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  1. The COVID-19 pandemic overwhelmed healthcare systems with severe shortages in hospital resources such as ICU beds, specialized doctors, and respiratory ventilators. In this situation, reducing COVID-19 readmis...

    Authors: Mostafa Shanbehzadeh, Azita Yazdani, Mohsen Shafiee and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2022 22:139
  2. Acute kidney injury (AKI) is a serious complication after cardiac surgery. We derived and internally validated a Machine Learning preoperative model to predict cardiac surgery-associated AKI of any severity and c...

    Authors: Yelena Petrosyan, Thierry G. Mesana and Louise Y. Sun
    Citation: BMC Medical Informatics and Decision Making 2022 22:137
  3. A new coding feature introduced with ICD-11, the 11th revision of the International Classification of Diseases (ICD), is postcoordination, which supports combining (linking) two or more codes into a cluster th...

    Authors: Kristy Mabon, Olafr Steinum and Christopher G. Chute
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):379

    This article is part of a Supplement: Volume 21 Supplement 6

  4. Optimal intervals between repeat colonoscopies could improve patient outcomes and reduce costs. We evaluated: (a) concordance between clinician and guideline recommended colonoscopy screening intervals in Winn...

    Authors: Leigh Anne Shafer, Gayle Restall, Alexandria Simms, Eugene Lee, Jason Park and Harminder Singh
    Citation: BMC Medical Informatics and Decision Making 2022 22:136
  5. To improve cancer care in Indiana, a telementoring program using the Extension for Community Healthcare Outcomes (ECHO) model was introduced in September 2019 to promote best-practice cancer prevention, screen...

    Authors: Zheng Z. Milgrom, Tyler S. Severance, Caitlin M. Scanlon, Anyé T. Carson, Andrea D. Janota, Terry A. Vik, Joan M. Duwve, Brian E. Dixon and Eneida A. Mendonca
    Citation: BMC Medical Informatics and Decision Making 2022 22:135
  6. Emergency Department (ED) overcrowding is a chronic international issue that is associated with adverse treatment outcomes. Accurate forecasts of future service demand would enable intelligent resource allocat...

    Authors: Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen and Antti Roine
    Citation: BMC Medical Informatics and Decision Making 2022 22:134
  7. The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. Th...

    Authors: Christopher G. Chute and Can Çelik
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):378

    This article is part of a Supplement: Volume 21 Supplement 6

  8. One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Injury (AKI), which could have a negative impact on subsequent renal function and occurs in up to 24.3% of patients undergoin...

    Authors: Teddy Lazebnik, Zaher Bahouth, Svetlana Bunimovich-Mendrazitsky and Sarel Halachmi
    Citation: BMC Medical Informatics and Decision Making 2022 22:133
  9. The healthcare sector poses many strategic, tactic and operational planning questions. Due to the historically grown structures, planning is often locally confined and much optimization potential is foregone.

    Authors: Neele Leithäuser, Dennis Adelhütte, Kristin Braun, Christina Büsing, Martin Comis, Timo Gersing, Sebastian Johann, Arie M. C. A. Koster, Sven O. Krumke, Frauke Liers, Eva Schmidt, Johanna Schneider, Manuel Streicher, Sebastian Tschuppik and Sophia Wrede
    Citation: BMC Medical Informatics and Decision Making 2022 22:132
  10. The COVID-19 pandemic has caused significant morbidity and mortality. To mitigate its spread, members in the general population were prompted to apply significant behavioral changes. This required an effective...

    Authors: Susanne Georgsson and Tommy Carlsson
    Citation: BMC Medical Informatics and Decision Making 2022 22:131
  11. People with moderate to severe depression in pregnancy must weigh potential risks of untreated or incompletely treated depression against the small, but uncertain risks of fetal antidepressant drug exposure. C...

    Authors: Neesha Hussain-Shamsy, Sarah Somerton, Donna E. Stewart, Sophie Grigoriadis, Kelly Metcalfe, Tim F. Oberlander, Carrie Schram, Valerie H. Taylor, Cindy-Lee Dennis and Simone N. Vigod
    Citation: BMC Medical Informatics and Decision Making 2022 22:130
  12. Patients and their loved ones often report symptoms or complaints of cognitive decline that clinicians note in free clinical text, but no structured screening or diagnostic data are recorded. These symptoms/co...

    Authors: Robert B. Penfold, David S. Carrell, David J. Cronkite, Chester Pabiniak, Tammy Dodd, Ashley MH Glass, Eric Johnson, Ella Thompson, H. Michael Arrighi and Paul E. Stang
    Citation: BMC Medical Informatics and Decision Making 2022 22:129
  13. Authors: Paul Sabharwal, Jillian H. Hurst, Rohit Tejwani, Kevin T. Hobbs, Jonathan C. Routh and Benjamin A. Goldstein
    Citation: BMC Medical Informatics and Decision Making 2022 22:128

    The original article was published in BMC Medical Informatics and Decision Making 2022 22:84

  14. To describe and evaluate a clinical decision support system (CDSS) for empirical antibiotic therapy using a systematic framework.

    Authors: H. Akhloufi, H. van der Sijs, D. C. Melles, C. P. van der Hoeven, M. Vogel, J. W. Mouton and A. Verbon
    Citation: BMC Medical Informatics and Decision Making 2022 22:127
  15. Nowadays, patients have access to all types of health information on the internet, influencing their decision-making process. The Middle East and North Africa (MENA) region consists of 22 countries with an est...

    Authors: Zahraa Jasem, Zainab AlMeraj and Dari Alhuwail
    Citation: BMC Medical Informatics and Decision Making 2022 22:126
  16. Epilepsy, multiple sclerosis (MS) and depression are long term, central nervous system disorders which have a significant impact on everyday life. Evaluating symptoms of these conditions is problematic and typ...

    Authors: J. A. Andrews, M. P. Craven, A. R. Lang, B. Guo, R. Morriss and C. Hollis
    Citation: BMC Medical Informatics and Decision Making 2022 22:125
  17. An emergency response to a medical situation is generally considered to be a risk decision-making problem. When an emergency event occurs, it makes sense to take into account more than one decision maker’s opi...

    Authors: Jiayi Sun, Xiang Zhou, Juan Zhang, Kemei Xiang, Xiaoxiong Zhang and Ling Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:124
  18. Coronavirus outbreak (SARS-CoV-2) has become a serious threat to human society all around the world. Due to the rapid rate of disease outbreaks and the severe shortages of medical resources, predicting COVID-1...

    Authors: Negar Bakhtiarvand, Mehdi Khashei, Mehdi Mahnam and Somayeh Hajiahmadi
    Citation: BMC Medical Informatics and Decision Making 2022 22:123
  19. Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous negative impact on human survival. However, it is a challenging task to recognize tens of thousands of histopathologi...

    Authors: Xiaogang Dong, Min Li, Panyun Zhou, Xin Deng, Siyu Li, Xingyue Zhao, Yi Wu, Jiwei Qin and Wenjia Guo
    Citation: BMC Medical Informatics and Decision Making 2022 22:122
  20. Venous thromboembolism (VTE) causes significant mortality and morbidity in hospitalised patients. Risk factors for VTE are well known and there are validated risk assessment tools to support the use of prophyl...

    Authors: S. Gallier, A. Topham, P. Nightingale, M. Garrick, I. Woolhouse, M. A. Berry, T. Pankhurst, E. Sapey and S. Ball
    Citation: BMC Medical Informatics and Decision Making 2022 22:121
  21. Technological innovation in healthcare is often assumed to contribute to the quality of care. However, the question how technology implementation impacts healthcare workers has received little empirical attent...

    Authors: Gepke L. Veenstra, Eric F. Rietzschel, Eric Molleman, Erik Heineman, Jan Pols and Gera A. Welker
    Citation: BMC Medical Informatics and Decision Making 2022 22:120
  22. Critical trauma patients are particularly prone to increased mortality risk; hence, an accurate prediction of their conditions enables early identification of patients' mortality status. Thus, we aimed to deve...

    Authors: Qi Chen, Bihan Tang, Jiaqi Song, Ying Jiang, Xinxin Zhao, Yiming Ruan, Fangjie Zhao, Guosheng Wu, Tao Chen and Jia He
    Citation: BMC Medical Informatics and Decision Making 2022 22:119
  23. Smartphone technology can support paperless reporting of adverse drug reactions (ADRs). The aims of this study were to systematically assess smartphone ADR-reporting applications, understand their qualitative ...

    Authors: Ayako Fukushima, Noha Iessa, Madhava Ram Balakrishnan and Shanthi Narayan Pal
    Citation: BMC Medical Informatics and Decision Making 2022 22:118
  24. Intensive Care Unit (ICU) readmissions in patients with heart failure (HF) result in a significant risk of death and financial burden for patients and healthcare systems. Prediction of at-risk patients for rea...

    Authors: M. Pishgar, J. Theis, M. Del Rios, A. Ardati, H. Anahideh and H. Darabi
    Citation: BMC Medical Informatics and Decision Making 2022 22:117
  25. Bio-entity Coreference Resolution (CR) is a vital task in biomedical text mining. An important issue in CR is the differential representation of identical mentions as their similar representations may make the...

    Authors: Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong and Chen Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:116
  26. While multiple randomized controlled trials (RCTs) are available, their results may not be generalizable to older, unhealthier or less-adherent patients. Observational data can be used to predict outcomes and ...

    Authors: Jisoo Lee, Sulyun Lee, W. Nick Street and Linnea A. Polgreen
    Citation: BMC Medical Informatics and Decision Making 2022 22:115
  27. Health providers create Electronic Health Records (EHRs) to describe the conditions and procedures used to treat their patients. Medical notes entered by medical staff in the form of free text are a particular...

    Authors: Ashis Kumar Chanda, Tian Bai, Ziyu Yang and Slobodan Vucetic
    Citation: BMC Medical Informatics and Decision Making 2022 22:114
  28. The recent explosion of cancer genomics provides extensive information about mutations and gene expression changes in cancer. However, most of the identified gene mutations are not clinically utilized. It rema...

    Authors: Young Keun Lee, Jisoo Kim and Sung Wook Seo
    Citation: BMC Medical Informatics and Decision Making 2022 22:113
  29. Wearables, as small portable computer systems worn on the body, can track user fitness and health data, which can be used to customize health insurance contributions individually. In particular, insured indivi...

    Authors: Daniel Neumann, Victor Tiberius and Florin Biendarra
    Citation: BMC Medical Informatics and Decision Making 2022 22:112
  30. Cancer treatment requires a multidisciplinary approach. Therefore, multidisciplinary team meetings (MDTMs) have been widely used to determine the direction of treatment. However, no standard provisions exist f...

    Authors: Mayumi Ichikawa, Ken Uematsu, Natsuko Yano, Masayoshi Yamada, Takashi Ono, Shohei Kawashiro, Hiroko Akamatsu, Yasuhito Hagiwara, Hiraku Sato and Kenji Nemoto
    Citation: BMC Medical Informatics and Decision Making 2022 22:111
  31. In the early stages of the COVID-19 pandemic our institution was interested in forecasting how long surgical patients receiving elective procedures would spend in the hospital. Initial examination of our model...

    Authors: Zhenhui Xu, Congwen Zhao, Charles D. Scales Jr, Ricardo Henao and Benjamin A. Goldstein
    Citation: BMC Medical Informatics and Decision Making 2022 22:110
  32. The machine learning algorithm (MLA) was implemented to establish an optimal model to predict the no reflow (NR) process and in-hospital death that occurred in ST-elevation myocardial infarction (STEMI) patien...

    Authors: Lianxiang Deng, Xianming Zhao, Xiaolin Su, Mei Zhou, Daizheng Huang and Xiaocong Zeng
    Citation: BMC Medical Informatics and Decision Making 2022 22:109
  33. Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are unclear. There is a critical need to develop methods to identify child...

    Authors: Jillian H. Hurst, Congwen Zhao, Haley P. Hostetler, Mohsen Ghiasi Gorveh, Jason E. Lang and Benjamin A. Goldstein
    Citation: BMC Medical Informatics and Decision Making 2022 22:108
  34. Authors: Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni and Julien Grosjean
    Citation: BMC Medical Informatics and Decision Making 2022 22:107

    The original article was published in BMC Medical Informatics and Decision Making 2022 22:34

  35. There is little evidence regarding the adoption and intention of using mobile apps by health care professionals (HCP) and the effectiveness of using mobile apps among physicians is still unclear. To address th...

    Authors: Zahra Meidani, Fatemeh Atoof, Zohre Mobarak, Ehsan Nabovati, Reza Daneshvar Kakhki, Ebrahim Kouchaki, Esmaeil Fakharian, Ali Mohammad Nickfarjam and Felix Holl
    Citation: BMC Medical Informatics and Decision Making 2022 22:106
  36. Telemedicine has been widely used for long-term care and self-management in patients with chronic disease, but there is no consensus regarding the effect of telemedicine on chronic disease management. The aim ...

    Authors: Yue Ma, Chongbo Zhao, Yan Zhao, Jiahong Lu, Hong Jiang, Yanpei Cao and Yafang Xu
    Citation: BMC Medical Informatics and Decision Making 2022 22:105
  37. Since the first case of HIV infection was reported in China in 1985, the incidence and mortality of AIDS have been increasing rapidly, which has caused serious damage to the life and health of people in China ...

    Authors: Lei Yuan, Shiyin Tian, Zhe Zhao, Pei Liu, Lijuan Liu and Jinhai Sun
    Citation: BMC Medical Informatics and Decision Making 2022 22:104
  38. Clinical data repositories (CDR) including electronic health record (EHR) data have great potential for outcome prediction and risk modeling. We built a prediction tool integrated with CDR based on pattern dis...

    Authors: Yuxi Li, Tak-Ming Chan, Jinghan Feng, Liang Tao, Jie Jiang, Bo Zheng, Yong Huo and Jianping Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:103
  39. There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (che...

    Authors: Vincent M. D’Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin and Joseph Y. Lo
    Citation: BMC Medical Informatics and Decision Making 2022 22:102
  40. To determine the frequency of clinical decision support system (CDSS) medication-related alerts generated, accepted, or overridden, to assess appropriateness of alert display and overrides, and to characterise...

    Authors: Jamilah Ahmed Alsaidan, Jane Portlock, Sondus I. Ata, Hisham S. Aljadhey and Bryony Dean Franklin
    Citation: BMC Medical Informatics and Decision Making 2022 22:101
  41. Improvements to the primary prevention of physical health illnesses like diabetes in the general population have not been mirrored to the same extent in people with serious mental illness (SMI). This work eval...

    Authors: Dipen Patel, Yamiko J Msosa, Tao Wang, Omar G Mustafa, Siobhan Gee, Julie Williams, Angus Roberts, Richard JB Dobson and Fiona Gaughran
    Citation: BMC Medical Informatics and Decision Making 2022 22:100
  42. Following the coronavirus disease 2019 (COVID-19) pandemic, the health authorities recommended the implementation of strict social distancing and complete lockdown regulations to reduce disease spread. The pha...

    Authors: Khadijeh Moulaei, Mostafa Shanbehzadeh, Kambiz Bahaadinbeigy and Hadi Kazemi-Arpanahi
    Citation: BMC Medical Informatics and Decision Making 2022 22:99
  43. Electronic sources (eSources) can improve data quality and reduce clinical trial costs. Our team has developed an innovative eSource record (ESR) system in China. This study aims to evaluate the efficiency, qu...

    Authors: Bin Wang, Xinbao Hao, Xiaoyan Yan, Junkai Lai, Feifei Jin, Xiwen Liao, Hongju Xie and Chen Yao
    Citation: BMC Medical Informatics and Decision Making 2022 22:98
  44. Despite the rapid expansion of electronic health records, the use of computer mouse and keyboard, challenges the data entry into these systems. Speech recognition software is one of the substitutes for the mou...

    Authors: Sahar Peivandi, Leila Ahmadian, Jamileh Farokhzadian and Yunes Jahani
    Citation: BMC Medical Informatics and Decision Making 2022 22:96
  45. The aim of this study is to develop and assess usability of a web-based patient-tailored tool to support adherence to urate-lowering therapy (ULT) among gout patients in a clinical setting.

    Authors: Ritch te Kampe, Annelies Boonen, Tim L. Jansen, Jan Mathis Elling, Marcel Flendrie, Yvonne van Eijk-Hustings, Matthijs Janssen, Caroline van Durme and Hein de Vries
    Citation: BMC Medical Informatics and Decision Making 2022 22:95
  46. Most people receive most of their health care in in Australia in primary care, yet researchers and policymakers have limited access to resulting clinical data. Widening access to primary care data and linking ...

    Authors: Rachel Canaway, Douglas Boyle, Jo-Anne Manski-Nankervis and Kathleen Gray
    Citation: BMC Medical Informatics and Decision Making 2022 22:94
  47. Stroke is a disease characterized by sudden cerebral ischemia and is the second leading cause of death worldwide. We aimed to develop and validate a nomogram model to predict mortality in intensive care unit p...

    Authors: Xiao-Dan Li and Min-Min Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:92
  48. State cancer prevention and control programs rely on public health surveillance data to set objectives to improve cancer prevention and control, plan interventions, and evaluate state-level progress towards ac...

    Authors: Sarah Conderino, Stefanie Bendik, Thomas B. Richards, Claudia Pulgarin, Pui Ying Chan, Julie Townsend, Sungwoo Lim, Timothy R. Roberts and Lorna E. Thorpe
    Citation: BMC Medical Informatics and Decision Making 2022 22:91

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