Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being.

The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic - data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field.

The workshop is held in conjuction with the 46th International Conference on Very Large Databases, for more information please see https://vldb2020.org/

This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. A number of invited papers will also be solicited.

Topics of interest include, but not limited to:

Big data management for medical data;
Blockchain for healthcare;
Biomedical data integration;
Biomedical knowledge management and decision support;
Semantics and interoperability for healthcare data;
Clinical natural language processing and text mining;
Predictive modelling for diagnosis and treatment;
Visual analytics for medical data;
Medical image analytics;
Data privacy and security for healthcare data;
Hospital readmission analytics;
Medical fraud detection;
Social media and Web data analytics for public health (public health 2.0);
Data analytics for pervasive computing for medical care.


Important Dates

Abstract (optional): May 29, 2020
Individual Workshop Papers: June 5, 2020
Notification of Acceptance: July 3, 2020
Camera Ready: July 10, 2020
Workshop date: September 04, 2020


Submission Guidelines

Submitted papers can be of these types:

1. Regular Research Papers: These papers should report original research results or significant case studies. They should be at most 18 pages.
2. Short Papers: These papers may summarise work-in-progress or extensions to previous research papers. They should be at most 6 pages.
3. Extended Abstracts. The extended abstracts will present novel research directions or identify challenging problems. They should be at most 2 pages.

Please format your paper based on Springer LNCS template.

To submit a paper, go to the DMAH2019 submission system (https://easychair.org/conferences/?conf=dmah2019 ). Only papers submitted via the DMAH2019 submission system will be considered for review.
Publications

All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer.