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  1. The use of health information technology (HIT) to improve patient safety is widely advocated by governmental and safety agencies. Electronic-prescribing and smart-pump technology are examples of HIT medication...

    Authors: Moninne M. Howlett, Brian J. Cleary and Cormac V. Breatnach
    Citation: BMC Medical Informatics and Decision Making 2018 18:130
  2. Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients with early gastric cancer (EGC) is high after surgical resection. To strengthen diagnosing and ...

    Authors: Mi-Mi Liu, Li Wen, Yong-Jia Liu, Qiao Cai, Li-Ting Li and Yong-Ming Cai
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):121

    This article is part of a Supplement: Volume 18 Supplement 5

  3. Health professionals and consumers use different terms to express medical events or concerns, which makes the communication barriers between the professionals and consumers. This may lead to bias in the diagno...

    Authors: Li Hou, Hongyu Kang, Yan Liu, Luqi Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):120

    This article is part of a Supplement: Volume 18 Supplement 5

  4. The Gene Ontology (GO) is a resource that supplies information about gene product function using ontologies to represent biological knowledge. These ontologies cover three domains: Cellular Component (CC), Mol...

    Authors: Ruoyao Ding, Yingying Qu, Cathy H. Wu and K. Vijay-Shanker
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):119

    This article is part of a Supplement: Volume 18 Supplement 5

  5. Colorectal Cancer (CRC) is the third leading cause of cancer death among men and women in the United States. Research has shown that the risk of CRC associates with genetic and lifestyle factors. It is possibl...

    Authors: Jiannan Liu, Chenyang Li, Jing Xu and Huanmei Wu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):118

    This article is part of a Supplement: Volume 18 Supplement 5

  6. The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitativ...

    Authors: Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao and Ruoyao Ding
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):117

    This article is part of a Supplement: Volume 18 Supplement 5

  7. Data heterogeneity is a common phenomenon related to the secondary use of electronic health records (EHR) data from different sources. The Observational Health Data Sciences and Informatics (OHDSI) Common Data...

    Authors: Na Hong, Ning Zhang, Huawei Wu, Shanshan Lu, Yue Yu, Li Hou, Yinying Lu, Hongfang Liu and Guoqian Jiang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):116

    This article is part of a Supplement: Volume 18 Supplement 5

  8. Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis ...

    Authors: Suyan Tian, Chi Wang and Howard H. Chang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):115

    This article is part of a Supplement: Volume 18 Supplement 5

  9. Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accur...

    Authors: Kai Xu, Zhanfan Zhou, Tao Gong, Tianyong Hao and Wenyin Liu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):114

    This article is part of a Supplement: Volume 18 Supplement 5

  10. Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Current...

    Authors: Sicheng Zhou, Hong Kang, Bin Yao and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):113

    This article is part of a Supplement: Volume 18 Supplement 5

  11. To realize semantic interoperability for Primary Health Information System (PHIS), this study analyzes and applies existing health information data standards in China. This research aims to establish a Primary...

    Authors: Xia Zhao, Xiaohua Li, Wei Yang, Qianjin Feng, Yi Zhou and Qiong Wang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):112

    This article is part of a Supplement: Volume 18 Supplement 5

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:144

  12. Automated seizure detection from clinical EEG data can reduce the diagnosis time and facilitate targeting treatment for epileptic patients. However, current detection approaches mainly rely on limited features...

    Authors: Xiaoyan Wei, Lin Zhou, Ziyi Chen, Liangjun Zhang and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):111

    This article is part of a Supplement: Volume 18 Supplement 5

  13. Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems r...

    Authors: Hong Kang, Sicheng Zhou, Bin Yao and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):110

    This article is part of a Supplement: Volume 18 Supplement 5

  14. Colorectal cancer incidence and mortality have been increasing in China and as one of the most important health problems facing the nation. Adequate dissemination of correct information about colorectal cancer...

    Authors: Shun Zhang, Yao Yang, Dongyi Yan, Biao Yuan, Xiaohua Jiang and Chun Song
    Citation: BMC Medical Informatics and Decision Making 2018 18:129
  15. Extracting primary care information in terms of Patient/Problem, Intervention, Comparison and Outcome, known as PICO elements, is difficult as the volume of medical information expands and the health semantics...

    Authors: Samir Chabou and Michal Iglewski
    Citation: BMC Medical Informatics and Decision Making 2018 18:128
  16. 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
  17. With advancements in information technology, computerized physician order entry (CPOE) and electronic Medical Records (eMR), have become widely utilized in medical settings. The predominant mode of CPOE in Tai...

    Authors: George Linn, Yung-Hsiang Ying and Koyin Chang
    Citation: BMC Medical Informatics and Decision Making 2018 18:109
  18. Patient portal use can be a stimulant for patient engagement. Yet, the heterogeneous landscape of tethered patient portals, is a major barrier to further portal development and implementation. A variety in por...

    Authors: Gaby Anne Wildenbos, Frank Horenberg, Monique Jaspers, Linda Peute and Danielle Sent
    Citation: BMC Medical Informatics and Decision Making 2018 18:108
  19. The decreasing cost of obtaining high-quality calls of genomic variants and the increasing availability of clinically relevant data on such variants are important drivers for personalized oncology. To allow ra...

    Authors: Johannes Starlinger, Steffen Pallarz, Jurica Å eva, Damian Rieke, Christine Sers, Ulrich Keilholz and Ulf Leser
    Citation: BMC Medical Informatics and Decision Making 2018 18:107
  20. 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
  21. Longevity creates increasing care needs for healthcare providers and family caregivers. Increasingly, the burden of care falls to one primary caregiver, increasing stress and reducing health outcomes. Addition...

    Authors: Yuri Quintana, Bradley Crotty, Darren Fahy, Lewis Lipsitz, Roger B. Davis and Charles Safran
    Citation: BMC Medical Informatics and Decision Making 2018 18:105
  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
  23. To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using dimensional reduction visualization methods.

    Authors: Alexander Rosenberg, Christopher Fucile, Robert J. White, Melissa Trayhan, Samir Farooq, Caroline M. Quill, Lisa A. Nelson, Samuel J. Weisenthal, Kristen Bush and Martin S. Zand
    Citation: BMC Medical Informatics and Decision Making 2018 18:103
  24. Researchers paid little attention to understanding the association of organizational and human factors with patients’ perceived security in the context of health organizations. This study aims to address numer...

    Authors: Hamid Reza Peikari, Ramayah T., Mahmood Hussain Shah and May Chiun Lo
    Citation: BMC Medical Informatics and Decision Making 2018 18:102
  25. Recent decades have seen rapid growth in the implementation of Electronic Medical Records (EMRs) in healthcare settings in both developed regions as well as low and middle income countries. Yet despite substan...

    Authors: Amy O’Donnell, Eileen Kaner, Caroline Shaw and Catherine Haighton
    Citation: BMC Medical Informatics and Decision Making 2018 18:101
  26. Technology can potentially enable the implementation of a value-based healthcare system, where the impact of quality of care is offered at optimised cost for maximised patient benefit. Technology can deliver v...

    Authors: Edward Meinert, Abrar Alturkistani, David Brindley, Peter Knight, Glenn Wells and Nick de Pennington
    Citation: BMC Medical Informatics and Decision Making 2018 18:100
  27. 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
  28. 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
  29. Mandates abound to share publicly-funded research data for reuse, while data platforms continue to emerge to facilitate such reuse. Birth cohorts (BC) involve longitudinal designs, significant sample sizes and...

    Authors: Kiran Pohar Manhas, Shawn X. Dodd, Stacey Page, Nicole Letourneau, Carol E. Adair, Xinjie Cui and Suzanne C. Tough
    Citation: BMC Medical Informatics and Decision Making 2018 18:97
  30. Increasing mobile phone ownership, functionality and access to mobile-broad band internet services has triggered growing interest to harness the potential of mobile phone technology to improve health services ...

    Authors: Solomon Shiferaw, Andualem Workneh, Robel Yirgu, Geert-Jan Dinant and Mark Spigt
    Citation: BMC Medical Informatics and Decision Making 2018 18:96
  31. Mobile technology is ubiquitous. Women of childbearing age have embraced health information technology for pregnancy-related counsel as prenatal care provider communication is increasingly scarce and brief. Pr...

    Authors: Lyra Halili, Rebecca Liu, Kelly Ann Hutchinson, Kevin Semeniuk, Leanne M. Redman and Kristi B. Adamo
    Citation: BMC Medical Informatics and Decision Making 2018 18:95
  32. Cost effectiveness research is emerging in the chronic kidney disease (CKD) research field. Especially, an individual-level state transition model (microsimulation) is widely used for these researches. Some re...

    Authors: Shusuke Hiragi, Hiroshi Tamura, Rei Goto and Tomohiro Kuroda
    Citation: BMC Medical Informatics and Decision Making 2018 18:94
  33. 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
  34. In recent years, inter-municipal cooperation in healthcare services has been an important measure implemented to meet future demographic changes in western countries. This entails an increased focus on communi...

    Authors: Elisabeth Holen-Rabbersvik, Elin Thygesen, Tom Roar Eikebrokk, Rune Werner Fensli and Åshild Slettebø
    Citation: BMC Medical Informatics and Decision Making 2018 18:92
  35. 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
  36. 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
  37. 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
  38. Online health information is unregulated and can be of highly variable quality. There is currently no singular quantitative tool that has undergone a validation process, can be used for a broad range of health...

    Authors: Julie M. Robillard, Jessica H. Jun, Jen-Ai Lai and Tanya L. Feng
    Citation: BMC Medical Informatics and Decision Making 2018 18:87
  39. Pharmacovigilance consists in monitoring and preventing the occurrence of adverse drug reactions (ADR). This activity requires the collection and analysis of data from the patient record or any other sources t...

    Authors: Thibault Ledieu, Guillaume Bouzillé, Frantz Thiessard, Karine Berquet, Pascal Van Hille, Eric Renault, Elisabeth Polard and Marc Cuggia
    Citation: BMC Medical Informatics and Decision Making 2018 18:86
  40. Increased digitalization of healthcare comes along with the cost of cybercrime proliferation. This results to patients’ and healthcare providers' skepticism to adopt Health Information Technologies (HIT). In E...

    Authors: Pantelis Natsiavas, Janne Rasmussen, Maja Voss-Knude, Κostas Votis, Luigi Coppolino, Paolo Campegiani, Isaac Cano, David Marí, Giuliana Faiella, Fabrizio Clemente, Marco Nalin, Evangelos Grivas, Oana Stan, Erol Gelenbe, Jos Dumortier, Jan Petersen…
    Citation: BMC Medical Informatics and Decision Making 2018 18:85
  41. The objective of this study was to investigate the impact of patient portal adoption on patients’ primary care utilization and appointment adherence.

    Authors: Xiang Zhong, Muxuan Liang, Reynerio Sanchez, Menggang Yu, Pamela R. Budd, Julie L. Sprague and Marvin A. Dewar
    Citation: BMC Medical Informatics and Decision Making 2018 18:84
  42. Recently, attention has shifted to improving the design of computerized alerts via the incorporation of human factors design principles. The Instrument for Evaluating Human Factors Principles in Medication-Rel...

    Authors: Melissa T Baysari, David Lowenstein, Wu Yi Zheng and Richard O Day
    Citation: BMC Medical Informatics and Decision Making 2018 18:83
  43. Current advances in information and communication technology have made accessing and obtaining health-related information easier than ever before. Today, many hospital websites use a patient-centric approach t...

    Authors: Dari Alhuwail, Zainab AlMeraj and Fatima Boujarwah
    Citation: BMC Medical Informatics and Decision Making 2018 18:82
  44. 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
  45. Worldwide, over 14% of individuals hospitalized for psychiatric reasons have readmissions to hospitals within 30 days after discharge. Predicting patients at risk and leveraging accelerated interventions can r...

    Authors: Khader Shameer, M. Mercedes Perez-Rodriguez, Roy Bachar, Li Li, Amy Johnson, Kipp W. Johnson, Benjamin S. Glicksberg, Milo R. Smith, Ben Readhead, Joseph Scarpa, Jebakumar Jebakaran, Patricia Kovatch, Sabina Lim, Wayne Goodman, David L. Reich, Andrew Kasarskis…
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 3):79

    This article is part of a Supplement: Volume 18 Supplement 3

  46. Clinical notes such as discharge summaries have a semi- or unstructured format. These documents contain information about diseases, treatments, drugs, etc. Extracting meaningful information from them becomes c...

    Authors: Ruth Reátegui and Sylvie Ratté
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 3):74

    This article is part of a Supplement: Volume 18 Supplement 3

  47. Numerous hospitals and organizations have recently endeavored to study the effects of real-time location systems. However, their experiences of system adoption or pilot testing via implementation were not shar...

    Authors: Sooyoung Yoo, Seok Kim, Eunhye Kim, Eunja Jung, Kee-Hyuck Lee and Hee Hwang
    Citation: BMC Medical Informatics and Decision Making 2018 18:80
  48. With connected medical devices fast becoming ubiquitous in healthcare monitoring there is a deluge of data coming from multiple body-attached sensors. Transforming this flood of data into effective and efficie...

    Authors: Rahul Krishnan Pathinarupothi, P. Durga and Ekanath Srihari Rangan
    Citation: BMC Medical Informatics and Decision Making 2018 18:78
  49. Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly active antiretroviral therapy (HAART) should lead to undetectable viral loa...

    Authors: Kuteesa R. Bisaso, Susan A. Karungi, Agnes Kiragga, Jackson K. Mukonzo and Barbara Castelnuovo
    Citation: BMC Medical Informatics and Decision Making 2018 18:77
  50. Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic heal...

    Authors: Shaker El-Sappagh, Francesco Franda, Farman Ali and Kyung-Sup Kwak
    Citation: BMC Medical Informatics and Decision Making 2018 18:76

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