are developing a...

    Authors: Ann E. Vandenberg, Bernard G. Jaar, Kyle P. James, Janice Lea, Christopher O’Donnell, Tahsin Masud, Rich Mutell and Laura C. Plantinga
    Citation: BMC Medical Informatics and Decision Making 2021 21:47
  14. Following publication of the original article [1], it was reported that the contents of Additional file 2 were a duplicate of the files for Additional file 1.

    Authors: Li Tang, Andy H. Lee, Colin W. Binns, Lian Duan, Yi Liu and Chunrong Li
    Citation: BMC Medical Informatics and Decision Making 2021 21:46

    The original article was published in BMC Medical Informatics and Decision Making 2020 20:300

  15. The coronavirus disease 2019 (COVID-19) pandemic has caused health concerns worldwide since December 2019. From the beginning of infection, patients will progress through different symptom stages, such as feve...

    Authors: Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li and Zhenjie Wang
    Citation: BMC Medical Informatics and Decision Making 2021 21:45
  16. Researchers and policy makers have long suspected that people have differing, and potentially nefarious, motivations for participating in stated-preference studies such as discrete-choice experiments (DCE). Wh...

    Authors: Ilene L. Hollin, Ellen Janssen, Marcella A. Kelley and John F. P. Bridges
    Citation: BMC Medical Informatics and Decision Making 2021 21:44
  17. Researchers developing prediction models are faced with numerous design choices that may impact model performance. One key decision is how to include patients who are lost to follow-up. In this paper we perfor...

    Authors: Jenna M. Reps, Peter Rijnbeek, Alana Cuthbert, Patrick B. Ryan, Nicole Pratt and Martijn Schuemie
    Citation: BMC Medical Informatics and Decision Making 2021 21:43
  18. Little data exists regarding decision-making preferences for parents and surgeons in pediatric surgery. Here we investigate whether parents and surgeons have similar decision-making preferences as well as whic...

    Authors: Erica M. Carlisle, Caleb J. Klipowicz, Laura A. Shinkunas, Aaron M. Scherer and Lauris C. Kaldjian
    Citation: BMC Medical Informatics and Decision Making 2021 21:42
  19. Currently, the Internet seems to be a helpful tool for obtaining information about everything that we think about, including diseases, their prevention and treatment approaches. However, doubts exist regarding...

    Authors: Mohammed Sultan Al-Ak’hali, Hytham N. Fageeh, Esam Halboub, Mohammed Nasser Alhajj and Zaihan Ariffin
    Citation: BMC Medical Informatics and Decision Making 2021 21:41
  20. The provision of unnecessary Emergency Medical Services care remains a challenge throughout the US and contributes to Emergency Department overcrowding, delayed services and lower quality of care. New EMS mode...

    Authors: Luis M. Pinet-Peralta, Lukas J. Glos, Evan Sanna, Brian Frankel and Ernest Lindqvist
    Citation: BMC Medical Informatics and Decision Making 2021 21:40
  21. Helping Babies Breathe (HBB) is a life-saving program that has helped reduce neonatal morbidity and mortality, but knowledge and skills retention after training remains a significant challenge for sustainabili...

    Authors: Natalie Hoi-Man Chan, Hasan S. Merali, Niraj Mistry, Ryan Kealey, Douglas M. Campbell, Shaun K. Morris and Santorino Data
    Citation: BMC Medical Informatics and Decision Making 2021 21:39
  22. Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is diff...

    Authors: Fei Zhang, Bo Sun, Xiaolin Diao, Wei Zhao and Ting Shu
    Citation: BMC Medical Informatics and Decision Making 2021 21:38
  23. Data from clinical registries may be linked to gain additional insights into disease processes, risk factors and outcomes. Identifying information varies from full names, addresses and unique identification co...

    Authors: Tim G. Coulson, Michael Bailey, Chris Reid, Gil Shardey, Jenni Williams-Spence, Sue Huckson, Shaila Chavan and David Pilcher
    Citation: BMC Medical Informatics and Decision Making 2021 21:37
  24. Questionnaires are commonly used tools in telemedicine services that can help to evaluate different aspects. Selecting the ideal questionnaire for this purpose may be challenging for researchers. This study ai...

    Authors: Sadrieh Hajesmaeel-Gohari and Kambiz Bahaadinbeigy
    Citation: BMC Medical Informatics and Decision Making 2021 21:36
  25. Due to the need for informatics competencies in the field of nursing, the present study was conducted to design a psychometric instrument to determine the qualification of informatics competencies of employed ...

    Authors: Mehrdad Farzandipour, Hashem Mohamadian, Hossein Akbari, Samira Safari and Reihane Sharif
    Citation: BMC Medical Informatics and Decision Making 2021 21:35
  26. Internet-based technologies play an increasingly important role in the management and outcome of patients with chronic kidney disease (CKD). The healthcare system is currently flooded with digital innovations ...

    Authors: Lena Schiffer, Raoul Gertges, Mariel Nöhre, Elisabeth Schieffer, Uwe Tegtbur, Lars Pape, Martina de Zwaan and Mario Schiffer
    Citation: BMC Medical Informatics and Decision Making 2021 21:34
  27. Quantitative data reports are widely produced to inform health policy decisions. Policymakers are expected to critically assess provided information in order to incorporate the best available evidence into the...

    Authors: Pamela Wronski, Michel Wensing, Sucheta Ghosh, Lukas Gärttner, Wolfgang Müller and Jan Koetsenruijter
    Citation: BMC Medical Informatics and Decision Making 2021 21:32
  28. The Elderly and their caregivers need credible health information to manage elderly chronic diseases and help them to be involved in health decision making. In this regard, health websites are considered as a ...

    Authors: Saeideh Valizadeh-Haghi, Shahabedin Rahmatizadeh, Ali Soleimaninejad, Seyedeh Fatemeh Mousavi Shirazi and Parisa Mollaei
    Citation: BMC Medical Informatics and Decision Making 2021 21:31
  29. Informed consent is required for participation in clinical trials, however trials involving adults who lack capacity to consent require different enrolment processes. A family member usually acts as a proxy to...

    Authors: Victoria Shepherd, Fiona Wood, Richard Griffith, Mark Sheehan and Kerenza Hood
    Citation: BMC Medical Informatics and Decision Making 2021 21:30
  30. Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI)...

    Authors: Imjin Ahn, Wonjun Na, Osung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun and Young-Hak Kim
    Citation: BMC Medical Informatics and Decision Making 2021 21:29
  31. Health Information System is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it ...

    Authors: Moges Asressie Chanyalew, Mezgebu Yitayal, Asmamaw Atnafu and Binyam Tilahun
    Citation: BMC Medical Informatics and Decision Making 2021 21:28
  32. Prescription medication (PM) misuse/abuse has emerged as a national crisis in the United States, and social media has been suggested as a potential resource for performing active monitoring. However, automatin...

    Authors: Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O’Connor, Gonzalez-Hernandez Graciela, Jeanmarie Perrone and Abeed Sarker
    Citation: BMC Medical Informatics and Decision Making 2021 21:27
  33. Birthweight is an important indicator during the fetal development process to protect the maternal and infant safety. However, birthweight is difficult to be directly measured, and is usually roughly estimated...

    Authors: Jing Tao, Zhenming Yuan, Li Sun, Kai Yu and Zhifen Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21:26
  34. The use of information technologies could help to improve communications between patients and care providers, might improve overall patient management practice. However, the potential for implementing these pa...

    Authors: Binyam Tariku Seboka, Tesfahun Melese Yilma and Abraham Yeneneh Birhanu
    Citation: BMC Medical Informatics and Decision Making 2021 21:24
  35. Physical inactivity is a global health concern. mHealth interventions have become increasingly popular, but to date, principles of effective communication from Self-Determination Theory have not been integrate...

    Authors: Joanna Catherine Nicholas, Nikos Ntoumanis, Brendan John Smith, Eleanor Quested, Emmanuel Stamatakis and Cecilie Thøgersen-Ntoumani
    Citation: BMC Medical Informatics and Decision Making 2021 21:23
  36. Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level...

    Authors: Xia Yu, Ning Ma, Tao Yang, Yawen Zhang, Qing Miao, Junjun Tao, Hongru Li, Yiming Li and Yehong Yang
    Citation: BMC Medical Informatics and Decision Making 2021 21:22
  37. In recent years, a significant change has taken place in the health care delivery systems due to the availability of smartphones and mobile software applications. The use of mobile technology can help to reduc...

    Authors: P. Pokhrel, R. Karmacharya, T. Taylor Salisbury, K. Carswell, B. A. Kohrt, M. J. D. Jordans, H. Lempp, G. Thornicroft and N. P. Luitel
    Citation: BMC Medical Informatics and Decision Making 2021 21:21
  38. Studies have revealed inappropriate laboratory testing as a source of waste. This review aimed at evaluating the effects and features of CDSSs on physicians' appropriate laboratory test ordering in inpatient h...

    Authors: Sahar Zare, Zahra Meidani, Mohammad Shirdeli and Ehsan Nabovati
    Citation: BMC Medical Informatics and Decision Making 2021 21:20
  39. CPGs are not uniformly successful in improving care and several instances of implementation failure have been reported. Performing a comprehensive assessment of the barriers and enablers is key to developing a...

    Authors: Ying-hui Jin, Li-Ming Tan, Khalid S. Khan, Tong Deng, Chao Huang, Fei Han, Jing Zhang, Qiao Huang, Di Huang, Dan-qi Wang, Yu Wang, Xian-tao Zeng, Qiang Wang and Xing-huan Wang
    Citation: BMC Medical Informatics and Decision Making 2021 21:19
  40. Access to and use of digital technology are more common among people of more advantaged socioeconomic status. These differences might be due to lack of interest, not having physical access or having lower inte...

    Authors: Ivana Paccoud, Michèle Baumann, Etienne Le Bihan, Benoît Pétré, Mareike Breinbauer, Philip Böhme, Louis Chauvel and Anja K. Leist
    Citation: BMC Medical Informatics and Decision Making 2021 21:18
  41. Assessment of functional ability, including activities of daily living (ADLs), is a manual process completed by skilled health professionals. In the presented research, an automated decision support tool, the ...

    Authors: Janusz Wojtusiak, Negin Asadzadehzanjani, Cari Levy, Farrokh Alemi and Allison E. Williams
    Citation: BMC Medical Informatics and Decision Making 2021 21:17
  42. Statistical data analysis, especially the advanced machine learning (ML) methods, have attracted considerable interest in clinical practices. We are looking for interpretability of the diagnostic/prognostic re...

    Authors: Pei-Yuan Zhou and Andrew K. C. Wong
    Citation: BMC Medical Informatics and Decision Making 2021 21:16
  43. The Coronavirus Disease 2019 (COVID-19) pandemic has infected over 10 million people globally with a relatively high mortality rate. There are many therapeutics undergoing clinical trials, but there is no effe...

    Authors: Fuhai Li, Andrew P. Michelson, Randi Foraker, Ming Zhan and Philip R. O. Payne
    Citation: BMC Medical Informatics and Decision Making 2021 21:15
  44. Under the influences of chemotherapy regimens, clinical staging, immunologic expressions and other factors, the survival rates of patients with diffuse large B-cell lymphoma (DLBCL) are different. The accurate...

    Authors: Shuanglong Fan, Zhiqiang Zhao, Hongmei Yu, Lei Wang, Chuchu Zheng, Xueqian Huang, Zhenhuan Yang, Meng Xing, Qing Lu and Yanhong Luo
    Citation: BMC Medical Informatics and Decision Making 2021 21:14
  45. The rapid growth of mobile technology has given rise to the development of mobile health (mHealth) applications aimed at treating and preventing a wide range of health conditions. However, evidence on the use ...

    Authors: Ernest Osei, Desmond Kuupiel, Portia Nelisiwe Vezi and Tivani P. Mashamba-Thompson
    Citation: BMC Medical Informatics and Decision Making 2021 21:11
  46. Although ophthalmic devices have made remarkable progress and are widely used, most lack standardization of both image review and results reporting systems, making interoperability unachievable. We developed a...

    Authors: Yongseok Mun, Jooyoung Kim, Kyoung Jin Noh, Soochahn Lee, Seok Kim, Soyoung Yi, Kyu Hyung Park, Sooyoung Yoo, Dong Jin Chang and Sang Jun Park
    Citation: BMC Medical Informatics and Decision Making 2021 21:9
  47. The ability to report complete, accurate and timely data by HIV care providers and other entities is a key aspect in monitoring trends in HIV prevention, treatment and care, hence contributing to its eradicati...

    Authors: Milka Bochere Gesicho, Martin Chieng Were and Ankica Babic
    Citation: BMC Medical Informatics and Decision Making 2021 21:6
  48. Cardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with CVD prevention. Predicting future CVH levels may help providers bette...

    Authors: Aixia Guo, Rahmatollah Beheshti, Yosef M. Khan, James R. Langabeer II and Randi E. Foraker
    Citation: BMC Medical Informatics and Decision Making 2021 21:5

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