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Clinical decision-making, knowledge support systems, and theory’

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  1. 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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  2. 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

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  3. 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

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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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

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  10. 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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  11. 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

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  12. 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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  13. 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

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  14. 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

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  15. 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

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  16. 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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  17. 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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  18. 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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  19. 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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  20. 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

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  21. 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

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  22. 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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  23. 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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  24. 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

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  25. 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

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  26. 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

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  27. Breast cancer is a worldwide health concern. For early stage breast cancer patients, choosing the surgical method after diagnosis is always a dilemma. Decision aids designed for use by patients are tools which...

    Authors: Jing Si, Rong Guo, Xiang Lu, Chao Han, Li Xue, Dan Xing and Caiping Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:275

    Content type: Research article

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  28. Higher levels of functional health in older adults leads to higher quality of life and improves the ability to age-in-place. Tracking functional health objectively could help clinicians to make decisions for i...

    Authors: Anup K. Mishra, Marjorie Skubic, Mihail Popescu, Kari Lane, Marilyn Rantz, Laurel A. Despins, Carmen Abbott, James Keller, Erin L. Robinson and Steve Miller

    Citation: BMC Medical Informatics and Decision Making 2020 20:270

    Content type: Research article

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  29. Autism is a lifelong disability associated with several comorbidities that confound diagnosis and treatment. A better understanding of these comorbidities would facilitate diagnosis and improve treatments. Our...

    Authors: Xiaojun Li, Guangjian Liu, Wenxiong Chen, Zhisheng Bi and Huiying Liang

    Citation: BMC Medical Informatics and Decision Making 2020 20:268

    Content type: Research article

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  30. Chronic pain has emerged as a disease in itself, affecting a growing number of people. Effective patient-provider communication is central to good pain management because pain can only be understood from the p...

    Authors: Nananda Col, Stephen Hull, Vicky Springmann, Long Ngo, Ernie Merritt, Susan Gold, Michael Sprintz, Noel Genova, Noah Nesin, Brenda Tierman, Frank Sanfilippo, Richard Entel and Lori Pbert

    Citation: BMC Medical Informatics and Decision Making 2020 20:267

    Content type: Research article

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  31. Female patients with pelvic organ prolapse and clinicians need to take decisions regarding treatment that are often unpredictable in relation to how they impact the future everyday lives of the patients.

    Authors: Mette Hulbaek, Eva Knutz, Niels Teglhus Ebbesen, Jette Primdahl, Jesper Bo Nielsen and Regner Birkelund

    Citation: BMC Medical Informatics and Decision Making 2020 20:265

    Content type: Research article

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  32. Medical terminologies are commonly used in medicine. For instance, to answer a pharmacovigilance question, pharmacovigilance specialists (PVS) search in a pharmacovigilance database for reports in relation to ...

    Authors: Romaric Marcilly, Laura Douze, Sébastien Ferré, Bissan Audeh, Carlos Bobed, Agnès Lillo-Le Louët, Jean-Baptiste Lamy and Cédric Bousquet

    Citation: BMC Medical Informatics and Decision Making 2020 20:261

    Content type: Research article

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  33. There is an increasing interest in clinical prediction tools that can achieve high prediction accuracy and provide explanations of the factors leading to increased risk of adverse outcomes. However, approaches...

    Authors: Amie J. Barda, Christopher M. Horvat and Harry Hochheiser

    Citation: BMC Medical Informatics and Decision Making 2020 20:257

    Content type: Research article

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  34. Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) make optimal clinical decisions. This study aimed to develop machine ...

    Authors: Guilan Kong, Ke Lin and Yonghua Hu

    Citation: BMC Medical Informatics and Decision Making 2020 20:251

    Content type: Research article

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  35. A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assumi...

    Authors: Daniel Adu-Gyamfi, Fengli Zhang and Albert Kofi Kwansah Ansah

    Citation: BMC Medical Informatics and Decision Making 2020 20:245

    Content type: Research article

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  36. Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method for minimizing medical errors. Existing CDSSs are limited in that they do not reflect actual data. To overcome this limit...

    Authors: Jin-Hyeok Park, Jeong-Heum Baek, Sun Jin Sym, Kang Yoon Lee and Youngho Lee

    Citation: BMC Medical Informatics and Decision Making 2020 20:241

    Content type: Research article

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  37. The present study aims to investigate the role of histogram analysis of intravoxel incoherent motion (IVIM) in the differential diagnosis of benign and malignant breast lesions.

    Authors: Ya-Nan Jin, Yan Zhang, Jing-Liang Cheng, Xiao-Pan Zhang, Ying Hu and Xiao-Ning Shao

    Citation: BMC Medical Informatics and Decision Making 2020 20:239

    Content type: Research article

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  38. Clinical decision aids are used in various medical fields to support patients and clinicians when making healthcare decisions. Few attempts have been made to implement such tools in psychiatry. We developed Tr...

    Authors: Lukas O. Roebroek, Jojanneke Bruins, Philippe Delespaul, Albert Boonstra and Stynke Castelein

    Citation: BMC Medical Informatics and Decision Making 2020 20:234

    Content type: Research article

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  39. Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long...

    Authors: Carolyn E. Clausen, Bennett L. Leventhal, Øystein Nytrø, Roman Koposov, Odd Sverre Westbye, Thomas Brox Røst, Victoria Bakken, Kaban Koochakpour, Ketil Thorvik and Norbert Skokauskas

    Citation: BMC Medical Informatics and Decision Making 2020 20:232

    Content type: Study protocol

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  40. Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medi...

    Authors: Jannik Schaaf, Hans-Ulrich Prokosch, Martin Boeker, Johanna Schaefer, Jessica Vasseur, Holger Storf and Martin Sedlmayr

    Citation: BMC Medical Informatics and Decision Making 2020 20:230

    Content type: Research article

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  41. Parkinson’s Disease (PD) is a clinically diagnosed neurodegenerative disorder that affects both motor and non-motor neural circuits. Speech deterioration (hypokinetic dysarthria) is a common symptom, which oft...

    Authors: Ibrahim Karabayir, Samuel M. Goldman, Suguna Pappu and Oguz Akbilgic

    Citation: BMC Medical Informatics and Decision Making 2020 20:228

    Content type: Research article

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  42. Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with breast cancer have highly variable survival lengths, indicating a need to identify prognostic biomarkers for pers...

    Authors: Li Tong, Jonathan Mitchel, Kevin Chatlin and May D. Wang

    Citation: BMC Medical Informatics and Decision Making 2020 20:225

    Content type: Research article

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  43. Access to health care is a fundamental human right, and the provision of affordable, high-quality, and appropriate medicines for maternal and child health is a vital component of a well-functioning health syst...

    Authors: Abel Demerew Hailu and Solomon Ahmed Mohammed

    Citation: BMC Medical Informatics and Decision Making 2020 20:221

    Content type: Research article

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  44. Most cost-effectiveness analyses in the context of cervical cancer prevention involve the use of mathematical models to simulate HPV infection, cervical disease and prevention strategies. However, it is common...

    Authors: David Moriña, José Ignacio Martí, Pedro Puig and Mireia Diaz

    Citation: BMC Medical Informatics and Decision Making 2020 20:211

    Content type: Software

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  45. Clinical analytics is a rapidly developing area of informatics and knowledge mobilisation which has huge potential to improve healthcare in the future. It is widely acknowledged to be a powerful mediator of cl...

    Authors: Kim Sutherland, Wilson Yeung, Yoke Mak and Jean-Frederic Levesque

    Citation: BMC Medical Informatics and Decision Making 2020 20:210

    Content type: Research article

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  46. Gastrointestinal (GI) cancer including colorectal cancer, gastric cancer, pancreatic cancer, etc., are among the most frequent malignancies diagnosed annually and represent a major public health problem worldw...

    Authors: Charles C. N. Wang, Jennifer Jin, Jan-Gowth Chang, Masahiro Hayakawa, Atsushi Kitazawa, Jeffrey J. P. Tsai and Phillip C.-Y. Sheu

    Citation: BMC Medical Informatics and Decision Making 2020 20:208

    Content type: Research article

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  47. The prevalence of medical misinformation on the Internet has received much attention among researchers concerned that exposure to such information may inhibit patient adherence to prescriptions. Yet, little is...

    Authors: Nickolas M. Jones, Dana B. Mukamel, Shaista Malik, Robert S. Greenfield, Andrew Reikes, Nathan D. Wong and Emilie Chow

    Citation: BMC Medical Informatics and Decision Making 2020 20:197

    Content type: Research article

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  48. Drug-laboratory (lab) interactions (DLIs) are a common source of preventable medication errors. Clinical decision support systems (CDSSs) are promising tools to decrease such errors by improving prescription q...

    Authors: Zahra Niazkhani, Mahsa Fereidoni, Parviz Rashidi Khazaee, Afshin Shiva, Khadijeh Makhdoomi, Andrew Georgiou and Habibollah Pirnejad

    Citation: BMC Medical Informatics and Decision Making 2020 20:196

    Content type: Research article

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  49. Nearly half of US adults with diagnosed hypertension have uncontrolled blood pressure. Clinical inertia may contribute, including patient-physician uncertainty about how variability in blood pressures impacts ...

    Authors: Richelle J. Koopman, Shannon M. Canfield, Jeffery L. Belden, Pete Wegier, Victoria A. Shaffer, K. D. Valentine, Akshay Jain, Linsey M. Steege, Sonal J. Patil, Mihail Popescu and Michael L. LeFevre

    Citation: BMC Medical Informatics and Decision Making 2020 20:195

    Content type: Research article

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  50. There are serious safety risks associated with chemotherapy, often associated with interdependencies in regimens administered over months or years. Various strategies are used to manage these risks. Computeriz...

    Authors: Valentina Lichtner, Bryony Dean Franklin, Luciano Dalla-Pozza and Johanna I. Westbrook

    Citation: BMC Medical Informatics and Decision Making 2020 20:193

    Content type: Research article

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BMC Medical Informatics and Decision Making

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