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  1. 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

    Content type: Research article

    Published on:

  2. 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

    Content type: Research article

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  3. 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

    Content type: Research article

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  4. 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

    Content type: Research article

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  5. 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

    Content type: Research article

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  6. 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

    Content type: Research article

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  7. 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

    Content type: Research article

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  8. 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

    Content type: Research article

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  9. 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

    Content type: Research article

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  10. 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

    Content type: Research article

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  11. 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

    Content type: Research article

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  12. Videoconferencing has been proposed as a way of improving access to healthcare for older adults in care homes. Despite this, effective uptake of videoconferencing remains varied. This study evaluates a videoco...

    Authors: Louise Newbould, Steven Ariss, Gail Mountain and Mark S. Hawley

    Citation: BMC Medical Informatics and Decision Making 2021 21:13

    Content type: Research article

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  13. Hospital-acquired pressure injuries (HAPrIs) are areas of damage to the skin occurring among 5–10% of surgical intensive care unit (ICU) patients. HAPrIs are mostly preventable; however, prevention may require...

    Authors: Jenny Alderden, Kathryn P. Drake, Andrew Wilson, Jonathan Dimas, Mollie R. Cummins and Tracey L. Yap

    Citation: BMC Medical Informatics and Decision Making 2021 21:12

    Content type: Research article

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  14. 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

    Content type: Research article

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  15. The nursing process is the core and the standard of practice in nursing profession. Nowadays, the use of information technology in the field of nursing processes, education and practice has been emphasized. Si...

    Authors: Kobra Parvan, Fahimeh Alsadat Hosseini, Madineh Jasemi and Brian Thomson

    Citation: BMC Medical Informatics and Decision Making 2021 21:10

    Content type: Research article

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  16. 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

    Content type: Software

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  17. The patient ranking process for donor lung allocation in the United States is carried out by a classification-based, computerized algorithm, known as the match system. Experts have suggested that a continuous,...

    Authors: Darren E. Stewart, Dallas W. Wood, James B. Alcorn, Erika D. Lease, Michael Hayes, Brett Hauber and Rebecca E. Goff

    Citation: BMC Medical Informatics and Decision Making 2021 21:8

    Content type: Research article

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  18. The cloud is a promising resource for data sharing and computing. It can optimize several legacy processes involving different units of a company or more companies. Recently, cloud technology applications are ...

    Authors: S. Bertuccio, G. Tardiolo, F. M. Giambò, G. Giuffrè, R. Muratore, C. Settimo, A. Raffa, S. Rigano, A. Bramanti, N. Muscarà and M. C. De Cola

    Citation: BMC Medical Informatics and Decision Making 2021 21:7

    Content type: Technical advance

    Published on:

  19. 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

    Content type: Research article

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  20. 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

    Content type: Research article

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  21. Medication management processes in an Oncology setting are complex and difficult to examine in isolation from interrelated processes and contextual factors. This qualitative study aims to evaluate the usabilit...

    Authors: Racha Dabliz, Simon K. Poon, Angus Ritchie, Rosemary Burke and Jonathan Penm

    Citation: BMC Medical Informatics and Decision Making 2021 21:4

    Content type: Research article

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  22. Next-generation sequencing provides comprehensive information about individuals’ genetic makeup and is commonplace in oncology clinical practice. However, the utility of genetic information in the clinical dec...

    Authors: Yiqing Zhao, Saravut J. Weroha, Ellen L. Goode, Hongfang Liu and Chen Wang

    Citation: BMC Medical Informatics and Decision Making 2021 21:3

    Content type: Research article

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  23. Kidney transplant outcomes are broadly associated with transplant recipients’ capacity in following a complex and continuous self-management regimen. Health information technology has the potential to empower ...

    Authors: Saeid Eslami, Farnaz Khoshrounejad, Reza Golmakani, Zhila Taherzadeh, Fariba Tohidinezhad, Sayyed Mostafa Mostafavi and Raheleh Ganjali

    Citation: BMC Medical Informatics and Decision Making 2021 21:2

    Content type: Review

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  24. Intrauterine Insemination (IUI) outcome prediction is a challenging issue which the assisted reproductive technology (ART) practitioners are dealing with. Predicting the success or failure of IUI based on the ...

    Authors: Sima Ranjbari, Toktam Khatibi, Ahmad Vosough Dizaji, Hesamoddin Sajadi, Mehdi Totonchi and Firouzeh Ghaffari

    Citation: BMC Medical Informatics and Decision Making 2021 21:1

    Content type: Research article

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  25. Electronic health records (EHRs) offer various advantages for healthcare delivery, especially for chronic and complex diseases such as psoriasis. However, both patients’ and physicians’ acceptability is requir...

    Authors: Toni Maria Klein, Matthias Augustin, Natalia Kirsten and Marina Otten

    Citation: BMC Medical Informatics and Decision Making 2020 20:344

    Content type: Research article

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  26. Electrocardiogram (ECG) signal, an important indicator for heart problems, is commonly corrupted by a low-frequency baseline wander (BW) artifact, which may cause interpretation difficulty or inaccurate analys...

    Authors: Chao-Chen Chen and Fuchiang Rich Tsui

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):343

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  27. The 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) provided a multidisciplinary forum for computational scientists and experimental biologists to share recent advances on all as...

    Authors: Li Shen, Xinghua Shi, Zhongming Zhao and Kai Wang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):342

    Content type: Introduction

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  28. Age and time information stored within the histories of clinical notes can provide valuable insights for assessing a patient’s disease risk, understanding disease progression, and studying therapeutic outcomes...

    Authors: Judy Hong, Anahita Davoudi, Shun Yu and Danielle L. Mowery

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):338

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  29. Natural language processing (NLP) tools can facilitate the extraction of biomedical concepts from unstructured free texts, such as research articles or clinical notes. The NLP software tools CLAMP, cTAKES, and...

    Authors: Jacqueline Peng, Mengge Zhao, James Havrilla, Cong Liu, Chunhua Weng, Whitney Guthrie, Robert Schultz, Kai Wang and Yunyun Zhou

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):322

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  30. When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if th...

    Authors: Gaurav Rao, Salimur Choudhury, Pawan Lingras, David Savage and Vijay Mago

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):313

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  31. The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on the tasks. However, most existing methods suffer fr...

    Authors: Sundreen Asad Kamal, Changchang Yin, Buyue Qian and Ping Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):307

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  32. The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of a collected set of Twitter data, a model ...

    Authors: Joseph Tassone, Peizhi Yan, Mackenzie Simpson, Chetan Mendhe, Vijay Mago and Salimur Choudhury

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):304

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  33. Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemia. The avalanche of healthcare data is accelerating precision and personalized medicine. Artificial intelligence and algo...

    Authors: Jiancheng Ye, Liang Yao, Jiahong Shen, Rethavathi Janarthanam and Yuan Luo

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):295

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  34. Over 70% of Americans regularly experience stress. Chronic stress results in cancer, cardiovascular disease, depression, and diabetes, and thus is deeply detrimental to physiological health and psychological w...

    Authors: Russell Li and Zhandong Liu

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 11):285

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 11

  35. Sudden death in epilepsy (SUDEP) is a rare disease in US, however, they account for 8–17% of deaths in people with epilepsy. This disease involves complicated physiological patterns and it is still not clear w...

    Authors: Carroll Vance, Yejin Kim, Guoqiang Zhang, Samden Lhatoo, Shiqiang Tao, Licong Cui, Xiaojin Li and Xiaoqian Jiang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):330

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  36. Convolutional neural network (CNN) has achieved state-of-art performance in many electroencephalogram (EEG) related studies. However, the application of CNN in prediction of risk factors for sudden unexpected ...

    Authors: Cong Zhu, Yejin Kim, Xiaoqian Jiang, Samden Lhatoo, Hampson Jaison and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):329

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  37. Applying machine learning to healthcare sheds light on evidence-based decision making and has shown promises to improve healthcare by combining clinical knowledge and biomedical data. However, medicine and dat...

    Authors: Yejin Kim, Xiaoqian Jiang, Samden D. Lhatoo, Guo-Qiang Zhang, Shiqiang Tao, Licong Cui, Xiaojin Li, Robert D. Jolly III, Luyao Chen, Michael Phan, Cung Ha, Marijane Detranaltes and Jiajie Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):328

    Content type: Introduction

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  38. Sudden unexpected death in epilepsy (SUDEP) is a leading cause of premature death in patients with epilepsy. If timely assessment of SUDEP risk can be made, early interventions for optimized treatments might b...

    Authors: Bishal Lamichhane, Yejin Kim, Santiago Segarra, Guoqiang Zhang, Samden Lhatoo, Jaison Hampson and Xiaoqian Jiang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):327

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  39. Sudden Unexpected Death in Epilepsy (SUDEP) has increased in awareness considerably over the last two decades and is acknowledged as a serious problem in epilepsy. However, the scientific community remains unc...

    Authors: Juan C. Mier, Yejin Kim, Xiaoqian Jiang, Guo-Qiang Zhang and Samden Lhatoo

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 12):326

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 12

  40. The current COVID-19 pandemic has led to a surge of research activity. While this research provides important insights, the multitude of studies results in an increasing fragmentation of information. To ensure...

    Authors: Julian Sass, Alexander Bartschke, Moritz Lehne, Andrea Essenwanger, Eugenia Rinaldi, Stefanie Rudolph, Kai U. Heitmann, Jörg J. Vehreschild, Christof von Kalle and Sylvia Thun

    Citation: BMC Medical Informatics and Decision Making 2020 20:341

    Content type: Technical advance

    Published on:

  41. Effective planning for disease prevention and control requires accurate, adequately-analysed, interpreted and communicated data. In recent years, efforts have been put in strengthening health management inform...

    Authors: Susan F. Rumisha, Emanuel P. Lyimo, Irene R. Mremi, Patrick K. Tungu, Victor S. Mwingira, Doris Mbata, Sia E. Malekia, Catherine Joachim and Leonard E. G. Mboera

    Citation: BMC Medical Informatics and Decision Making 2020 20:340

    Content type: Research article

    Published on:

  42. Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality dat...

    Authors: Georges Nguefack-Tsague, Brian Bongwong Tamfon, Ismael Ngnie-Teta, Marie Nicole Ngoufack, Basile Keugoung, Serge Marcial Bataliack and Chanceline Bilounga Ndongo

    Citation: BMC Medical Informatics and Decision Making 2020 20:339

    Content type: Research article

    Published on:

  43. Pneumothorax (PTX) may cause a life-threatening medical emergency with cardio-respiratory collapse that requires immediate intervention and rapid treatment. The screening and diagnosis of pneumothorax usually ...

    Authors: Qingfeng Wang, Qiyu Liu, Guoting Luo, Zhiqin Liu, Jun Huang, Yuwei Zhou, Ying Zhou, Weiyun Xu and Jie-Zhi Cheng

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):317

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 14

  44. A various number of imaging modalities are available (e.g., magnetic resonance, x-ray, ultrasound, and biopsy) where each modality can reveal different structural aspects of tissues. However, the analysis of h...

    Authors: Sadiq Alinsaif and Jochen Lang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):312

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 14

  45. Biological and biomedical ontologies and terminologies are used to organize and store various domain-specific knowledge to provide standardization of terminology usage and to improve interoperability. The grow...

    Authors: Ankur Agrawal and Licong Cui

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):301

    Content type: Introduction

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  46. Medical image data, like most patient information, have a strong requirement for privacy and confidentiality. This makes transmitting medical image data, within an open network, problematic, due to the aforeme...

    Authors: Jian Li, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Bin Ma, Meihong Yang and Jingshan Huang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 14):297

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 14

  47. Summarization networks are compact summaries of ontologies. The “Big Picture” view offered by summarization networks enables to identify sets of concepts that are more likely to have errors than control concep...

    Authors: Ling Zheng, Hua Min, Yan Chen, Vipina Keloth, James Geller, Yehoshua Perl and George Hripcsak

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):296

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  48. Patients benefit from access to their medical records. However, clinical notes and letters are often difficult to comprehend for most lay people. Therefore, functionality was implemented in the patient portal ...

    Authors: Hugo J. T. van Mens, Mirte M. van Eysden, Remko Nienhuis, Johannes J. M. van Delden, Nicolette F. de Keizer and Ronald Cornet

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):278

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  49. The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentucky that receives data about incident cancer cases from all healthcare facilities in the state within 6 months of diagnosis...

    Authors: Shiqiang Tao, Ningzhou Zeng, Isaac Hands, Joseph Hurt-Mueller, Eric B. Durbin, Licong Cui and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):271

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 10

  50. Dyadic-based social networks analyses have been effective in a variety of behavioral- and health-related research areas. We introduce an ontology-driven approach towards social network analysis through encodin...

    Authors: Muhammad Amith, Kayo Fujimoto, Rebecca Mauldin and Cui Tao

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 10):269

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 10