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  1. Routinely collected administrative data is widely used for population-based research. However, although clinically very different, atrial septal defects (ASD) and patent foramen ovale (PFO) share a single diag...

    Authors: Laura Oliva, Eric Horlick, Bo Wang, Ella Huszti, Ruth Hall and Lusine Abrahamyan
    Citation: BMC Medical Informatics and Decision Making 2022 22:93
  2. Natural language processing (NLP) tasks in the health domain often deal with limited amount of labeled data due to high annotation costs and naturally rare observations. To compensate for the lack of training ...

    Authors: Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei and Yue Wang
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 9):377

    This article is part of a Supplement: Volume 21 Supplement 9

  3. The digital pathology images obtain the essential information about the patient’s disease, and the automated nuclei segmentation results can help doctors make better decisions about diagnosing the disease. Wit...

    Authors: Haider Ali, Imran ul Haq, Lei Cui and Jun Feng
    Citation: BMC Medical Informatics and Decision Making 2022 22:90
  4. Logistic regression (LR) is a widely used classification method for modeling binary outcomes in many medical data classification tasks. Researchers that collect and combine datasets from various data custodian...

    Authors: Ali Reza Ghavamipour, Fatih Turkmen and Xiaoqian Jiang
    Citation: BMC Medical Informatics and Decision Making 2022 22:89
  5. The diagnosis of headache disorders relies on the correct classification of individual headache attacks. Currently, this is mainly done by clinicians in a clinical setting, which is dependent on subjective sel...

    Authors: Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Jasper Vaneessen, Filip De Turck, Bruno Volckaert, Paul Boon, Koen Paemeleire, Sofie Van Hoecke and Femke Ongenae
    Citation: BMC Medical Informatics and Decision Making 2022 22:87
  6. The medication administration process is complex and consequently prone to errors. Closed Loop Medication Administration solutions aim to improve patient safety. We assessed the impact of a novel medication sc...

    Authors: Clare L. Tolley, Neil W. Watson, Andrew Heed, Jochen Einbeck, Suzanne Medows, Linda Wood, Layla Campbell and Sarah P. Slight
    Citation: BMC Medical Informatics and Decision Making 2022 22:86
  7. Coronary artery disease (CAD) is one of the most significant cardiovascular diseases that requires accurate angiography to diagnose. Angiography is an invasive approach involving risks like death, heart attack...

    Authors: Sahar Shariatnia, Majid Ziaratban, Abdolhalim Rajabi, Aref Salehi, Kobra Abdi Zarrini and Mohammadali Vakili
    Citation: BMC Medical Informatics and Decision Making 2022 22:85
  8. Clinical decision support (CDS) tools built using adult data do not typically perform well for children. We explored how best to leverage adult data to improve the performance of such tools. This study assesse...

    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 22:84

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:128

  9. Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based app...

    Authors: Naima Oubenali, Sabrina Messaoud, Alexandre Filiot, Antoine Lamer and Paul Andrey
    Citation: BMC Medical Informatics and Decision Making 2022 22:83
  10. Imbalance between positive and negative outcomes, a so-called class imbalance, is a problem generally found in medical data. Despite various studies, class imbalance has always been a difficult issue. The main...

    Authors: Lijue Liu, Xiaoyu Wu, Shihao Li, Yi Li, Shiyang Tan and Yongping Bai
    Citation: BMC Medical Informatics and Decision Making 2022 22:82
  11. Faecal incontinence (FI) is prevalent in 15–20% of elderly individuals and is frequently monitored in clinical trials and practice. Bowel diaries are the most common way to document FI, but, in clinical practi...

    Authors: Jens Lehmann, Isabel Schreyer, David Riedl, Michael Tschuggnall, Johannes M. Giesinger, Marjiana Ninkovic, Marcus Huth, Irmgard Kronberger, Gerhard Rumpold and Bernhard Holzner
    Citation: BMC Medical Informatics and Decision Making 2022 22:81
  12. Blockchain technology has the potential to revolutionize information sharing in companies. Many studies suggest using blockchain-powered platforms to replace existing mechanisms for health information exchange...

    Authors: Pouyan Esmaeilzadeh
    Citation: BMC Medical Informatics and Decision Making 2022 22:80
  13. One of the current major factors of not following up on the abnormal test results is the lack of information about the test results and missing interpretations. Clinical decision support systems (CDSS) can bec...

    Authors: Georgy Kopanitsa
    Citation: BMC Medical Informatics and Decision Making 2022 22:79
  14. The coronavirus (COVID-19) is a novel pandemic and recently we do not have enough knowledge about the virus behaviour and key performance indicators (KPIs) to assess the mortality risk forecast. However, using...

    Authors: José Luis Guadiana-Alvarez, Fida Hussain, Ruben Morales-Menendez, Etna Rojas-Flores, Arturo García-Zendejas, Carlos A. Escobar, Ricardo A. Ramírez-Mendoza and Jianhong Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:78
  15. Acute Rheumatic Fever (ARF) is a critically important condition for which there is no diagnostic test. Diagnosis requires the use of a set of criteria comprising clinical, laboratory, electrocardiographic and ...

    Authors: Elizabeth Fisher, Christian James, Diana Mosca, Bart J. Currie and Anna P. Ralph
    Citation: BMC Medical Informatics and Decision Making 2022 22:77
  16. The management of the use of iodinated contrast agents (ICA) in the computed tomography (CT) has clinical and financial impacts; however, the approaches in the current research setting have limitations with re...

    Authors: José Rodrigo M. Andrade and Luciano Costa Blomberg
    Citation: BMC Medical Informatics and Decision Making 2022 22:76
  17. Machine learning (ML) model is increasingly used to predict short-term outcome in critically ill patients, but the study for long-term outcome is sparse. We used explainable ML approach to establish 30-day, 90...

    Authors: Ming-Cheng Chan, Kai-Chih Pai, Shao-An Su, Min-Shian Wang, Chieh-Liang Wu and Wen-Cheng Chao
    Citation: BMC Medical Informatics and Decision Making 2022 22:75
  18. Authors: Ricardo A. M. Valentim, Gleyson J. P. Caldeira-Silva, Rodrigo D. da Silva, Gabriela A. Albuquerque, Ion G. M. de Andrade, Ana Isabela L. Sales-Moioli, Talita K. de B. Pinto, Angélica Espinosa Miranda, Leonardo J. Galvão-Lima, Agnaldo S. Cruz, Daniele M. S. Barros and Anna Giselle C. D. R. Rodrigues
    Citation: BMC Medical Informatics and Decision Making 2022 22:74

    The original article was published in BMC Medical Informatics and Decision Making 2022 22:40

  19. Pituitary adenomas are the most common type of pituitary disorders, which usually occur in young adults and often affect the patient’s physical development, labor capacity and fertility. Clinical free texts no...

    Authors: An Fang, Jiahui Hu, Wanqing Zhao, Ming Feng, Ji Fu, Shanshan Feng, Pei Lou, Huiling Ren and Xianlai Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:72
  20. Understanding the hospital EHR success rate has great benefits for hospitals. The present study aimed to 1-Propose an extended-ISSM framework and a questionnaire in a systematic manner for EHR evaluation based...

    Authors: Zahra Ebnehoseini, Hamed Tabesh, Amir Deghatipour and Mahmood Tara
    Citation: BMC Medical Informatics and Decision Making 2022 22:71
  21. In 2008, in the context of a complete computerisation of medical records, the Institut Català de la Salut (ICS, Catalan Health Institute) implemented a system in its electronic clinical workstation (ECW) to as...

    Authors: M. Àngels Pons-Mesquida, Míriam Oms-Arias, Albert Figueras and Eduard Diogène-Fadini
    Citation: BMC Medical Informatics and Decision Making 2022 22:70
  22. MiRNA is a class of non-coding single-stranded RNA molecules with a length of approximately 22 nucleotides encoded by endogenous genes, which can regulate the expression of other genes. Therefore, it is very i...

    Authors: Han Han, Rong Zhu, Jin-Xing Liu and Ling-Yun Dai
    Citation: BMC Medical Informatics and Decision Making 2022 22:69
  23. Using participatory methods to engage end-users in the development and design of eHealth is important to understand and incorporate their needs and context. Within participatory research, recent social distanc...

    Authors: Sara Lundell, Annika Toots, Pernilla Sönnerfors, Alexandra Halvarsson and Karin Wadell
    Citation: BMC Medical Informatics and Decision Making 2022 22:68
  24. Information on the use of change management models to guide electronic medical records (EMR) implementation is limited. This case study describes the leadership aspects of a large-scale EMR implementation usin...

    Authors: Yaseen M Arabi, Abdullah Ali Al Ghamdi, Mohamed Al-Moamary, Abdullah Al Mutrafy, Raed H. AlHazme and Bandar Abdulmohsen Al Knawy
    Citation: BMC Medical Informatics and Decision Making 2022 22:66
  25. In this study we sought to explore the possibility of using patient centered care (PCC) documentation as a measure of the delivery of PCC in a health system.

    Authors: Jorie M. Butler, Bryan Gibson, Olga V. Patterson, Laura J. Damschroder, Corrinne H. Halls, Daniel W. Denhalter, Matthew H. Samore, Haojia Li, Yue Zhang and Scott L. DuVall
    Citation: BMC Medical Informatics and Decision Making 2022 22:65
  26. Monitoring progress using appropriate data, with a functional health information system (HIS), believed to be very crucial for success of immunization program. Baseline study was conducted to assess, immunizat...

    Authors: Abebaw Worku, Hibret Alemu, Hiwot Belay, Afrah Mohammedsanni, Wubshet Denboba, Frehiwot Mulugeta, Shemsedin Omer, Biruk Abate, Mesoud Mohammed, Mohammed Ahmed, Yakob Wondarad and Meskerem Abebaw
    Citation: BMC Medical Informatics and Decision Making 2022 22:64
  27. Evaluation of new treatment policies is often costly and challenging in complex conditions, such as hepatitis C virus (HCV) treatment, or in limited-resource settings. We sought to identify hypothetical polici...

    Authors: Brandon Oselio, Amit G. Singal, Xuefei Zhang, Tony Van, Boang Liu, Ji Zhu and Akbar K. Waljee
    Citation: BMC Medical Informatics and Decision Making 2022 22:63
  28. An aging population with a burden of chronic diseases puts increasing pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be useful in optimizing the allocation of medica...

    Authors: Zhixu Hu, Hang Qiu, Liya Wang and Minghui Shen
    Citation: BMC Medical Informatics and Decision Making 2022 22:62
  29. Modernizing medical education by using artificial intelligence and other new technologies to improve the clinical thinking ability of medical students is an important research topic in recent years. Prominent ...

    Authors: Mengying Wang, Zhen Sun, Mo Jia, Yan Wang, Heng Wang, Xingxing Zhu, Lianzhong Chen and Hong Ji
    Citation: BMC Medical Informatics and Decision Making 2022 22:60
  30. Venous thromboembolism (VTE) risk assessment in surgical patients is important for the appropriate diagnosis and treatment of patients. The commonly used Caprini model is limited by its inadequate ability to d...

    Authors: Peng Wang, Yao Wang, Zhaoying Yuan, Fei Wang, Hongqian Wang, Ying Li, Chengliang Wang and Linfeng Li
    Citation: BMC Medical Informatics and Decision Making 2022 22:59
  31. The prevalence of infertility in Iran is higher than the world average. Furthermorte, education and nutrition are among the effective factors in improving the quality of life of women with infertility. Accordi...

    Authors: Mostafa Langarizadeh, Seyed Ali Fatemi Aghda and Azadeh Nadjarzadeh
    Citation: BMC Medical Informatics and Decision Making 2022 22:58
  32. Acute myeloid leukemia (AML) is a genetically heterogeneous blood disorder. AML patients are associated with a relatively poor overall survival. The objective of this study was to establish a machine learning ...

    Authors: Binbin Lai, Yanli Lai, Yanli Zhang, Miao Zhou and Guifang OuYang
    Citation: BMC Medical Informatics and Decision Making 2022 22:57
  33. Personalized medicine tailors care based on the patient’s or pathogen’s genotypic and phenotypic characteristics. An automated Clinical Decision Support System (CDSS) could help translate the genotypic and phe...

    Authors: Lennert Verboven, Toon Calders, Steven Callens, John Black, Gary Maartens, Kelly E. Dooley, Samantha Potgieter, Robin M. Warren, Kris Laukens and Annelies Van Rie
    Citation: BMC Medical Informatics and Decision Making 2022 22:56
  34. Overcrowding is a serious problem that impacts the ability to provide optimal level of care in a timely manner. High patient volume is known to increase the boarding time at the emergency department (ED), as w...

    Authors: Manuel Tello, Eric S. Reich, Jason Puckey, Rebecca Maff, Andres Garcia-Arce, Biplab Sudhin Bhattacharya and Felipe Feijoo
    Citation: BMC Medical Informatics and Decision Making 2022 22:55
  35. Uncertainty occurrence of disasters requires special attention and a shortage of health care specialists is a challenge for health care systems; therefore, the use of telenursing care during a disaster is an a...

    Authors: Mahdiye Nejadshafiee, Mahmoud Nekoei-Moghadam, Kambiz Bahaadinbeigy, Hamidreza Khankeh and Hojjat Sheikhbardsiri
    Citation: BMC Medical Informatics and Decision Making 2022 22:54
  36. Adherence to disease-modifying therapy is important in patients with Multiple Sclerosis (MS) to increase the positive outcomes and improve the quality of life. This study aimed to determine the effects of Cont...

    Authors: Seyed Mojtaba Kazemi, Mahnaz Rakhshan, Mozhgan Rivaz and Sadegh Izadi
    Citation: BMC Medical Informatics and Decision Making 2022 22:53
  37. Evidence shows benefit of digital technology for people living with human immunodeficiency virus on antiretroviral therapy adherence and retention in care, however, scalability and sustainability have scarcely...

    Authors: Agnes Bwanika Naggirinya, Eunice L. Kyomugisha, Maria S. Nabaggala, Benson Nasasira, Josephine Akirana, Elizabeth Oseku, Agnes Kiragga, Barbara Castelnuovo, Rachel L. King, Elly Katabira, Dathan M. Byonanebye, Mohammed Lamorde and Rosalind Parkes-Ratanshi
    Citation: BMC Medical Informatics and Decision Making 2022 22:52
  38. Prescription opioid misuse is a serious national crisis; in 2018 the top drugs involved in prescription overdose deaths included pain medications (opioids), benzodiazepines, and stimulants. Health information ...

    Authors: Taylor L. Watterson, Jamie A. Stone, Aaron Gilson, Roger Brown, Ka Z. Xiong, Anthony Schiefelbein, Edmond Ramly, Peter Kleinschmidt, Michael Semanik, Lauren Craddock, Samantha I. Pitts, Taylor Woodroof and Michelle A. Chui
    Citation: BMC Medical Informatics and Decision Making 2022 22:50
  39. ICD-11 provides a promising new way to capture healthcare-related harm or injury. In this paper, we elaborate on the framework for describing healthcare-related events where there is a presumed causal link bet...

    Authors: Danielle A. Southern, James E. Harrison, Patrick S. Romano, Marie-Annick Le Pogam, Harold A. Pincus and William A. Ghali
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 6):376

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

  40. Analysing distributed medical data is challenging because of data sensitivity and various regulations to access and combine data. Some privacy-preserving methods are known for analyzing horizontally-partitione...

    Authors: Bart Kamphorst, Thomas Rooijakkers, Thijs Veugen, Matteo Cellamare and Daan Knoors
    Citation: BMC Medical Informatics and Decision Making 2022 22:49
  41. Clinical decision support systems are implemented in many hospitals to prevent medication errors and associated harm. They are however associated with a high burden of false positive alerts and alert fatigue. ...

    Authors: Greet Van De Sijpe, Charlotte Quintens, Karolien Walgraeve, Eva Van Laer, Jens Penny, Greet De Vlieger, Rik Schrijvers, Paul De Munter, Veerle Foulon, Minne Casteels, Lorenz Van der Linden and Isabel Spriet
    Citation: BMC Medical Informatics and Decision Making 2022 22:48
  42. Mobile applications are among effective learning tools and have a significant role in transferring information and knowledge to nurses. The current study was carried to identify the factors affecting nurses’ u...

    Authors: Soghra Nezamdoust, Mohammadhiwa Abdekhoda and Azad Rahmani
    Citation: BMC Medical Informatics and Decision Making 2022 22:47
  43. In this study, we determine the feasibility of using electronic medical record (EMR) data to determine obesity prevalence at the census tract level in El Paso County, Texas, located on the U.S.-Mexico border.

    Authors: Jennifer J. Salinas, Jon Sheen, Navkiran Shokar, Justin Wright, Gerardo Vazquez and Ogechika Alozie
    Citation: BMC Medical Informatics and Decision Making 2022 22:46
  44. Promoting patient participation in decision-making aims to maintain the partnership between doctors and patients, reflect the patients’ goals, values, and preferences, and achieve patient-centered care. Realiz...

    Authors: YaNing Zang, ShanShan Liu and YuHong Chen
    Citation: BMC Medical Informatics and Decision Making 2022 22:45
  45. Recent publications reveal shortcomings in evidence review and summarization methods for patient decision aids. In the large-scale “Share to Care (S2C)” Shared Decision Making (SDM) project at the University H...

    Authors: Marion Danner, Marie Debrouwere, Anne Rummer, Kai Wehkamp, Jens Ulrich Rüffer, Friedemann Geiger, Robert Wolff, Karoline Weik and Fueloep Scheibler
    Citation: BMC Medical Informatics and Decision Making 2022 22:44
  46. Accumulated electronic data from a wide variety of clinical settings has been processed using a range of informatics methods to determine the sequence of care activities experienced by patients. The “as is” or...

    Authors: Matthew Manktelow, Aleeha Iftikhar, Magda Bucholc, Michael McCann and Maurice O’Kane
    Citation: BMC Medical Informatics and Decision Making 2022 22:43

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