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Call for papers - Open source medical software

Guest Editor:
Shawn MurphyMass General Brigham and Harvard Medical School, Boston MA, USA

Submission Status: Open   |   Submission Deadline: 31 October 2024


BMC Medical Informatics and Decision Making is calling for submissions to our Collection on "Open source medical software".  This collection welcomes articles presenting novel developments in open-source medical software used to diagnose, manage, and monitor human diseases, and their practical applications across all medical fields. Work presenting open source software for medical imaging and image processing will not be considered, but will be suitable for BMC Medical Imaging.

Meet the Guest Editors

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Shawn MurphyMass General Brigham and Harvard Medical School, Boston MA, USA

Dr Murphy is the Chief Research Information Officer for Partners HealthCare, Professor of Neurology at Harvard Medical School, and serves as Associate Director for the Laboratory of Computer Science at the Massachusetts General Hospital. Dr Murphy developed the Research Patient Data Registry for Mass General Brigham.  He was the principal architect for the NIH-sponsored Informatics for Integrating Biology and the Bedside (i2b2), an open-source project that integrates data from the hospital medical record and the bioinformatics community into a common software platform, with over 250 operating installations worldwide. 

 

About the collection

BMC Medical Informatics and Decision Making is calling for submissions to our Collection on "Open source medical software". This collection welcomes articles presenting novel developments in open-source medical software used to diagnose, manage, and monitor human diseases, and their practical applications across all medical fields. This includes but is not limited to biosurveillance software, electronic health information systems, hospital information systems, disease management systems, software for visualization and analysis of biomedical data, and processing tools. Work presenting open source software for medical imaging and image processing will not be considered, but will be suitable for BMC Medical Imaging.


Image credit: Suriyo/Stock.adobe.com

  1. The integrity of clinical research and machine learning models in healthcare heavily relies on the quality of underlying clinical laboratory data. However, the preprocessing of this data to ensure its reliabil...

    Authors: Ahmed Medhat Zayed, Arne Janssens, Pavlos Mamouris and Nicolas Delvaux
    Citation: BMC Medical Informatics and Decision Making 2024 24:245
  2. The healthcare industry has been put to test the need to manage enormous amounts of data provided by various sources, which are renowned for providing enormous quantities of heterogeneous information. The data...

    Authors: Abdullah Alharbi, Wael Alosaimi, Hashem Alyami, Bader Alouffi, Ahmed Almulihi, Mohd Nadeem, Mohd Asim Sayeed and Raees Ahmad Khan
    Citation: BMC Medical Informatics and Decision Making 2024 24:240
  3. Electronic health records (EHRs) are currently gaining popularity in emerging economies because they provide options for exchanging patient data, increasing operational efficiency, and improving patient outcom...

    Authors: Edith Antor, Joseph Owusu-Marfo and Jonathan Kissi
    Citation: BMC Medical Informatics and Decision Making 2024 24:231
  4. Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains. The assessment of dataset quality stands as a pivotal precursor to the suc...

    Authors: Meysam Ahangaran, Hanzhi Zhu, Ruihui Li, Lingkai Yin, Joseph Jang, Arnav P. Chaudhry, Lindsay A. Farrer, Rhoda Au and Vijaya B. Kolachalama
    Citation: BMC Medical Informatics and Decision Making 2024 24:152
  5. Multimodal histology image registration is a process that transforms into a common coordinate system two or more images obtained from different microscopy modalities. The combination of information from variou...

    Authors: Rodrigo Escobar Díaz Guerrero, José Luis Oliveira, Juergen Popp and Thomas Bocklitz
    Citation: BMC Medical Informatics and Decision Making 2024 24:65

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Open source medical software" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.