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  1. With the rapid development of sequencing technologies, collecting diverse types of cancer omics data become more cost-effective. Many computational methods attempted to represent and fuse multiple omics into a...

    Authors: Kaiwen Tan, Weixian Huang, Jinlong Hu and Shoubin Dong
    Citation: BMC Medical Informatics and Decision Making 2020 20(Suppl 3):129
    Content type: Research Published on:

    This article is part of a Supplement: Volume 20 Supplement 3

  2. Various methods based on k-anonymity have been proposed for publishing medical data while preserving privacy. However, the k-anonymity property assumes that adversaries possess fixed background knowledge. Althoug...

    Authors: Hyukki Lee and Yon Dohn Chung
    Citation: BMC Medical Informatics and Decision Making 2020 20:155
    Content type: Research article Published on:

  3. 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 Published on:

  4. Electronic personal health records (ePHRs) are defined as electronic applications through which individuals can access, manage, and share health information in a private, secure, and confidential environment. ...

    Authors: Zahra Niazkhani, Esmaeel Toni, Mojgan Cheshmekaboodi, Andrew Georgiou and Habibollah Pirnejad
    Citation: BMC Medical Informatics and Decision Making 2020 20:153
    Content type: Research article Published on:

  5. For real-time monitoring of hospital patients, high-quality inference of patients’ health status using all information available from clinical covariates and lab test results is essential to enable successful ...

    Authors: Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li and Barbara E Engelhardt
    Citation: BMC Medical Informatics and Decision Making 2020 20:152
    Content type: Technical Advance Published on:

  6. Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as...

    Authors: Nicola Brew-Sam, Arul Chib and Constanze Rossmann
    Citation: BMC Medical Informatics and Decision Making 2020 20:151
    Content type: Research article Published on:

  7. 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 Published on:

  8. 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 Published on:

  9. 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 Published on:

  10. Semantic interoperability is essential for improving data quality and sharing. The ISO/IEC 11179 Metadata Registry (MDR) standard has been highlighted as a solution for standardizing and registering clinical d...

    Authors: Hye Hyeon Kim, Yu Rang Park, Suehyun Lee and Ju Han Kim
    Citation: BMC Medical Informatics and Decision Making 2020 20:147
    Content type: Technical advance Published on:

  12. 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 Published on:

  13. 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 Published on:

  14. As a kind of widely distributed disease in China, acquired immune deficiency syndrome (AIDS) has been quickly growing each year, become a serious problem and caused serious damage to the life and health of peo...

    Authors: Zeming Li and Yanning Li
    Citation: BMC Medical Informatics and Decision Making 2020 20:143
    Content type: Research article Published on:

  15. The adoption of robotic-assisted surgery (RAS) requires a clear willingness, not only from healthcare organization to operate the robotic system but also from the public that is going to perceive it. This stud...

    Authors: Ali Jasem Buabbas, Saad Aldousari and Abrar Abdulmohsen Shehab
    Citation: BMC Medical Informatics and Decision Making 2020 20:140
    Content type: Research article Published on:

  16. 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 Published on:

  17. 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 Published on:

  18. 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 Published on:

  19. 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 Published on:

  20. 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 Published on:

  21. 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 Published on:

  22. 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 Published on:

  23. 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 Published on:

  24. 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 Published on:

  25. 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 Published on:

  26. 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 Published on:

  27. 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 Published on:

  28. 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 Published on:

  29. 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 Published on:

  30. 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 Published on:

  31. 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 Published on:

  33. 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 Published on:

  34. 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 Published on:

  35. 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 Published on:

  36. 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 Published on:

  37. 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 Published on:

  38. 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 Published on:

  39. 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 Published on:

  40. 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 Published on:

  41. 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

  42. 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 Published on:

  43. 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 Published on:

  44. 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 Published on:

  45. 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 Published on:

  46. 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 Published on:

  47. 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 Published on:

  48. 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 Published on:

  49. 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 Published on:
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BMC Medical Informatics and Decision Making

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