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

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  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. “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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  13. 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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  14. 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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  15. The increasing complexity of current drug therapies jeopardizes patient adherence. While individual needs to simplify a medication regimen vary from patient to patient, a straightforward approach to integrate ...

    Authors: Viktoria S. Wurmbach, Steffen J. Schmidt, Anette Lampert, Eduard Frick, Michael Metzner, Simone Bernard, Petra A. Thürmann, Stefan Wilm, Achim Mortsiefer, Attila Altiner, Lisa Sparenberg, Joachim Szecsenyi, Frank Peters-Klimm, Petra Kaufmann-Kolle, Walter E. Haefeli and Hanna M. Seidling

    Citation: BMC Medical Informatics and Decision Making 2020 20:154

    Content type: Research article

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  16. Patients with diabetes are at an increased risk of readmission and mortality when discharged from hospital. Existing research identifies statistically significant risk factors that are thought to underpin thes...

    Authors: Tim Robbins, Sarah N. Lim Choi Keung, Sailesh Sankar, Harpal Randeva and Theodoros N. Arvanitis

    Citation: BMC Medical Informatics and Decision Making 2020 20:150

    Content type: Research article

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  17. Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied ...

    Authors: Carole H. Sudre, Jasmina Panovska-Griffiths, Eser Sanverdi, Sebastian Brandner, Vasileios K. Katsaros, George Stranjalis, Francesca B. Pizzini, Claudio Ghimenton, Katarina Surlan-Popovic, Jernej Avsenik, Maria Vittoria Spampinato, Mario Nigro, Arindam R. Chatterjee, Arnaud Attye, Sylvie Grand, Alexandre Krainik…

    Citation: BMC Medical Informatics and Decision Making 2020 20:149

    Content type: Research article

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  18. Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical question is the need for a biopsy. Accurate risk stratification of patients before a biopsy can allow for individualised...

    Authors: Amirhossein Jalali, Robert W. Foley, Robert M. Maweni, Keefe Murphy, Dara J. Lundon, Thomas Lynch, Richard Power, Frank O’Brien, Kieran J. O’Malley, David J. Galvin, Garrett C. Durkan, T. Brendan Murphy and R. William Watson

    Citation: BMC Medical Informatics and Decision Making 2020 20:148

    Content type: Research article

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  19. The design and internal layout of modern operating rooms (OR) are influencing the surgical team’s collaboration and communication, ergonomics, as well as intraoperative hygiene substantially. Yet, there is no ...

    Authors: Juliane Neumann, Christine Angrick, Celina Höhn, Dirk Zajonz, Mohamed Ghanem, Andreas Roth and Thomas Neumuth

    Citation: BMC Medical Informatics and Decision Making 2020 20:145

    Content type: Research article

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  20. Clinical intuition and nonanalytic reasoning play a major role in clinical hypothesis generation; however, clinicians’ intuition about whether a critically ill child is bacteremic has not been explored. We end...

    Authors: Katherine E. M. Hoops, James C. Fackler, Anne King, Elizabeth Colantuoni, Aaron M. Milstone and Charlotte Woods-Hill

    Citation: BMC Medical Informatics and Decision Making 2020 20:144

    Content type: Research article

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  21. The main objective of phase I cancer clinical trials is to identify the maximum tolerated dose, usually defined as the highest dose associated with an acceptable level of severe toxicity during the first cycle...

    Authors: D. Dinart, J. Fraisse, D. Tosi, A. Mauguen, C. Touraine, S. Gourgou, M. C. Le Deley, C. Bellera and C. Mollevi

    Citation: BMC Medical Informatics and Decision Making 2020 20:134

    Content type: Software

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  22. Cancer is a leading cause of death in the United States. Primary care providers (PCPs) juggle patient cancer prevention and screening along with managing acute and chronic health problems. However, clinical de...

    Authors: Melissa L. Harry, Daniel M. Saman, Anjali R. Truitt, Clayton I. Allen, Kayla M. Walton, Patrick J. O’Connor, Heidi L. Ekstrom, JoAnn M. Sperl-Hillen, Joseph A. Bianco and Thomas E. Elliott

    Citation: BMC Medical Informatics and Decision Making 2020 20:117

    Content type: Research article

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  23. Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians’ performance in comparison to their peers has been shown to be more efficient for...

    Authors: Kassaye Yitbarek Yigzaw, Andrius Budrionis, Luis Marco-Ruiz, Torje Dahle Henriksen, Peder A. Halvorsen and Johan Gustav Bellika

    Citation: BMC Medical Informatics and Decision Making 2020 20:116

    Content type: Technical advance

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  24. Incorporating patient preference (PP) information into decision-making has become increasingly important to many stakeholders. However, there is little guidance on which patient preference assessment methods, ...

    Authors: Chiara Whichello, Bennett Levitan, Juhaeri Juhaeri, Vaishali Patadia, Rachael DiSantostefano, Cathy Anne Pinto and Esther W. de Bekker-Grob

    Citation: BMC Medical Informatics and Decision Making 2020 20:114

    Content type: Research article

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  25. Early warning scores (EWS) have been developed as clinical prognostication tools to identify acutely deteriorating patients. In the past few years, there has been a proliferation of studies that describe the d...

    Authors: Andrew Hao Sen Fang, Wan Tin Lim and Tharmmambal Balakrishnan

    Citation: BMC Medical Informatics and Decision Making 2020 20:111

    Content type: Research article

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  26. There are increasing examples of linking data on healthcare resource use and patient outcomes from different sectors of health and social care systems. Linked data are generally anonymised, meaning in most jur...

    Authors: Mary P. Tully, Cecilia Bernsten, Mhairi Aitken and Caroline Vass

    Citation: BMC Medical Informatics and Decision Making 2020 20:109

    Content type: Research article

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  27. IT systems in the healthcare field can have a marked sociotechnical impact: they modify communication habits, alter clinical processes and may have serious ethical implications. The introduction of such system...

    Authors: Heiko Waldmüller, Cord Spreckelsen, Hannah Rudat, Norbert Krumm, Roman Rolke and Stephan Michael Jonas

    Citation: BMC Medical Informatics and Decision Making 2020 20:101

    Content type: Research article

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  28. Treatment decision-making by family members on behalf of patients with major stroke can be challenging because of the shock of the diagnosis and lack of knowledge of the patient’s treatment preferences. We aim...

    Authors: A. Visvanathan, G. E. Mead, M. Dennis, W. N. Whiteley, F. N. Doubal and J. Lawton

    Citation: BMC Medical Informatics and Decision Making 2020 20:98

    Content type: Research article

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  29. Constrained budgets within healthcare systems and the need to efficiently allocate resources often necessitate the valuation of healthcare interventions and services. However, when a technological product is d...

    Authors: Emmanouil Mentzakis, Daria Tkacz and Carol Rivas

    Citation: BMC Medical Informatics and Decision Making 2020 20:95

    Content type: Research article

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  30. Medication errors have been identified as the most common preventable cause of adverse events. The lack of granularity in medication error terminology has led pharmacovigilance experts to rely on information i...

    Authors: Nadine Kadi Eskildsen, Robert Eriksson, Sten B. Christensen, Tamilla Stine Aghassipour, Mikael Juul Bygsø, Søren Brunak and Suzanne Lisbet Hansen

    Citation: BMC Medical Informatics and Decision Making 2020 20:94

    Content type: Research article

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  31. Implementation theories, models and frameworks offer guidance when implementing and sustaining healthcare evidence-based interventions. However, selection can be challenging given the myriad of potential optio...

    Authors: Lisa Strifler, Jan M. Barnsley, Michael Hillmer and Sharon E. Straus

    Citation: BMC Medical Informatics and Decision Making 2020 20:91

    Content type: Research article

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  32. Coronary heart disease (CHD) is a leading cause of morbidity and mortality for breast cancer survivors, yet the joint effect of adverse cardiovascular health (CVH) and cardiotoxic cancer treatments on post-tre...

    Authors: Aixia Guo, Kathleen W. Zhang, Kristi Reynolds and Randi E. Foraker

    Citation: BMC Medical Informatics and Decision Making 2020 20:88

    Content type: Research article

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  33. Basal cell carcinoma (BCC) is a slow-growing, rarely lethal skin cancer that affects people 65 years or older. A range of treatment options exist for BCC, but there is little evidence available to guide patien...

    Authors: Alexandra Junn, Neha R Shukla, Lily Morrison, Meghan Halley, Mary-Margaret Chren, Louise C. Walter, Dominick L. Frosch, Dan Matlock, Jeanette S. Torres and Eleni Linos

    Citation: BMC Medical Informatics and Decision Making 2020 20:81

    Content type: Research article

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  34. Avoidable use of diagnostic tests can both harm patients and increase the cost of healthcare. Nudge-type educational interventions have potential to modify clinician behaviour while respecting clinical autonom...

    Authors: Ben Young, Andrew W. Fogarty, Rob Skelly, Dominick Shaw, Nigel Sturrock, Mark Norwood, Peter Thurley, Sarah Lewis, Tessa Langley and Jo Cranwell

    Citation: BMC Medical Informatics and Decision Making 2020 20:80

    Content type: Research article

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  35. Screening with prostate-specific antigen (PSA) test for prostate cancer is considered a preference sensitive decision; meaning it does not only depend on what is best from a medical point of view, but also fro...

    Authors: S. Baptista, B. Heleno, A. Teixeira, K. L. Taylor and C. Martins

    Citation: BMC Medical Informatics and Decision Making 2020 20:78

    Content type: Study protocol

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  36. Improving medication safety is a major concern in primary care settings worldwide. The Salford Medication safety dASHboard (SMASH) intervention provided general practices in Salford (Greater Manchester, UK) wi...

    Authors: Mark Jeffries, Wouter T. Gude, Richard N. Keers, Denham L. Phipps, Richard Williams, Evangelos Kontopantelis, Benjamin Brown, Anthony J. Avery, Niels Peek and Darren M. Ashcroft

    Citation: BMC Medical Informatics and Decision Making 2020 20:69

    Content type: Research article

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  37. Prostate-Specific Antigen (PSA) screening for early detection of prostate cancer (PCa) may prevent some cancer deaths, but also may miss some cancers or lead to unnecessary and potentially harmful treatment. T...

    Authors: Søren Birkeland, Susanne S. Pedersen, Anders K. Haakonsson, Michael J. Barry and Nina Rottmann

    Citation: BMC Medical Informatics and Decision Making 2020 20:65

    Content type: Research article

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  38. Telemedicine and telephone-triage may compromise patient safety, particularly if urgency is underestimated. We aimed to explore the level of safety of a pediatric telemedicine service, with particular referenc...

    Authors: Motti Haimi, Shuli Brammli-Greenberg, Orna Baron-Epel and Yehezkel Waisman

    Citation: BMC Medical Informatics and Decision Making 2020 20:63

    Content type: Research article

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  39. User interface (UI) design features such as screen layout, density of information, and use of colour may affect the usability of electronic prescribing (EP) systems, with usability problems previously associat...

    Authors: Lisa Aufegger, Naresh Serou, Shiping Chen and Bryony Dean Franklin

    Citation: BMC Medical Informatics and Decision Making 2020 20:62

    Content type: Research article

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  40. Although cancer survivorship care plans have been in use for several years, they have been shown to not be effective in meeting the long-term needs of cancer survivors, in addition being generic and passive in...

    Authors: Akshat Kapoor and Priya Nambisan

    Citation: BMC Medical Informatics and Decision Making 2020 20:59

    Content type: Research article

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  41. During the process of decision-making for long-term care, clients are often dependent on informal support and available information about quality ratings of care services. However, clients do not take ratings ...

    Authors: Catharina M. van Leersum, Albine Moser, Ben van Steenkiste, Marion Reinartz, Esther Stoffers, Judith R. L. M. Wolf and Trudy van der Weijden

    Citation: BMC Medical Informatics and Decision Making 2020 20:57

    Content type: Research article

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  42. Primary care electronic medical record (EMR) data are emerging as a useful source for secondary uses, such as disease surveillance, health outcomes research, and practice improvement. These data capture clinic...

    Authors: Stephanie Garies, Michael Cummings, Hude Quan, Kerry McBrien, Neil Drummond, Donna Manca and Tyler Williamson

    Citation: BMC Medical Informatics and Decision Making 2020 20:56

    Content type: Research article

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  43. Many colorectal cancer (CRC) survivors experience persisting health problems post-treatment that compromise their health-related quality of life (HRQoL). Prediction models are useful tools for identifying surv...

    Authors: Dóra Révész, Sander M. J. van Kuijk, Floortje Mols, Fränzel J. B. van Duijnhoven, Renate M. Winkels, Huub Hoofs, I Jmert Kant, Luc J. Smits, Stéphanie O. Breukink, Lonneke V. van de Poll-Franse, Ellen Kampman, Sandra Beijer, Matty P. Weijenberg and Martijn J. L. Bours

    Citation: BMC Medical Informatics and Decision Making 2020 20:54

    Content type: Research article

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  44. Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking. Such tools are needed to support research in...

    Authors: Hao Xu, Steven Cox, Lisa Stillwell, Emily Pfaff, James Champion, Stanley C. Ahalt and Karamarie Fecho

    Citation: BMC Medical Informatics and Decision Making 2020 20:53

    Content type: Software

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  45. A variant of unknown significance (VUS) is a variant form of a gene that has been identified through genetic testing, but whose significance to the organism function is not known. An actual challenge in precis...

    Authors: Priscilla Machado do Nascimento, Inácio Gomes Medeiros, Raul Maia Falcão, Beatriz Stransky and Jorge Estefano Santana de Souza

    Citation: BMC Medical Informatics and Decision Making 2020 20:52

    Content type: Technical advance

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  46. The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing th...

    Authors: Daniel B. Hier and Steven U. Brint

    Citation: BMC Medical Informatics and Decision Making 2020 20:47

    Content type: Research article

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  47. Mammographic breast density is an important predictor of breast cancer, but its measurement has limitations related to subjectivity of visual evaluation or to difficult access for automatic volumetric measurem...

    Authors: Adriano L. C. Araújo, Heliana B. Soares, Daniel F. Carvalho, Roberto M. Mendonça and Antonio G. Oliveira

    Citation: BMC Medical Informatics and Decision Making 2020 20:45

    Content type: Technical advance

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  48. In a novel endeavour we aimed to develop a clinically relevant case identification method for use in research about the mental health of children and young people in New Zealand using the Integrated Data Infra...

    Authors: Nicholas Bowden, Sheree Gibb, Hiran Thabrew, Jesse Kokaua, Richard Audas, Sally Merry, Barry Taylor and Sarah E Hetrick

    Citation: BMC Medical Informatics and Decision Making 2020 20:42

    Content type: Research article

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  49. Multiobjective decision-making processes present a high degree of complexity in their solution, and tools such as multicriteria decision analysis appear as a way to facilitate the decision-makers’ solution and...

    Authors: Deyse Gillyane Gomes Camilo, Ricardo Pires de Souza, Talita Dias Chagas Frazão and João Florêncio da Costa Junior

    Citation: BMC Medical Informatics and Decision Making 2020 20:38

    Content type: Research article

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  50. Despite the established evidence and theoretical advances explaining human judgments under uncertainty, developments of mobile health (mHealth) Clinical Decision Support Systems (CDSS) have not explicitly appl...

    Authors: L. Timotijevic, C. E. Hodgkins, A. Banks, P. Rusconi, B. Egan, M. Peacock, E. Seiss, M. M. L. Touray, H. Gage, C. Pellicano, G. Spalletta, F. Assogna, M. Giglio, A. Marcante, G. Gentile, I. Cikajlo…

    Citation: BMC Medical Informatics and Decision Making 2020 20:34

    Content type: Research article

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