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

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  1. 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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  2. 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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  3. 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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  4. 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

  5. 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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  6. 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

  7. 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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  8. 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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  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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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  17. 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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  18. 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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  19. 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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  20. 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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  21. 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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  22. 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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  23. 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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  24. 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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  25. 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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  26. 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

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  27. 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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  28. 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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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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

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  34. 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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  35. 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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  37. It is essential that cancer patients understand anticipated symptoms, how to self-manage these symptoms, and when to call their clinicians. However, patients are often ill-prepared to manage symptoms at home. ...

    Authors: Mary E. Cooley, Janet L. Abrahm, Donna L. Berry, Michael S. Rabin, Ilana M. Braun, Joanna Paladino, Manan M. Nayak and David F. Lobach

    Citation: BMC Medical Informatics and Decision Making 2018 18:31

    Content type: Research article

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  38. Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated...

    Authors: Jeongeun Lee, Hyun-Je Song, Eunsil Yoon, Seong-Bae Park, Sung-Hye Park, Jeong-Wook Seo, Peom Park and Jinwook Choi

    Citation: BMC Medical Informatics and Decision Making 2018 18:29

    Content type: Research article

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  39. Although evidence-based practice in healthcare has been facilitated by Internet access through wireless mobile devices, research on the effectiveness of clinical decision support for clinicians at the point of...

    Authors: Kyungsook Gartrell, Caitlin W. Brennan, Gwenyth R. Wallen, Fang Liu, Karen G. Smith and Paul Fontelo

    Citation: BMC Medical Informatics and Decision Making 2018 18:27

    Content type: Research article

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  40. The use of measurement instruments has become a major issue in physical therapy, but their use in daily practice is rare. The aim of this paper is to describe adherence to standardized assessments by physical ...

    Authors: Tania Gutiérrez Panchana and Viviane Hidalgo Cabalín

    Citation: BMC Medical Informatics and Decision Making 2018 18:21

    Content type: Research article

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  41. The frequency of head computed tomography (CT) imaging for mild head trauma patients has raised safety and cost concerns. Validated clinical decision rules exist in the published literature and on-line sources...

    Authors: Ronald W. Gimbel, Ronald G. Pirrallo, Steven C. Lowe, David W. Wright, Lu Zhang, Min-Jae Woo, Paul Fontelo, Fang Liu and Zachary Connor

    Citation: BMC Medical Informatics and Decision Making 2018 18:20

    Content type: Research article

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  42. Traditional Chinese Medicine (TCM) is a style of traditional medicine informed by modern medicine but built on a foundation of more than 2500 years of Chinese medical practice. According to statistics, TCM acc...

    Authors: Jian-Xiang Wei, Jing Wang, Yun-Xia Zhu, Jun Sun, Hou-Ming Xu and Ming Li

    Citation: BMC Medical Informatics and Decision Making 2018 18:19

    Content type: Research article

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  43. Patient portals are considered valuable instruments for self-management of long term conditions, however, there are concerns over how patients might interpret and act on the clinical information they access. W...

    Authors: Paolo Fraccaro, Markel Vigo, Panagiotis Balatsoukas, Sabine N. van der Veer, Lamiece Hassan, Richard Williams, Grahame Wood, Smeeta Sinha, Iain Buchan and Niels Peek

    Citation: BMC Medical Informatics and Decision Making 2018 18:11

    Content type: Research article

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  44. The United States Preventive Services Task Force (USPSTF) issued recommendations for older, heavy lifetime smokers to complete annual low-dose computed tomography (LDCT) scans of the chest as screening for lun...

    Authors: Daniel S. Reuland, Laura Cubillos, Alison T. Brenner, Russell P. Harris, Bailey Minish and Michael P. Pignone

    Citation: BMC Medical Informatics and Decision Making 2018 18:5

    Content type: Research article

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  45. The evolving role of pharmacists in providing pharmaceutical care, as part of the healthcare team, challenges them to acquire up-to-date knowledge of medicines to make the best clinical decisions. The volume o...

    Authors: Ali Jasem Buabbas, Fatemah Mohammad Alsaleh, Hamza Mohamad Al-Shawaf, Ali Abdullah and Abdullah Almajran

    Citation: BMC Medical Informatics and Decision Making 2018 18:4

    Content type: Research article

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  46. The identification of patients at high risk of unplanned readmission is an important component of discharge planning strategies aimed at preventing unwanted returns to hospital. The aim of this study was to in...

    Authors: Yashar Maali, Oscar Perez-Concha, Enrico Coiera, David Roffe, Richard O. Day and Blanca Gallego

    Citation: BMC Medical Informatics and Decision Making 2018 18:1

    Content type: Research article

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  47. We studied the impact of a clinical decision support system (CDSS) implemented in a few wards of two Italian health care organizations on the ordering of redundant laboratory tests under different perspectives...

    Authors: Elena Bellodi, Emidia Vagnoni, Barbara Bonvento and Evelina Lamma

    Citation: BMC Medical Informatics and Decision Making 2017 17:179

    Content type: Research article

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  48. Little research has examined how physicians choose medical devices for treating individual patients to reveal if interventions are needed to support decision-making and reduce device-associated morbidity and m...

    Authors: Anna R. Gagliardi, Ariel Ducey, Pascale Lehoux, Thomas Turgeon, Jeremy Kolbunik, Sue Ross, Patricia Trbovich, Anthony Easty, Chaim Bell and David R. Urbach

    Citation: BMC Medical Informatics and Decision Making 2017 17:178

    Content type: Research article

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  49. It is beneficial for health care institutions to monitor physician prescribing patterns to ensure that high-quality and cost-effective care is being provided to patients. However, detecting treatment patterns ...

    Authors: Daniel Backenroth, Herbert S. Chase, Ying Wei and Carol Friedman

    Citation: BMC Medical Informatics and Decision Making 2017 17:175

    Content type: Technical advance

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  50. Safety checklist is a type of cognitive tool enforcing short term memory of medical workers with the purpose of reducing medical errors caused by overlook and ignorance. To facilitate the daily use of safety c...

    Authors: Shan Nan, Pieter Van Gorp, Xudong Lu, Uzay Kaymak, Hendrikus Korsten, Richard Vdovjak and Huilong Duan

    Citation: BMC Medical Informatics and Decision Making 2017 17:170

    Content type: Research article

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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