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  1. 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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  2. 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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  3. 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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  4. There is a shortage of medical informatics and data science platforms using cloud computing on electronic medical record (EMR) data, and with computing capacity for analyzing big data. We implemented, describe...

    Authors: Louis Ehwerhemuepha, Gary Gasperino, Nathaniel Bischoff, Sharief Taraman, Anthony Chang and William Feaster

    Citation: BMC Medical Informatics and Decision Making 2020 20:115

    Content type: Research article

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  5. 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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  6. Due to the increasing complexity in socioeconomic environments and the ambiguity in human cognition, decision makers prefer to give linguistic cognitive information with different granularities according to th...

    Authors: Wei Lu, Xin-pu Wang, Jie Zhao and Yun-kai Zhai

    Citation: BMC Medical Informatics and Decision Making 2020 20:113

    Content type: Research article

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  7. Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors ...

    Authors: Alia Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil R. Holland, Vida Abedi and Ramin Zand

    Citation: BMC Medical Informatics and Decision Making 2020 20:112

    Content type: Research article

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  8. 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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  9. The essential proteins in protein networks play an important role in complex cellular functions and in protein evolution. Therefore, the identification of essential proteins in a network can help to explain th...

    Authors: Caiyan Dai, Ju He, Kongfa Hu and Youwei Ding

    Citation: BMC Medical Informatics and Decision Making 2020 20:110

    Content type: Research article

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  10. 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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  11. Predictive patient stratification is greatly emerging, because it allows us to prospectively identify which patients will benefit from what interventions before their condition worsens. In the biomedical resea...

    Authors: Thanh-Trung Giang, Thanh-Phuong Nguyen and Dang-Hung Tran

    Citation: BMC Medical Informatics and Decision Making 2020 20:108

    Content type: Research article

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  12. Health care practice relies on evidence-based decisions and needs the use of quality health care data. Health management information system (HMIS) is among the core elements of health system building blocks. I...

    Authors: Mekonen Kebede, Emiru Adeba and Melese Chego

    Citation: BMC Medical Informatics and Decision Making 2020 20:107

    Content type: Research article

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  13. Infectious diseases that can cause epidemics, such as COVID-19, SARS-CoV, and MERS-CoV, constitute a major social issue, with healthcare providers fearing secondary, tertiary, and even quaternary infections. T...

    Authors: Dong-won Kim, Jin-young Choi and Keun-hee Han

    Citation: BMC Medical Informatics and Decision Making 2020 20:106

    Content type: Research article

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  14. Prior studies have explored the use of regular reminders to improve adherence among kidney transplant recipients (KTRs), but none have included real-time alarms about drug dosage, frequency, and interval. In t...

    Authors: Hee-Yeon Jung, Yena Jeon, Sook Jin Seong, Jung Ju Seo, Ji-Young Choi, Jang-Hee Cho, Sun-Hee Park, Chan-Duck Kim, Young-Ran Yoon, Se-Hee Yoon, Jong Soo Lee and Yong-Lim Kim

    Citation: BMC Medical Informatics and Decision Making 2020 20:105

    Content type: Research article

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  15. Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to th...

    Authors: Laura Kinkead, Ahmed Allam and Michael Krauthammer

    Citation: BMC Medical Informatics and Decision Making 2020 20:104

    Content type: Research Article

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  16. The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical center...

    Authors: Raffael Bild, Martin Bialke, Karoline Buckow, Thomas Ganslandt, Kristina Ihrig, Roland Jahns, Angela Merzweiler, Sybille Roschka, Björn Schreiweis, Sebastian Stäubert, Sven Zenker and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2020 20:103

    Content type: Technical advance

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  18. 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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  19. The inadequate follow-up of test results is a key patient safety concern, carrying severe consequences for care outcomes. Patients discharged from the emergency department are at particular risk of having test...

    Authors: Julie Li, Richard Paoloni, Ling Li, Joanne Callen, Johanna I. Westbrook, William B. Runciman and Andrew Georgiou

    Citation: BMC Medical Informatics and Decision Making 2020 20:100

    Content type: Research article

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  20. The Elliot wave principle commonly characterizes the impulsive and corrective wave trends for both financial market trends and electrocardiograms. The impulsive wave trends of electrocardiograms can annotate s...

    Authors: Jong-Rul Park, Sung Phil Chung, Sung Yeon Hwang, Tae Gun Shin and Jong Eun Park

    Citation: BMC Medical Informatics and Decision Making 2020 20:99

    Content type: Research article

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  21. 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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  22. Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques cou...

    Authors: Simone A. Cammel, Marit S. De Vos, Daphne van Soest, Kristina M. Hettne, Fred Boer, Ewout W. Steyerberg and Hileen Boosman

    Citation: BMC Medical Informatics and Decision Making 2020 20:97

    Content type: Research article

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  23. Health information systems are increasingly sophisticated and developing them is a challenge for software developers. Software engineers usually make use of UML as a standard model language that allows definin...

    Authors: M. A. Olivero, F. J. Domínguez-Mayo, C. L. Parra-Calderón, M. J. Escalona and A. Martínez-García

    Citation: BMC Medical Informatics and Decision Making 2020 20:96

    Content type: Research article

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  24. 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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  25. 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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  26. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily and Mohammed Khalaf

    Citation: BMC Medical Informatics and Decision Making 2020 20:93

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2019 19:253

  27. To evaluate the effect of a stand-alone mobile and web-based educational intervention (eHealth tool) compared to usual preparation of a first orthopedic consultation of patients with hip or knee osteoarthritis...

    Authors: Aniek A. O. M. Claassen, Henk J. Schers, Vincent J. J. F. Busch, Petra J. C. Heesterbeek, Frank H. J. van den Hoogen, Thea P. M. Vliet Vlieland and Cornelia H. M. van den Ende

    Citation: BMC Medical Informatics and Decision Making 2020 20:92

    Content type: Research article

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  28. 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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  29. Short messages service (SMS) provides a practical medium for delivering content to address patients to adherence to self-management. The aim of study was to design some patient-centered health education messag...

    Authors: Xuemei Wang, Dan Liu, Maolin Du, Ruiqi Hao, Huiqiu Zheng and Chaoli Yan

    Citation: BMC Medical Informatics and Decision Making 2020 20:90

    Content type: Research article

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  30. Systematic, automated methods for monitoring physician performance are necessary if outlying behavior is to be detected promptly and acted on. In the Michigan Urological Surgery Improvement Collaborative (MUSI...

    Authors: Michael Inadomi, Karandeep Singh, Ji Qi, Rodney Dunn, Susan Linsell, Brian Denton, Patrick Hurley, Eduardo Kleer, James Montie and Khurshid R. Ghani

    Citation: BMC Medical Informatics and Decision Making 2020 20:89

    Content type: Research article

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  31. 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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  32. Many telehealth systems have been designed to identify signs of exacerbations in patients with chronic obstructive pulmonary disease (COPD), but few previous studies have reported the nature of recorded lung f...

    Authors: Åsa Holmner, Fredrik Öhberg, Urban Wiklund, Eva Bergmann, Anders Blomberg and Karin Wadell

    Citation: BMC Medical Informatics and Decision Making 2020 20:87

    Content type: Research article

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  33. Geriatric patients frequently undergo emergency general surgery and accrue a greater risk of postoperative complications and fatal outcomes than the general population. It is highly relevant to develop the mos...

    Authors: Yang Cao, Gary A. Bass, Rebecka Ahl, Arvid Pourlotfi, Håkan Geijer, Scott Montgomery and Shahin Mohseni

    Citation: BMC Medical Informatics and Decision Making 2020 20:86

    Content type: Research article

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  34. With higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patient...

    Authors: Rahul Kashyap, Kumar Sarvottam, Gregory A. Wilson, Jacob C. Jentzer, Mohamed O. Seisa and Kianoush B. Kashani

    Citation: BMC Medical Informatics and Decision Making 2020 20:85

    Content type: Research article

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  36. Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased heal...

    Authors: Hang Qiu, Lin Luo, Ziqi Su, Li Zhou, Liya Wang and Yucheng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:83

    Content type: Research article

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  37. Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and mod...

    Authors: Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur and Zhiyong Lu

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 1):73

    Content type: Research

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    This article is part of a Supplement: Volume 20 Supplement 1

  38. Semantic textual similarity (STS) is a fundamental natural language processing (NLP) task which can be widely used in many NLP applications such as Question Answer (QA), Information Retrieval (IR), etc. It is ...

    Authors: Ying Xiong, Shuai Chen, Haoming Qin, He Cao, Yedan Shen, Xiaolong Wang, Qingcai Chen, Jun Yan and Buzhou Tang

    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 1):72

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 20 Supplement 1

  39. Information systems implementation projects have been historically plagued by failures for which user resistance has consistently been identified as a salient reason. Most prior studies investigated either the...

    Authors: Wen-Chou Chi, Po-Jin Lin, I-Chiu Chang and Sing-Liang Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:82

    Content type: Review

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  40. 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

    Published on:

  41. 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

    Published on:

  42. Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, bu...

    Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce and Majid Afshar

    Citation: BMC Medical Informatics and Decision Making 2020 20:79

    Content type: Research article

    Published on:

  43. 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

    Published on:

  44. After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617.

    Authors: Xia Ning, Chi Zhang, Kai Wang, Zhongming Zhao and Ewy Mathé

    Citation: BMC Medical Informatics and Decision Making 2020 20:77

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2020 20:51

  45. For a stress-management app to be persuasive and impactful, designers and developers should obtain a clear perspective of the value proposition according to key stakeholders before development. However, this i...

    Authors: Aniek Lentferink, Louis Polstra, Austin D’Souza, Hilbrand Oldenhuis, Hugo Velthuijsen and Lisette van Gemert-Pijnen

    Citation: BMC Medical Informatics and Decision Making 2020 20:76

    Content type: Research article

    Published on:

  46. Data quality assessment presents a challenge for research using coded administrative health data. The objective of this study is to develop and validate a set of coding association rules for coded diagnostic d...

    Authors: Mingkai Peng, Sangmin Lee, Adam G. D’Souza, Chelsea T. A. Doktorchik and Hude Quan

    Citation: BMC Medical Informatics and Decision Making 2020 20:75

    Content type: Research article

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  47. The effects of patient sustained self-care behaviors on glycemic control are even greater than the effects of medical treatment, indicating the value of identifying the factors that influence self-care behavio...

    Authors: Ming-Jye Wang, Hung-Ming Lin, Li-Chen Hung and Yi-Ting Lo

    Citation: BMC Medical Informatics and Decision Making 2020 20:74

    Content type: Research article

    Published on:

  48. In the UK, several initiatives have resulted in the creation of local data warehouses of electronic patient records. Originally developed for commissioning and direct patient care, they are potentially useful ...

    Authors: Alex Bottle, Carole Cohen, Amanda Lucas, Kavitha Saravanakumar, Zia Ul-Haq, Wayne Smith, Azeem Majeed and Paul Aylin

    Citation: BMC Medical Informatics and Decision Making 2020 20:71

    Content type: Research article

    Published on:

  49. Trials often struggle to achieve their target sample size with only half doing so. Some researchers have turned to Electronic Health Records (EHRs), seeking a more efficient way of recruitment. The Scottish He...

    Authors: Wen Shi, Tom Kelsey and Frank Sullivan

    Citation: BMC Medical Informatics and Decision Making 2020 20:70

    Content type: Research article

    Published on:

  50. 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

    Published on:

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