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Clinical decision-making, knowledge support systems, and theory

Section edited by Paul Taylor

This section aims to publish studies on the development, implementation and evaluation of clinical decision support systems. The section also accepts articles on the theoretical support of clinical decision-making (including shared-decision making), decision analysis, and decision aids.

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  1. Inguinal hernia repair, gallbladder removal, and knee- and hip replacements are the most commonly performed surgical procedures, but all are subject to practice variation and variable patient-reported outcomes...

    Authors: Floris M. Thunnissen, Bernhard W. Schreurs, Carmen S. S. Latenstein, Marjan J. Meinders, Eddy M. Adang, Glyn Elwyn, Doeke Boersma, Bas Bosmans, Koop Bosscha, Bastiaan L. Ginsel, Eric J. Hazebroek, Jeroen J. Nieuwenhuis, Maarten Staarink, Dries Verhallen, Marc L. Wagener, Femke Atsma…

    Citation: BMC Medical Informatics and Decision Making 2021 21:110

    Content type: Study protocol

    Published on:

  2. Strabismus is a complex disease that has various treatment approaches each with its own advantages and drawbacks. In this context, shared decisions making (SDM) is a communication process with the provider sha...

    Authors: Ala Paduca, Oleg Arnaut, Eugeniu Beschieru, Per Olof Lundmark and Jan Richard Bruenech

    Citation: BMC Medical Informatics and Decision Making 2021 21:109

    Content type: Research article

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  3. In the recent decades, the use of computerized decision support software (CDSS)-integrated telephone triage (TT) has become an important tool for managing rising healthcare demands and overcrowding in the emer...

    Authors: Farah Islam, Marc Sabbe, Pieter Heeren and Koen Milisen

    Citation: BMC Medical Informatics and Decision Making 2021 21:107

    Content type: Research article

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  4. A central goal among researchers and policy makers seeking to implement clinical interventions is to identify key facilitators and barriers that contribute to implementation success. Despite calls from a numbe...

    Authors: Kristin M. Kostick, Meredith Trejo, Arvind Bhimaraj, Andrew Civitello, Jonathan Grinstein, Douglas Horstmanshof, Ulrich P. Jorde, Matthias Loebe, Mandeep R. Mehra, Nasir Z. Sulemanjee, Vinay Thohan, Barry H. Trachtenberg, Nir Uriel, Robert J. Volk, Jerry D. Estep and J. S. Blumenthal-Barby

    Citation: BMC Medical Informatics and Decision Making 2021 21:106

    Content type: Research article

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  5. Diabetes Mellitus (DM) has become the third chronic non-communicable disease that hits patients after tumors, cardiovascular and cerebrovascular diseases, and has become one of the major public health problems...

    Authors: Xuchun Wang, Mengmeng Zhai, Zeping Ren, Hao Ren, Meichen Li, Dichen Quan, Limin Chen and Lixia Qiu

    Citation: BMC Medical Informatics and Decision Making 2021 21:105

    Content type: Research article

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  6. Patients with complex health care needs may suffer adverse outcomes from fragmented and delayed care, reducing well-being and increasing health care costs. Health reform efforts, especially those in primary ca...

    Authors: David A. Dorr, Rachel L. Ross, Deborah Cohen, Devan Kansagara, Katrina Ramsey, Bhavaya Sachdeva and Jonathan P. Weiner

    Citation: BMC Medical Informatics and Decision Making 2021 21:104

    Content type: Research article

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  7. Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors. This study was ther...

    Authors: Sharare Taheri Moghadam, Farahnaz Sadoughi, Farnia Velayati, Seyed Jafar Ehsanzadeh and Shayan Poursharif

    Citation: BMC Medical Informatics and Decision Making 2021 21:98

    Content type: Research article

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  8. In the intensive care unit (ICU), delirium is a common, acute, confusional state associated with high risk for short- and long-term morbidity and mortality. Machine learning (ML) has promise to address researc...

    Authors: Caitlin E. Coombes, Kevin R. Coombes and Naleef Fareed

    Citation: BMC Medical Informatics and Decision Making 2021 21:97

    Content type: Research article

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  9. Over the last decades, the face of health care has changed dramatically, with big improvements in what is technically feasible. However, there are indicators that the current approach to evaluating evidence in...

    Authors: Wim van Biesen, Catherine Van Der Straeten, Sigrid Sterckx, Johan Steen, Lisa Diependaele and Johan Decruyenaere

    Citation: BMC Medical Informatics and Decision Making 2021 21:87

    Content type: Review

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  10. Colorectal cancer (CRC) is a common malignancy worldwide. Despite being the most common cancer in Singapore, CRC screening rate remains low due to knowledge deficits, social reasons such as inconvenience and a...

    Authors: Sok Wei Julia Yuen, Tsang Yew Tay, Ning Gao, Nian Qin Tho and Ngiap Chuan Tan

    Citation: BMC Medical Informatics and Decision Making 2021 21:86

    Content type: Research article

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  11. Cost control and usage regulation of medical materials (MMs) are the practical issues that the government pays close attention to. Although it is well established that there is great potential to mobilize doct...

    Authors: Guixian Tong, Qingqing Geng, Tong Xu, Debin Wang and Tongzhu Liu

    Citation: BMC Medical Informatics and Decision Making 2021 21:85

    Content type: Study protocol

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  12. Tumor necrosis factor α inhibitors (TNFi) is effective for rheumatoid arthritis (RA) patients who fail to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs). Because of high cost, the dis...

    Authors: Juan Zhao, Wei Zhou, Yangfeng Wu, Ping Ji, Li Yang, Xiaoyan Yan and Zhuoli Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:83

    Content type: Study protocol

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  13. Heart disease is the primary cause of morbidity and mortality in the world. It includes numerous problems and symptoms. The diagnosis of heart disease is difficult because there are too many factors to analyze...

    Authors: Qi Zhenya and Zuoru Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:73

    Content type: Research article

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  14. Fatigue is a kind of non-specific symptom, which occurs widely in sub-health and various diseases. It is closely related to people's physical and mental health. Due to the lack of objective diagnostic criteria...

    Authors: Yulin Shi, Xiaojuan Hu, Ji Cui, Longtao Cui, Jingbin Huang, Xuxiang Ma, Tao Jiang, Xinghua Yao, Fang Lan, Jun Li, Zijuan Bi, Jiacai Li, Yu Wang, Hongyuan Fu, Jue Wang, Yanting Lin…

    Citation: BMC Medical Informatics and Decision Making 2021 21:72

    Content type: Research article

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  15. We know little about the best approaches to design training for healthcare professionals. We thus studied how user-centered and theory-based design contribute to the development of a distance learning program ...

    Authors: Moulikatou Adouni Lawani, Yves Turgeon, Luc Côté, France Légaré, Holly O. Witteman, Michèle Morin, Edeltraut Kroger, Philippe Voyer, Charo Rodriguez and Anik Giguere

    Citation: BMC Medical Informatics and Decision Making 2021 21:59

    Content type: Research article

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  16. Rheumatoid arthritis (RA) is an autoimmune disorder with systemic inflammation and may be induced by oxidative stress that affects an inflamed joint. Our objectives were to examine isotypes of autoantibodies a...

    Authors: Kai-Leun Tsai, Che-Chang Chang, Yu-Sheng Chang, Yi-Ying Lu, I-Jung Tsai, Jin-Hua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui-Wen Chang, Ching-Yu Lin and Emily Chia-Yu Su

    Citation: BMC Medical Informatics and Decision Making 2021 21:49

    Content type: Research article

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  17. U.S. hospitals and dialysis centers are penalized for 30-day hospital readmissions of dialysis patients, despite little infrastructure to facilitate care transitions between these settings. We are developing a...

    Authors: Ann E. Vandenberg, Bernard G. Jaar, Kyle P. James, Janice Lea, Christopher O’Donnell, Tahsin Masud, Rich Mutell and Laura C. Plantinga

    Citation: BMC Medical Informatics and Decision Making 2021 21:47

    Content type: Research article

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  18. Researchers and policy makers have long suspected that people have differing, and potentially nefarious, motivations for participating in stated-preference studies such as discrete-choice experiments (DCE). Wh...

    Authors: Ilene L. Hollin, Ellen Janssen, Marcella A. Kelley and John F. P. Bridges

    Citation: BMC Medical Informatics and Decision Making 2021 21:44

    Content type: Research article

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  19. Quantitative data reports are widely produced to inform health policy decisions. Policymakers are expected to critically assess provided information in order to incorporate the best available evidence into the...

    Authors: Pamela Wronski, Michel Wensing, Sucheta Ghosh, Lukas Gärttner, Wolfgang Müller and Jan Koetsenruijter

    Citation: BMC Medical Informatics and Decision Making 2021 21:32

    Content type: Research article

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  20. Informed consent is required for participation in clinical trials, however trials involving adults who lack capacity to consent require different enrolment processes. A family member usually acts as a proxy to...

    Authors: Victoria Shepherd, Fiona Wood, Richard Griffith, Mark Sheehan and Kerenza Hood

    Citation: BMC Medical Informatics and Decision Making 2021 21:30

    Content type: Technical advance

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  21. 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

    Published on:

  22. 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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  23. 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

    Published on:

  24. 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

    Published on:

  25. 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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  26. 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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  27. 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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  28. 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

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  29. 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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  30. 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

    Published on:

  31. Different from adult clinical stage I (CS1) testicular cancer, surveillance has been recommended for CS1 pediatric testicular cancer. However, among high-risk children, more than 50% suffer a relapse and progr...

    Authors: Yun-lin Ye, Zhuang-fei Chen, Jun Bian, Hai-tao Liang and Zi-ke Qin

    Citation: BMC Medical Informatics and Decision Making 2020 20:337

    Content type: Research article

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  32. The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI).

    Authors: Ahmad Abujaber, Adam Fadlalla, Diala Gammoh, Husham Abdelrahman, Monira Mollazehi and Ayman El-Menyar

    Citation: BMC Medical Informatics and Decision Making 2020 20:336

    Content type: Research article

    Published on:

  33. Hormone therapy is one option for some types of prostate cancer. Shared decision making (SDM) is important in the decision making process, but SDM between prostate cancer patients receiving hormone therapy and...

    Authors: Kazuhiro Nakayama, Wakako Osaka, Nobuaki Matsubara, Tsutomu Takeuchi, Mayumi Toyoda, Noriyuki Ohtake and Hiroji Uemura

    Citation: BMC Medical Informatics and Decision Making 2020 20:334

    Content type: Research article

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  34. Statistical adjustment is often considered to control confounding bias in observational studies, especially case–control studies. However, different adjustment strategies may affect the estimation of odds rati...

    Authors: Ruohua Yan, Tianyi Liu, Yaguang Peng and Xiaoxia Peng

    Citation: BMC Medical Informatics and Decision Making 2020 20:333

    Content type: Research article

    Published on:

  35. This is the first study on prognostication in an entire cohort of laboratory-confirmed COVID-19 patients in the city of Hong Kong. Prognostic tool is essential in the contingency response for the next wave of ...

    Authors: Eva L. H. Tsui, Carrie S. M. Lui, Pauline P. S. Woo, Alan T. L. Cheung, Peggo K. W. Lam, Van T. W. Tang, C. F. Yiu, C. H. Wan and Libby H. Y. Lee

    Citation: BMC Medical Informatics and Decision Making 2020 20:323

    Content type: Research article

    Published on:

  36. Evidence-based practice, decision aids, patient preferences and autonomy preferences (AP) play an important role in making decisions with the patient. They are crucial in the process of a shared decision makin...

    Authors: Mareike Benecke, Jürgen Kasper, Christoph Heesen, Nina Schäffler and Daniel R. Reissmann

    Citation: BMC Medical Informatics and Decision Making 2020 20:318

    Content type: Research article

    Published on:

  37. Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in ce...

    Authors: Julia Amann, Alessandro Blasimme, Effy Vayena, Dietmar Frey and Vince I. Madai

    Citation: BMC Medical Informatics and Decision Making 2020 20:310

    Content type: Research article

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  38. Accurately predicting patient outcomes in Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could aid patient management and allocation of healthcare resources. There are a variety of methods which ...

    Authors: Ahmed Abdulaal, Aatish Patel, Esmita Charani, Sarah Denny, Saleh A. Alqahtani, Gary W. Davies, Nabeela Mughal and Luke S. P. Moore

    Citation: BMC Medical Informatics and Decision Making 2020 20:299

    Content type: Research article

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  39. Evidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which...

    Authors: Christian Gerdesköld, Eva Toth-Pal, Inger Wårdh, Gunnar H. Nilsson and Anna Nager

    Citation: BMC Medical Informatics and Decision Making 2020 20:294

    Content type: Research article

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  40. Akkermansia muciniphila is an anaerobic bacterium residing in the healthy intestinal tract of host and its quantity has a negative correlation with various host diseases. This study for the first time provides a ...

    Authors: Hojat Dehghanbanadaki, Hossein Aazami, Shahrbanoo Keshavarz Azizi Raftar, Fatemeh Ashrafian, Hanieh-Sadat Ejtahed, Ehsan Hashemi, Zahra Hoseini Tavassol, Sara Ahmadi Badi and Seyed Davar Siadat

    Citation: BMC Medical Informatics and Decision Making 2020 20:291

    Content type: Research article

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  41. Given an increased global prevalence of complementary and alternative medicine (CAM) use, healthcare providers commonly seek CAM-related health information online. Numerous online resources containing CAM-spec...

    Authors: Jeremy Y. Ng, Vanessa Munford and Harmy Thakar

    Citation: BMC Medical Informatics and Decision Making 2020 20:290

    Content type: Research article

    Published on:

  42. Record linkage is the process of identifying and combining records about the same individual from two or more different datasets. While there are many open source and commercial data linkage tools, the volume ...

    Authors: George C. G. Barbosa, M. Sanni Ali, Bruno Araujo, Sandra Reis, Samila Sena, Maria Y. T. Ichihara, Julia Pescarini, Rosemeire L. Fiaccone, Leila D. Amorim, Robespierre Pita, Marcos E. Barreto, Liam Smeeth and Mauricio L. Barreto

    Citation: BMC Medical Informatics and Decision Making 2020 20:289

    Content type: Research article

    Published on:

  43. The use of statins for primary prevention of cardiovascular diseases is associated with different benefit and harm outcomes. The aime of this study is how important these outcomes are for people and what peopl...

    Authors: Hassan Saadati, Hamid Reza Baradaran, Goodarz Danaei, Afshin Ostovar, Farzad Hadaegh, Leila Janani, Ewout W. Steyerberg and Davood Khalili

    Citation: BMC Medical Informatics and Decision Making 2020 20:288

    Content type: Research article

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  44. Acute kidney injury (AKI) is common in hospitalized patients and is associated with poor patient outcomes and high costs of care. The implementation of clinical decision support tools within electronic medical...

    Authors: Megan Howarth, Meha Bhatt, Eleanor Benterud, Anna Wolska, Evan Minty, Kyoo-Yoon Choi, Andrea Devrome, Tyrone G. Harrison, Barry Baylis, Elijah Dixon, Indraneel Datta, Neesh Pannu and Matthew T. James

    Citation: BMC Medical Informatics and Decision Making 2020 20:287

    Content type: Research article

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  45. A proposed computer aided detection (CAD) scheme faces major issues during subtle nodule recognition. However, radiologists have not noticed subtle nodules in beginning stage of lung cancer while a proposed CA...

    Authors: Kishore Rajagopalan and Suresh Babu

    Citation: BMC Medical Informatics and Decision Making 2020 20:282

    Content type: Technical advance

    Published on:

  46. The increased availability of patient reported outcome data makes it feasible to provide patients tailored risk information of cancer treatment side effects. However, it is unclear how such information influen...

    Authors: Ruben D. Vromans, Steffen C. Pauws, Nadine Bol, Lonneke V. van de Poll-Franse and Emiel J. Krahmer

    Citation: BMC Medical Informatics and Decision Making 2020 20:277

    Content type: Research article

    Published on:

  47. Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment c...

    Authors: Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau, Carol Gu, Jonathan Roberts, Sidney Le, Joseph Slote, Nicholas Saber, Emily Pellegrini, Abigail Green-Saxena, Jana Hoffman and Ritankar Das

    Citation: BMC Medical Informatics and Decision Making 2020 20:276

    Content type: Research article

    Published on:

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