Skip to main content

Articles

62 result(s) for 'data patient records possible hospital breach' within BMC Medical Informatics and Decision Making

Page 2 of 2

  1. Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. We assess...

    Authors: Sujen Man Maharjan, Anubhuti Poudyal, Alastair van Heerden, Prabin Byanjankar, Ada Thapa, Celia Islam, Brandon A. Kohrt and Ashley Hagaman
    Citation: BMC Medical Informatics and Decision Making 2021 21:117
    Content type: Research article Published on:

  2. The number of electronic health record (EHR)-based notifications continues to rise. One common method to deliver urgent and emergent notifications (alerts) is paging. Despite of wide presence of smartphones, t...

    Authors: Mikhail A. Dziadzko, Andrew M. Harrison, Ing C. Tiong, Brian W. Pickering, Pablo Moreno Franco and Vitaly Herasevich
    Citation: BMC Medical Informatics and Decision Making 2016 16:156
    Content type: Research article Published on:

  3. This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical recor...

    Authors: Zengjing Liu, Zhihao Meng, Di Wei, Yuan Qin, Yu Lv, Luman Xie, Hong Qiu, Bo Xie, Lanxiang Li, Xihua Wei, Die Zhang, Boying Liang, Wen Li, Shanfang Qin, Tengyue Yan, Qiuxia Meng…
    Citation: BMC Medical Informatics and Decision Making 2024 24:110
    Content type: Research Published on:

  4. Precise prediction of esophageal squamous cell carcinoma (ESCC) invasion depth is crucial not only for optimizing treatment plans but also for reducing the need for invasive procedures, consequently lowering c...

    Authors: Xiaoli Wu, Hao Wu, Shouliang Miao, Guoquan Cao, Huang Su, Jie Pan and Yilun Xu
    Citation: BMC Medical Informatics and Decision Making 2024 24:3
    Content type: Research Published on:

  5. 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
    Content type: Debate Published on:

  6. Modern data driven medical research promises to provide new insights into the development and course of disease and to enable novel methods of clinical decision support. To realize this, machine learning model...

    Authors: Johanna Eicher, Raffael Bild, Helmut Spengler, Klaus A. Kuhn and Fabian Prasser
    Citation: BMC Medical Informatics and Decision Making 2020 20:29
    Content type: Software Published on:

  9. Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long...

    Authors: Carolyn E. Clausen, Bennett L. Leventhal, Øystein Nytrø, Roman Koposov, Odd Sverre Westbye, Thomas Brox Røst, Victoria Bakken, Kaban Koochakpour, Ketil Thorvik and Norbert Skokauskas
    Citation: BMC Medical Informatics and Decision Making 2020 20:232
    Content type: Study protocol Published on:

  10. Improving retention in prevention of mother to child transmission (PMTCT) of HIV programs is critical to optimize maternal and infant health outcomes, especially now that lifelong treatment is immediate regard...

    Authors: Patricia Opondo Awiti, Alessandra Grotta, Mia van der Kop, John Dusabe, Anna Thorson, Jonathan Mwangi, Rino Belloco, Richard Lester, Laura Ternent, Edwin Were and Anna Mia Ekström
    Citation: BMC Medical Informatics and Decision Making 2016 16:86
    Content type: Study protocol Published on:

  11. Information and communication technologies have become a vital infrastructural asset for use in the retention of rural health workers. However, little is known about the potential influence of ICT use, percept...

    Authors: Walter Onen Yagos, Geoffrey Tabo Olok and Emilio Ovuga
    Citation: BMC Medical Informatics and Decision Making 2017 17:6
    Content type: Research article Published on:

  12. 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:
Submit manuscript

Annual Journal Metrics

  • 2022 Citation Impact
    3.5 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.384 - SNIP (Source Normalized Impact per Paper)
    0.940 - SJR (SCImago Journal Rank)

    2023 Speed
    37 days submission to first editorial decision for all manuscripts (Median)
    213 days submission to accept (Median)

    2023 Usage 
    2,588,758 downloads
    2,443 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Follow

Sign up for article alerts and news from this journal

BMC Medical Informatics and Decision Making

ISSN: 1472-6947

Contact us