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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. Decisional conflict is associated with decision quality and may affect decision outcomes. In the health sciences literature, the Decisional Conflict Scale is widely used to measure decisional conflict, yet lim...

    Authors: Rachel A. Pozzar, Donna L. Berry and Fangxin Hong

    Citation: BMC Medical Informatics and Decision Making 2019 19:124

    Content type: Research article

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  2. The autoverification system for coagulation consists of a series of rules that allow normal data to be released without manual verification. With new advances in medical informatics, the laboratory information...

    Authors: Zhongqing Wang, Cheng Peng, Hui Kang, Xia Fan, Runqing Mu, Liping Zhou, Miao He and Bo Qu

    Citation: BMC Medical Informatics and Decision Making 2019 19:123

    Content type: Research article

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  3. Many healthcare databases have been routinely collected over the past decades, to support clinical practice and administrative services. However, their secondary use for research is often hindered by restricte...

    Authors: João Rafael Almeida, Rosa Gini, Giuseppe Roberto, Peter Rijnbeek and José Luís Oliveira

    Citation: BMC Medical Informatics and Decision Making 2019 19:121

    Content type: Software

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  4. Most of readmission prediction models are implemented at the time of patient discharge. However, interventions which include an early in-hospital component are critical in reducing readmissions and improving p...

    Authors: Natalie Flaks-Manov, Maxim Topaz, Moshe Hoshen, Ran D. Balicer and Efrat Shadmi

    Citation: BMC Medical Informatics and Decision Making 2019 19:118

    Content type: Research article

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  5. Data mining tools have been increasingly used in health research, with the promise of accelerating discoveries. Lift is a standard association metric in the data mining community. However, health researchers s...

    Authors: Khanh Vu, Rebecca A. Clark, Colin Bellinger, Graham Erickson, Alvaro Osornio-Vargas, Osmar R. Zaïane and Yan Yuan

    Citation: BMC Medical Informatics and Decision Making 2019 19:112

    Content type: Research article

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  6. Cardiovascular risk management (CVRM) is notoriously difficult because of multi-morbidity and the different phenotypes and severities of cardiovascular disease. Computerized decision support systems (CDSS) ena...

    Authors: T. Katrien J. Groenhof, Folkert W. Asselbergs, Rolf H. H. Groenwold, Diederick E. Grobbee, Frank L. J. Visseren and Michiel L. Bots

    Citation: BMC Medical Informatics and Decision Making 2019 19:108

    Content type: Research article

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  7. Evidence-Based Medicine (EBM) is the process of systematically locating, searching, evaluating, and using contemporaneous research findings as the basis for clinical decision making. The systematic review show...

    Authors: Teshager Worku, Meron Yeshitila, Tilaye Feto, Shiferaw Leta, Frehiwot Mesfin and Haymanot Mezmur

    Citation: BMC Medical Informatics and Decision Making 2019 19:107

    Content type: Research article

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  8. Inappropriate prescribing of psychotropics is a persistent and prevalent problem in nursing homes. The present study compared inappropriate prescribing of psychotropics in nursing homes 16 years apart with pre...

    Authors: Jan Schjøtt and Jörg Aßmus

    Citation: BMC Medical Informatics and Decision Making 2019 19:102

    Content type: Research article

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  9. Multiple predictive scores using Electronic Patient Record data have been developed for hospitalised patients at risk of clinical deterioration. Methods used to select patient centred variables for inclusion i...

    Authors: James Malycha, Timothy Bonnici, David A. Clifton, Guy Ludbrook, J. Duncan Young and Peter J. Watkinson

    Citation: BMC Medical Informatics and Decision Making 2019 19:98

    Content type: Research article

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  10. Mobile health (MH) technologies including clinical decision support systems (CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is based on real-time sensor data and historic...

    Authors: Shaker El-Sappagh, Farman Ali, Abdeltawab Hendawi, Jun-Hyeog Jang and Kyung-Sup Kwak

    Citation: BMC Medical Informatics and Decision Making 2019 19:97

    Content type: Research article

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  11. Although fecal hemoglobin concentration (f-Hb) was highly associated with the risk of colorectal neoplasms, current studies on this subject are hampered by skewedness of the data and the ordinal property of f-...

    Authors: Szu-Min Peng, Han-Mo Chiu, Hsiao-Hsuan Jen, Chen-Yang Hsu, Sam Li-Sheng Chen, Sherry Yueh-Hsia Chiu, Amy Ming-Fang Yen, Jean Ching-Yuan Fann, Yi-Chia Lee and Hsiu-Hsi Chen

    Citation: BMC Medical Informatics and Decision Making 2019 19:94

    Content type: Research article

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  12. While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will rem...

    Authors: Lars Müller, Rashmi Gangadharaiah, Simone C. Klein, James Perry, Greg Bernstein, David Nurkse, Dustin Wailes, Rishi Graham, Robert El-Kareh, Sanjay Mehta, Staal A. Vinterbo and Eliah Aronoff-Spencer

    Citation: BMC Medical Informatics and Decision Making 2019 19:93

    Content type: Database

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  13. Maintaining physical fitness is a crucial component of the therapeutic process for patients with cardiovascular disease (CVD). Despite the known importance of being physically active, patient adherence to exer...

    Authors: Kristina Livitckaia, Vassilis Koutkias, Evangelia Kouidi, Mark van Gils, Nikolaos Maglaveras and Ioanna Chouvarda

    Citation: BMC Medical Informatics and Decision Making 2019 19:92

    Content type: Research article

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  14. Many clinical concepts are standardized under a categorical and hierarchical taxonomy such as ICD-10, ATC, etc. These taxonomic clinical concepts provide insight into semantic meaning and similarity among clin...

    Authors: Zheng Jia, Xudong Lu, Huilong Duan and Haomin Li

    Citation: BMC Medical Informatics and Decision Making 2019 19:91

    Content type: Research article

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  15. Shared decision making is associated with improved patient outcomes in radiation oncology. Our study aimed to capture how shared decision-making practices–namely, communicating potential harms and benefits and...

    Authors: Laurie Pilote, Luc Côté, Selma Chipenda Dansokho, Émilie Brouillard, Anik M. C. Giguère, France Légaré, Roland Grad and Holly O. Witteman

    Citation: BMC Medical Informatics and Decision Making 2019 19:84

    Content type: Research article

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  16. While doctors should analyze a large amount of electronic medical record (EMR) data to conduct clinical research, the analyzing process requires information technology (IT) skills, which is difficult for most ...

    Authors: Tong Ruan, Yueqi Huang, Xuli Liu, Yuhang Xia and Ju Gao

    Citation: BMC Medical Informatics and Decision Making 2019 19:82

    Content type: Research article

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  17. Coronary artery disease (CAD), a leading cause of mortality, affects patient health-related quality of life (HRQoL). Elective percutaneous coronary interventions (ePCIs) are usually performed to improve HRQoL ...

    Authors: Rabah M. Al abdi, Hussam Alshraideh, Heba H. Hijazi, Mohamad Jarrah and Mohammad S. Alyahya

    Citation: BMC Medical Informatics and Decision Making 2019 19:46

    Content type: Research article

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  18. Social isolation is an important social determinant that impacts health outcomes and mortality among patients. The National Academy of Medicine recently recommended that social isolation be documented in elect...

    Authors: Vivienne J Zhu, Leslie A Lenert, Brian E Bunnell, Jihad S Obeid, Melanie Jefferson and Chanita Hughes Halbert

    Citation: BMC Medical Informatics and Decision Making 2019 19:43

    Content type: Research article

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:89

  19. Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a ...

    Authors: Ekaterina Kutafina, Istvan Bechtold, Klaus Kabino and Stephan M. Jonas

    Citation: BMC Medical Informatics and Decision Making 2019 19:39

    Content type: Research article

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  20. When outbreak detection algorithms (ODAs) are considered individually, the task of outbreak detection can be seen as a classification problem and the ODA as a sensor providing a binary decision (outbreak yes o...

    Authors: Gaëtan Texier, Rodrigue S. Allodji, Loty Diop, Jean-Baptiste Meynard, Liliane Pellegrin and Hervé Chaudet

    Citation: BMC Medical Informatics and Decision Making 2019 19:38

    Content type: Research article

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:81

  21. Information about effects of treatments based on unsystematic reviews of research evidence may be misleading. However, finding trustworthy information about the effects of treatments based on systematic review...

    Authors: Andrew D. Oxman and Elizabeth J. Paulsen

    Citation: BMC Medical Informatics and Decision Making 2019 19:35

    Content type: Research article

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  22. Existing resources to assist the diagnosis of rare diseases are usually curated from the literature that can be limited for clinical use. It often takes substantial effort before the suspicion of a rare diseas...

    Authors: Feichen Shen, Yiqing Zhao, Liwei Wang, Majid Rastegar Mojarad, Yanshan Wang, Sijia Liu and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2019 19:32

    Content type: Research article

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  23. To improve medication surveillance and provide pharmacotherapeutic support in University Hospitals Leuven, a back-office clinical service, called “Check of Medication Appropriateness” (CMA), was developed, con...

    Authors: Charlotte Quintens, Thomas De Rijdt, Tine Van Nieuwenhuyse, Steven Simoens, Willy E. Peetermans, Bart Van den Bosch, Minne Casteels and Isabel Spriet

    Citation: BMC Medical Informatics and Decision Making 2019 19:29

    Content type: Research article

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  24. Although osteoporosis is an easily diagnosed and treatable condition, many individuals remain untreated. Clinical decision support systems might increase appropriate treatment of osteoporosis. We designed the ...

    Authors: Haukur T. Gudmundsson, Karen E. Hansen, Bjarni V. Halldorsson, Bjorn R. Ludviksson and Bjorn Gudbjornsson

    Citation: BMC Medical Informatics and Decision Making 2019 19:27

    Content type: Research article

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  25. The implementation of new medical interventions into routine care involves healthcare professionals adopting new clinical behaviours and changing existing ones. Whilst theory-based approaches can help understa...

    Authors: Sebastian Potthoff, Justin Presseau, Falko F. Sniehotta, Matthew Breckons, Amy Rylance and Leah Avery

    Citation: BMC Medical Informatics and Decision Making 2019 19:23

    Content type: Research article

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  26. Regulatory approval of next generation sequencing (NGS) by the FDA is advancing the use of genomic-based precision medicine for the therapeutic management of cancer as standard care. Recent FDA guidance for th...

    Authors: Grace K. Dy, Mary K. Nesline, Antonios Papanicolau-Sengos, Paul DePietro, Charles M. LeVea, Amy Early, Hongbin Chen, Anne Grand’Maison, Patrick Boland, Marc S. Ernstoff, Stephen Edge, Stacey Akers, Mateusz Opyrchal, Gurkamal Chatta, Kunle Odunsi, Sarabjot Pabla…

    Citation: BMC Medical Informatics and Decision Making 2019 19:14

    Content type: Research article

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  27. Joint models (JM) have emerged as a promising statistical framework to concurrently analyse survival data and multiple longitudinal responses. This is particularly relevant in clinical studies where the goal i...

    Authors: Hugo Loureiro, Eunice Carrasquinha, Irina Alho, Arlindo R. Ferreira, Luís Costa, Alexandra M. Carvalho and Susana Vinga

    Citation: BMC Medical Informatics and Decision Making 2019 19:13

    Content type: Research article

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  28. This paper suggests a method to assess the extent to which ultra-short Heart Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of short HRV features (nominally 5 min). Sho...

    Authors: R. Castaldo, L. Montesinos, P. Melillo, C. James and L. Pecchia

    Citation: BMC Medical Informatics and Decision Making 2019 19:12

    Content type: Research article

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  29. Colorectal cancer (CRC) screening has shown to reduce incidence and mortality rates, and therefore is widely recommended for people above 50 years-old. However, despite the implementation of population-based s...

    Authors: Lilisbeth Perestelo-Perez, Amado Rivero-Santana, Alezandra Torres-Castaño, Vanesa Ramos-Garcia, Yolanda Alvarez-Perez, Nerea Gonzalez-Hernandez, Andrea Buron, Michael Pignone and Pedro Serrano-Aguilar

    Citation: BMC Medical Informatics and Decision Making 2019 19:8

    Content type: Research article

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  30. Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study ev...

    Authors: Manuel Huber, Christoph Kurz and Reiner Leidl

    Citation: BMC Medical Informatics and Decision Making 2019 19:3

    Content type: Research article

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  31. The Cancer of the Prostate Risk Assessment (CAPRA) score was designed and validated several times to predict the biochemical recurrence-free survival after a radical prostatectomy. Our objectives were, first, ...

    Authors: Marine Lorent, Haïfa Maalmi, Philippe Tessier, Stéphane Supiot, Etienne Dantan and Yohann Foucher

    Citation: BMC Medical Informatics and Decision Making 2019 19:2

    Content type: Research article

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  32. Breast cancer chemoprevention can reduce breast cancer incidence in high-risk women; however, chemoprevention is underutilized in the primary care setting. We conducted a pilot study of decision support tools ...

    Authors: Rita Kukafka, Jiaqi Fang, Alejandro Vanegas, Thomas Silverman and Katherine D. Crew

    Citation: BMC Medical Informatics and Decision Making 2018 18:134

    Content type: Research article

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  33. Decision-making about palliative care for metastatic colorectal cancer (mCRC) consists of many different treatment-related decisions, and there generally is no best treatment option. Decision support systems (...

    Authors: Ellen G. Engelhardt, Dóra Révész, Hans J. Tamminga, Cornelis J. A. Punt, Miriam Koopman, Bregje D. Onwuteaka-Philipsen, Ewout W. Steyerberg, Henrica C. W. de Vet and Veerle M. H. Coupé

    Citation: BMC Medical Informatics and Decision Making 2018 18:132

    Content type: Research article

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  34. As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken. We aim to predict a diagnosis o...

    Authors: Douglas Teoh

    Citation: BMC Medical Informatics and Decision Making 2018 18:127

    Content type: Technical advance

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  35. Common measures used to describe preventive treatment effects today are proportional, i.e. they compare the proportions of events in relative or absolute terms, however they are not easily interpreted from the...

    Authors: Erik Berglund, Ragnar Westerling, Johan Sundström and Per Lytsy

    Citation: BMC Medical Informatics and Decision Making 2018 18:106

    Content type: Research article

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  36. To identify publicly available internet resources and assess their likelihood to support women making informed decisions about, and between, fertility preservation procedures before starting their cancer treat...

    Authors: N. Mahmoodi, H. L. Bekker, N. V. King, J. Hughes and G. L. Jones

    Citation: BMC Medical Informatics and Decision Making 2018 18:104

    Content type: Research article

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  37. The National Sleep Research Resource (NSRR) is a large-scale, openly shared, data repository of de-identified, highly curated clinical sleep data from multiple NIH-funded epidemiological studies. Although many...

    Authors: Licong Cui, Ningzhou Zeng, Matthew Kim, Remo Mueller, Emily R. Hankosky, Susan Redline and Guo-Qiang Zhang

    Citation: BMC Medical Informatics and Decision Making 2018 18:99

    Content type: Research article

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  38. Headache disorders are an important health burden, having a large health-economic impact worldwide. Current treatment & follow-up processes are often archaic, creating opportunities for computer-aided and deci...

    Authors: Gilles Vandewiele, Femke De Backere, Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens, Sofie Van Hoecke, Vincent Keereman, Koen Paemeleire, Femke Ongenae and Filip De Turck

    Citation: BMC Medical Informatics and Decision Making 2018 18:98

    Content type: Research article

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  39. Technological support may be crucial in optimizing healthcare professional practice and improving patient outcomes. A focus on electronic health records has left other technological supports relatively neglect...

    Authors: C Keyworth, J Hart, C J Armitage and M P Tully

    Citation: BMC Medical Informatics and Decision Making 2018 18:93

    Content type: Research article

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  40. Trio studies, which involve the testing of samples from a proband and both parents, are often used by clinical laboratories to help with the classification of genetic variants, including copy number variants. ...

    Authors: Daniel Xia, Chen Zhang, Va Lip, Marian Harris and Yiping Shen

    Citation: BMC Medical Informatics and Decision Making 2018 18:91

    Content type: Software

    Published on:

  41. The health area is one of the most affected systems on the perspective of decision-making with multiobjectives, thus becoming prone to errors in the final solution, however, multicriteria decision analysis (MD...

    Authors: Talita D. C. Frazão, Deyse G. G. Camilo, Eric L. S. Cabral and Ricardo P. Souza

    Citation: BMC Medical Informatics and Decision Making 2018 18:90

    Content type: Research article

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  42. Molecular precision oncology is an emerging practice to improve cancer therapy by decreasing the risk of choosing treatments that lack efficacy or cause adverse events. However, the challenges of integrating m...

    Authors: Franziska Singer, Anja Irmisch, Nora C. Toussaint, Linda Grob, Jochen Singer, Thomas Thurnherr, Niko Beerenwinkel, Mitchell P. Levesque, Reinhard Dummer, Luca Quagliata, Sacha I. Rothschild, Andreas Wicki, Christian Beisel and Daniel J. Stekhoven

    Citation: BMC Medical Informatics and Decision Making 2018 18:89

    Content type: Research article

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  43. Patients suffering obstructive sleep apnea are mainly treated with continuous positive airway pressure (CPAP). Although it is a highly effective treatment, compliance with this therapy is problematic to achiev...

    Authors: Xavier Rafael-Palou, Cecilia Turino, Alexander Steblin, Manuel Sánchez-de-la-Torre, Ferran Barbé and Eloisa Vargiu

    Citation: BMC Medical Informatics and Decision Making 2018 18:81

    Content type: Research article

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  44. Usability flaws in medication alerting systems may have a negative impact on clinical use and patient safety. In order to prevent the release of alerting systems that contain such flaws, it is necessary to pro...

    Authors: Romaric Marcilly, Elske Ammenwerth, Erin Roehrer, Julie Niès and Marie-Catherine Beuscart-Zéphir

    Citation: BMC Medical Informatics and Decision Making 2018 18:69

    Content type: Research article

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  45. The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing wo...

    Authors: Yiqing Zhao, Nooshin J. Fesharaki, Hongfang Liu and Jake Luo

    Citation: BMC Medical Informatics and Decision Making 2018 18:61

    Content type: Research article

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  46. Approaches to nurse staffing are commonly concerned with determining the minimum number of care hours according to the illness severity of patients. However, there is a gap in the literature considering multi-...

    Authors: Ana Respicio, Margarida Moz, Margarida Vaz Pato, Rute Somensi and Cecília Dias Flores

    Citation: BMC Medical Informatics and Decision Making 2018 18:53

    Content type: Research article

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  47. Despite the growing interest in developing markers for predicting treatment response and optimizing treatment decisions, an appropriate methodology to identify, combine and evaluate such markers has been slow ...

    Authors: Parvin Tajik, Mohammad Hadi Zafarmand, Aeilko H. Zwinderman, Ben W. Mol and Patrick M. Bossuyt

    Citation: BMC Medical Informatics and Decision Making 2018 18:52

    Content type: Technical advance

    Published on:

  48. The performance of Computer Aided Diagnosis Systems for early melanoma detection relies mainly on quantitative evaluation of the geometric features corresponding to skin lesions. In these systems, diagnosis is...

    Authors: Agustin Sancen-Plaza, Raul Santiago-Montero, Humberto Sossa, Francisco J. Perez-Pinal, Juan J. Martinez-Nolasco and Jose A. Padilla-Medina

    Citation: BMC Medical Informatics and Decision Making 2018 18:50

    Content type: Research article

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  49. As patients become more engaged in decisions regarding their medical care, they must weigh the potential benefits and harms of different treatments. Patients who are low in numeracy may be at a disadvantage wh...

    Authors: Rachel F. Eyler, Sara Cordes, Benjamin R. Szymanski and Liana Fraenkel

    Citation: BMC Medical Informatics and Decision Making 2018 18:40

    Content type: Research article

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