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  1. Meta-analyses aggregate results of different clinical studies to assess the effectiveness of a treatment. Despite their importance, meta-analyses are time-consuming and labor-intensive as they involve reading ...

    Authors: Faith Wavinya Mutinda, Kongmeng Liew, Shuntaro Yada, Shoko Wakamiya and Eiji Aramaki
    Citation: BMC Medical Informatics and Decision Making 2022 22:158
  2. There are differences of opinion regarding the selection of the most practical usability evaluation method among different methods. The present study aimed to compare two expert-based evaluation methods in ord...

    Authors: Mehrdad Farzandipour, Ehsan Nabovati and Monireh Sadeqi Jabali
    Citation: BMC Medical Informatics and Decision Making 2022 22:157
  3. Sepsis is one of the most life-threatening circumstances for critically ill patients in the United States, while diagnosis of sepsis is challenging as a standardized criteria for sepsis identification is still...

    Authors: Hanyin Wang, Yikuan Li, Andrew Naidech and Yuan Luo
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):156

    This article is part of a Supplement: Volume 22 Supplement 2

  4. Opioid use disorder (OUD) has become an urgent health problem. People with OUD often experience comorbid medical conditions. Systematical approaches to identifying co-occurring conditions of OUD can facilitate...

    Authors: Yiheng Pan and Rong Xu
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):155

    This article is part of a Supplement: Volume 22 Supplement 2

  5. Poor quality routine data contributes to poor decision-making, inefficient resource allocation, loss of confidence in the health system, and may threaten the validity of impact evaluations. For several reasons...

    Authors: Nigusu Getachew, Bereket Erkalo and Muluneh Getachew Garedew
    Citation: BMC Medical Informatics and Decision Making 2022 22:154
  6. Fragile X syndrome (FXS), the most common inherited cause of intellectual disability and autism, is significantly underdiagnosed in the general population. Diagnosing FXS is challenging due to the heterogeneit...

    Authors: Arezoo Movaghar, David Page, Murray Brilliant and Marsha Mailick
    Citation: BMC Medical Informatics and Decision Making 2022 22:152
  7. Accurate data collection of healthcare-related adverse events provides a foundation for quality and health system improvement. The International Classification of Diseases for Mortality and Morbidity Statistic...

    Authors: Cathy A. Eastwood, Shahreen Khair and Danielle A. Southern
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):380

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

  8. In many hospitals, operating theatres are not used to their full potential due to the dynamic nature of demand and the complexity of theatre scheduling. Theatre inefficiencies may lead to access block and dela...

    Authors: Hamed Hassanzadeh, Justin Boyle, Sankalp Khanna, Barbara Biki and Faraz Syed
    Citation: BMC Medical Informatics and Decision Making 2022 22:151
  9. Hypertension is the fifth chronic disease causing death worldwide. The early prognosis and diagnosis are critical in the hypertension care process. Inspired by human philosophy, CBR is an empirical knowledge r...

    Authors: Ping Qi, Fucheng Wang, Yong Huang and Xiaoling Yang
    Citation: BMC Medical Informatics and Decision Making 2022 22:149
  10. We aim to develop and test performance of a semi-automated method (computerized query combined with manual review) for chart abstraction in the identification and characterization of surveillance radiology ima...

    Authors: Catherine Byrd, Ureka Ajawara, Ryan Laundry, John Radin, Prasha Bhandari, Ann Leung, Summer Han, Stephen M. Asch, Steven Zeliadt, Alex H. S. Harris and Leah Backhus
    Citation: BMC Medical Informatics and Decision Making 2022 22:148
  11. Knowledges graphs (KGs) serve as a convenient framework for structuring knowledge. A number of computational methods have been developed to generate KGs from biomedical literature and use them for downstream t...

    Authors: Jacqueline Peng, David Xu, Ryan Lee, Siwei Xu, Yunyun Zhou and Kai Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22(Suppl 2):147

    This article is part of a Supplement: Volume 22 Supplement 2

  12. Adverse drug events (ADEs) can be prevented by deploying clinical decision support systems (CDSS) that directly assist physicians, via computerized order entry systems, and clinical pharmacists performing medi...

    Authors: Christian Skalafouris, Jean-Luc Reny, Jérôme Stirnemann, Olivier Grosgurin, François Eggimann, Damien Grauser, Daniel Teixeira, Megane Jermini, Christel Bruggmann, Pascal Bonnabry and Bertrand Guignard
    Citation: BMC Medical Informatics and Decision Making 2022 22:146
  13. It is well known that decision aids can promote patients’ participation in decision-making, increase patients’ decision preparation and reduce decision conflict. The goal of this study is to explore the effect...

    Authors: Sitong Wang, Qingwen Lu, Zhixia Ye, Fang Liu, Ning Yang, Zeya Pan, Yu Li and Li Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:145
  14. To improve the treatment of painful Diabetic Peripheral Neuropathy (DPN) and associated co-morbidities, a better understanding of the pathophysiology and risk factors for painful DPN is required. Using harmoni...

    Authors: Georgios Baskozos, Andreas C. Themistocleous, Harry L. Hebert, Mathilde M. V. Pascal, Jishi John, Brian C. Callaghan, Helen Laycock, Yelena Granovsky, Geert Crombez, David Yarnitsky, Andrew S. C. Rice, Blair H. Smith and David L. H. Bennett
    Citation: BMC Medical Informatics and Decision Making 2022 22:144
  15. Research shows that people with stable angina need decision support when considering elective treatments. Initial treatment is with medicines but patients may gain further benefit with invasive percutaneous co...

    Authors: Emma Harris, Dwayne Conway, Angel Jimenez-Aranda, Jeremy Butts, Philippa Hedley-Takhar, Richard Thomson and Felicity Astin
    Citation: BMC Medical Informatics and Decision Making 2022 22:143
  16. Prognostic models that are accurate could help aid medical decision making. Large observational databases often contain temporal medical data for large and diverse populations of patients. It may be possible t...

    Authors: Jenna Marie Reps, Ross D. Williams, Martijn J. Schuemie, Patrick B. Ryan and Peter R. Rijnbeek
    Citation: BMC Medical Informatics and Decision Making 2022 22:142
  17. The rapid growth in the complexity of services and stringent quality requirements present a challenge to all healthcare facilities, especially from an economic perspective. The goal is to implement different s...

    Authors: Teresa Angela Trunfio, Arianna Scala, Cristiana Giglio, Giovanni Rossi, Anna Borrelli, Maria Romano and Giovanni Improta
    Citation: BMC Medical Informatics and Decision Making 2022 22:141
  18. Proper utilization of health data has paramount importance for health service management. However, it is less practiced in developing countries, including Ethiopia. Therefore, this study aimed to assess routin...

    Authors: Amanuel Benti Abdisa, Kifle Woldemichael Hajito, Dawit Wolde Daka, Meskerem Seboka Ergiba, Asaye Birhanu Senay, Ketema Lemma Abdi and Muluemebet Abera Wordofa
    Citation: BMC Medical Informatics and Decision Making 2022 22:140
  19. 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
  20. 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
  21. 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

  22. 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
  23. 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
  24. 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
  25. 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

  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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

  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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

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