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

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  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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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  20. 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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  21. 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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  22. 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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  23. 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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  24. 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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  25. 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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  26. 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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  27. 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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  28. 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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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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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  34. 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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  35. 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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  36. 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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  37. Asthma is one of the most common chronic diseases in childhood. Regular follow-up of physiological parameters in the home setting, in relation to asthma symptoms, can provide complementary quantitative insight...

    Authors: M. R. van der Kamp, E. C. Klaver, B. J. Thio, J. M. M. Driessen, F. H. C. de Jongh, M. Tabak, J. van der Palen and H. J. Hermens

    Citation: BMC Medical Informatics and Decision Making 2020 20:192

    Content type: Research article

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  38. Many suggest that shared decision-making (SDM) is the most effective approach to clinical counseling. It is unclear if this applies to surgical decision-making-especially regarding urgent, highly-morbid operat...

    Authors: Laura A. Shinkunas, Caleb J. Klipowicz and Erica M. Carlisle

    Citation: BMC Medical Informatics and Decision Making 2020 20:190

    Content type: Research article

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  39. Shared decision making with older adults living with neurocognitive disorders is challenging for primary healthcare professionals. We studied the implementation of a professional training program featuring an ...

    Authors: Moulikatou Adouni Lawani, Luc Côté, Laetitia Coudert, Michèle Morin, Holly O. Witteman, Danielle Caron, Edeltraut Kroger, Philippe Voyer, Charo Rodriguez, France Légaré and Anik M. C. Giguere

    Citation: BMC Medical Informatics and Decision Making 2020 20:189

    Content type: Research article

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  40. Administrative healthcare databases are widespread and are often standardized with regard to their content and data coding, thus they can be used also as data sources for surveillance and epidemiological resea...

    Authors: Dino Gibertoni, Claudio Voci, Marica Iommi, Benedetta D’Ercole, Marcora Mandreoli, Antonio Santoro and Elena Mancini

    Citation: BMC Medical Informatics and Decision Making 2020 20:185

    Content type: Research article

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  41. Stakeholder engagement is being increasingly recognised as an important way to achieving impact in public health. The WorkHORSE (Working Health Outcomes Research Simulation Environment) project was designed to co...

    Authors: Ffion Lloyd-Williams, Lirije Hyseni, Maria Guzman-Castillo, Chris Kypridemos, Brendan Collins, Simon Capewell, Ellen Schwaller and Martin O’Flaherty

    Citation: BMC Medical Informatics and Decision Making 2020 20:182

    Content type: Research article

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  42. Malignant pleural effusion (MPE) is a common, serious problem predominantly seen in metastatic lung and breast cancer and malignant pleural mesothelioma. Recurrence of malignant pleural effusion is common, and...

    Authors: Cheryl Grindell, Angela Tod, Remi Bec, Daniel Wolstenholme, Rahul Bhatnagar, Parthipan Sivakumar, Anna Morley, Jayne Holme, Judith Lyons, Maryam Ahmed, Susan Jackson, Deirdre Wallace, Farinaz Noorzad, Meera Kamalanathan, Liju Ahmed and Mathew Evison

    Citation: BMC Medical Informatics and Decision Making 2020 20:179

    Content type: Research article

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  43. More information is often thought to improve medical decision-making, which may lead to test overuse. This study assesses which out of 15 laboratory tests contribute to diagnosing the underlying cause of anaem...

    Authors: Michelle M. A. Kip, Martijn L. J. Oonk, Mark-David Levin, Annemarie Schop, Patrick J. E. Bindels, Ron Kusters and Hendrik Koffijberg

    Citation: BMC Medical Informatics and Decision Making 2020 20:178

    Content type: Research article

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  44. Informational discontinuity can have far reaching consequences like medical errors, increased re-hospitalization rates and adverse events among others. Thus the holy grail of seamless informational continuity ...

    Authors: Naveen R. Gowda, Atul Kumar, Sanjay K. Arya and Vikas H

    Citation: BMC Medical Informatics and Decision Making 2020 20:175

    Content type: Research article

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  45. Shared decision-making improves the quality of patient care. Unfortunately, shared decision-making is not yet common practice among vascular surgeons. Thus, decision support tools were developed to assist vasc...

    Authors: S. M. L. de Mik, F. E. Stubenrouch, D. A. Legemate, R. Balm and D. T. Ubbink

    Citation: BMC Medical Informatics and Decision Making 2020 20:172

    Content type: Study protocol

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  46. The exact risk of developing QTc-prolongation when using a combination of QTc-prolonging drugs is still unknown, making it difficult to interpret these QT drug-drug interactions (QT-DDIs). A tool to identify h...

    Authors: Florine A. Berger, Heleen van der Sijs, Matthijs L. Becker, Teun van Gelder and Patricia M. L. A. van den Bemt

    Citation: BMC Medical Informatics and Decision Making 2020 20:171

    Content type: Research article

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  47. Parent-clinician shared decision making is the recommended model for the care of premature infants; thus, clinicians provide prenatal prematurity counseling to parents in the event of a mother’s hospitalizatio...

    Authors: Nicole M. Rau, Mir A. Basir and Kathryn E. Flynn

    Citation: BMC Medical Informatics and Decision Making 2020 20:169

    Content type: Research article

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  48. “Artificial intelligence” (AI) is often referred to as “augmented human intelligence” (AHI). The latter term implies that computers support—rather than replace—human decision-making. It is unclear whether the ...

    Authors: Santiago Romero-Brufau, Kirk D. Wyatt, Patricia Boyum, Mindy Mickelson, Matthew Moore and Cheristi Cognetta-Rieke

    Citation: BMC Medical Informatics and Decision Making 2020 20:167

    Content type: Research article

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  49. Building and validating electronic algorithms to identify patients with specific disease profiles using health data is becoming increasingly important to disease surveillance and population health management. The...

    Authors: Rachael Morkem, Kenneth Handelman, John A. Queenan, Richard Birtwhistle and David Barber

    Citation: BMC Medical Informatics and Decision Making 2020 20:166

    Content type: Research article

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  50. Delay in identifying deterioration in hospitalised patients is associated with delayed admission to an intensive care unit (ICU) and poor outcomes. For the HAVEN project (HICF ref.: HICF-R9–524), we have devel...

    Authors: Simarjot S. Dahella, James S. Briggs, Paul Coombes, Nazli Farajidavar, Paul Meredith, Timothy Bonnici, Julie L. Darbyshire and Peter J. Watkinson

    Citation: BMC Medical Informatics and Decision Making 2020 20:161

    Content type: Research article

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BMC Medical Informatics and Decision Making

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