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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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

  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. Online patient portals have the potential to improve patient engagement and health care outcomes. This is especially true among rural patient populations that may live far from their health care providers and ...

    Authors: Stephen K. Liu, Annette E. Osborn, Sigall Bell, John N. Mecchella, Shoshana Hort and John A. Batsis
    Citation: BMC Medical Informatics and Decision Making 2022 22:42
  20. Predictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This study uses actual data from a hospital. A multiple infectious dise...

    Authors: Mengying Wang, Zhenhao Wei, Mo Jia, Lianzhong Chen and Hong Ji
    Citation: BMC Medical Informatics and Decision Making 2022 22:41
  21. Syphilis is a sexually transmitted disease (STD) caused by Treponema pallidum subspecies pallidum. In 2016, it was declared an epidemic in Brazil due to its high morbidity and mortality rates, mainly in cases ...

    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 E. 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 22:40

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:74

  22. Coronary heart disease (CHD) has become the leading cause of death and one of the most serious epidemic diseases worldwide. CHD is characterized by urgency, danger and severity, and dynamic treatment strategie...

    Authors: Haihong Guo, Jiao Li, Hongyan Liu and Jun He
    Citation: BMC Medical Informatics and Decision Making 2022 22:39
  23. In the last decade, a lot of attention has been given to develop artificial intelligence (AI) solutions for mental health using machine learning. To build trust in AI applications, it is crucial for AI systems...

    Authors: Dalia Jaber, Hazem Hajj, Fadi Maalouf and Wassim El-Hajj
    Citation: BMC Medical Informatics and Decision Making 2022 22:38
  24. One of the primary obstacles to measure clinical quality is the lack of configurable solutions to make computers understand and compute clinical quality indicators. The paper presents a solution that can help ...

    Authors: Mengyang Li, Hailing Cai, Yunlong Zhi, Zehai Fu, Huilong Duan and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2022 22:37
  25. Early detection and prediction of type two diabetes mellitus incidence by baseline measurements could reduce associated complications in the future. The low incidence rate of diabetes in comparison with non-di...

    Authors: Somayeh Sadeghi, Davood Khalili, Azra Ramezankhani, Mohammad Ali Mansournia and Mahboubeh Parsaeian
    Citation: BMC Medical Informatics and Decision Making 2022 22:36
  26. For clinical decision-making, an estimate of remaining lifetime is needed to assess benefit against harm of a treatment during the remaining lifespan. Here, we describe how to predict life expectancy based on ...

    Authors: Mieke Van Hemelrijck, Eugenio Ventimiglia, David Robinson, Rolf Gedeborg, Lars Holmberg, Pär Stattin and Hans Garmo
    Citation: BMC Medical Informatics and Decision Making 2022 22:35
  27. Unstructured data from electronic health records represent a wealth of information. Doc’EDS is a pre-screening tool based on textual and semantic analysis. The Doc’EDS system provides a graphic user interface ...

    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 22:34

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:107

  28. Semantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they have the capacity to enable and enhance ‘patient-like me’ analyses, autom...

    Authors: Luke T. Slater, Sophie Russell, Silver Makepeace, Alexander Carberry, Andreas Karwath, John A. Williams, Hilary Fanning, Simon Ball, Robert Hoehndorf and Georgios V. Gkoutos
    Citation: BMC Medical Informatics and Decision Making 2022 22:33
  29. Accurate prediction of healthcare costs is important for optimally managing health costs. However, methods leveraging the medical richness from data such as health insurance claims or electronic health records...

    Authors: Philipp Drewe-Boss, Dirk Enders, Jochen Walker and Uwe Ohler
    Citation: BMC Medical Informatics and Decision Making 2022 22:32
  30. Temporal pattern discovery (TPD) is a method of signal detection using electronic healthcare databases, serving as an alternative to spontaneous reporting of adverse drug events. Here, we aimed to replicate an...

    Authors: M. Lavallee, T. Yu, L. Evans, M. Van Hemelrijck, C. Bosco, A. Golozar and A. Asiimwe
    Citation: BMC Medical Informatics and Decision Making 2022 22:31
  31. Mobile applications (apps) have started to be used for workplace health promotion (WHP). However, the factors that lead to the usage of apps in the workplace from the end-user perspective remain unclear.

    Authors: Maren Junker, Markus Böhm, Mareike Franz, Tobias Fritsch and Helmut Krcmar
    Citation: BMC Medical Informatics and Decision Making 2022 22:30
  32. Decisions aids (DA) can support patients to make informed decisions about screening tests. This study describes the development and initial evaluation of a lung cancer screening (LCS) DA targeted towards survi...

    Authors: Rachel Broadbent, Tania Seale, Christopher J. Armitage and Kim Linton
    Citation: BMC Medical Informatics and Decision Making 2022 22:29
  33. Internet technologies have become important for older adults to not only seek, understand, and evaluate information on health management but also apply and share acquired knowledge. Despite the disparity in e-...

    Authors: Sun Ok Jung, Yoon Hee Son and Eunju Choi
    Citation: BMC Medical Informatics and Decision Making 2022 22:28
  34. Early prediction of noninvasive ventilation failure is of great significance for critically ill ICU patients to escalate or change treatment. Because clinically collected data are highly time-series correlated...

    Authors: Na Liang, Chengliang Wang, Jun Duan, Xin Xie and Yu Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:27
  35. The deployment of digital health systems may be impeded by barriers that are, or are linked to underlying enduring institutions. Attempting to challenge the barriers without addressing the underpinning institu...

    Authors: Dudzai Mureyi
    Citation: BMC Medical Informatics and Decision Making 2022 22:26
  36. Assessing prognosis is challenging for many physicians in various medical fields. Research shows that physicians who perform disability assessments consider six areas when evaluating a prognosis: disease, trea...

    Authors: Sylvia P. Snoeck-Krygsman, Frederieke G. Schaafsma, Birgit H. P. M. Donker-Cools, Carel T. J. Hulshof, Lyanne P. Jansen, René J. Kox and Jan L. Hoving
    Citation: BMC Medical Informatics and Decision Making 2022 22:25
  37. Currently, one of the commonly used methods for disseminating electronic health record (EHR)-based phenotype algorithms is providing a narrative description of the algorithm logic, often accompanied by flowcha...

    Authors: Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank Mentch…
    Citation: BMC Medical Informatics and Decision Making 2022 22:23
  38. Various questionnaires are used for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health (mHealth) services. Using the best one to meet the needs of an mHealth study is a chall...

    Authors: Sadrieh Hajesmaeel-Gohari, Firoozeh Khordastan, Farhad Fatehi, Hamidreza Samzadeh and Kambiz Bahaadinbeigy
    Citation: BMC Medical Informatics and Decision Making 2022 22:22
  39. A growing body of research has shown that machine learning (ML) can be a useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest (OHCA) survival outcomes. However, ther...

    Authors: Samuel Harford, Marina Del Rios, Sara Heinert, Joseph Weber, Eddie Markul, Katie Tataris, Teri Campbell, Terry Vanden Hoek and Houshang Darabi
    Citation: BMC Medical Informatics and Decision Making 2022 22:21
  40. Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by ...

    Authors: Ricardo Sánchez-de-Madariaga, Juan Martinez-Romo, José Miguel Cantero Escribano and Lourdes Araujo
    Citation: BMC Medical Informatics and Decision Making 2022 22:20
  41. The diagnostic likelihood ratio (DLR) and its utility are well-known in the field of medical diagnostic testing. However, its use has been limited in the context of an outcome validation study. We considered t...

    Authors: Yoichi Ii, Shintaro Hiro and Yoshiomi Nakazuru
    Citation: BMC Medical Informatics and Decision Making 2022 22:19
  42. To systematically review studies using machine learning (ML) algorithms to predict whether patients undergoing total knee or total hip arthroplasty achieve an improvement as high or higher than the minimal cli...

    Authors: Benedikt Langenberger, Andreas Thoma and Verena Vogt
    Citation: BMC Medical Informatics and Decision Making 2022 22:18
  43. Acute kidney injury (AKI) is a serve and harmful syndrome in the intensive care unit. Comparing to the patients with AKI stage 1/2, the patients with AKI stage 3 have higher in-hospital mortality and risk of p...

    Authors: Canzheng Wei, Lifan Zhang, Yunxia Feng, Aijia Ma and Yan Kang
    Citation: BMC Medical Informatics and Decision Making 2022 22:17
  44. For standardization of terms in the reports of medical device adverse events, 89 Japanese medical device adverse event terminologies were published in March 2015. The 89 terminologies were developed independen...

    Authors: Ayako Yagahara and Hideto Yokoi
    Citation: BMC Medical Informatics and Decision Making 2022 22:16
  45. In this paper we describe the use of the Consolidated Framework for Implementation Research (CFIR) to study implementation of a web-based, point-of-care, EHR-linked clinical decision support (CDS) tool designe...

    Authors: Rebekah Pratt, Daniel M. Saman, Clayton Allen, Benjamin Crabtree, Kris Ohnsorg, JoAnn M. Sperl-Hillen, Melissa Harry, Hilary Henzler-Buckingham, Patrick J. O’Connor and Jay Desai
    Citation: BMC Medical Informatics and Decision Making 2022 22:15
  46. The greatly accelerated development of information technology has conveniently provided adoption for risk stratification, which means more beneficial for both patients and clinicians. Risk stratification offer...

    Authors: Guanglei Yu, Linlin Zhang, Ying Zhang, Jiaqi Zhou, Tao Zhang and Xuehua Bi
    Citation: BMC Medical Informatics and Decision Making 2022 22:14
  47. There are often many missing values in medical data, which directly affect the accuracy of clinical decision making. Discharge assessment is an important part of clinical decision making. Taking the discharge ...

    Authors: Huimin Wang, Jianxiang Tang, Mengyao Wu, Xiaoyu Wang and Tao Zhang
    Citation: BMC Medical Informatics and Decision Making 2022 22:13
  48. Microsimulation models are mathematical models that simulate event histories for individual members of a population. They are useful for policy decisions because they simulate a large number of individuals fro...

    Authors: Maria DeYoreo, Carolyn M. Rutter, Jonathan Ozik and Nicholson Collier
    Citation: BMC Medical Informatics and Decision Making 2022 22:12

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