New Insights into Healthcare Analytics and Intelligent Decision Support Systems
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Informatics and Big Data".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1538
Special Issue Editor
Special Issue Information
Dear Colleagues,
Healthcare organizations face growing challenges in their efforts to manage large volumes of data while delivering high-quality care and containing costs. Healthcare analytics and intelligent decision support systems have emerged as essential tools to help organizations to make informed decisions, improve patient outcomes, and optimise resource utilization. Healthcare analytics involves using statistical and quantitative analysis techniques to extract insights from data, while intelligent decision support systems enable users to access, manipulate, and analyse data to support the application of artificial intelligent techniques.
The field of healthcare analytics and intelligent decision support systems has experienced rapid growth in recent years, driven by the increasing availability of data from electronic health records (EHRs), wearables, and other sources. This data present both opportunities and challenges for healthcare organizations, seeking to improve outcomes and reduce costs.
Healthcare analytics and intelligent decision support systems are multidisciplinary fields that draw on expertise from healthcare, computer science, statistics, and data science. They involve collecting, analysing, and interpreting data to generate insights that can inform decision making across various healthcare domains, including clinical care, population health management, and public health surveillance.
Healthcare analytics and intelligent decision support systems rely on various tools and techniques, including machine learning, predictive modelling, natural language processing, and social network analysis. These techniques enable healthcare organizations to identify patterns and relationships in data that might otherwise go unnoticed and to develop models that can predict future outcomes and inform decision making.
This Special Issue aims to bring together the latest research and insights into healthcare analytics and intelligent decision support systems, focusing on advancing knowledge and practice in this rapidly evolving field. In particular, the Issue seeks to highlight cutting-edge approaches and methodologies for application to data to improve patient outcomes, optimise resource utilization, and inform decision making across a range of healthcare domains, including clinical care, population health management, and public health surveillance.
This Special issue aims to provide a forum for researchers, practitioners, and policymakers to share their experiences, ideas, and innovations in healthcare analytics and intelligent decision support systems. We welcome original research and review articles that explore new directions in the field, propose novel solutions to existing challenges, and evaluate the impact of healthcare analytics and intelligent decision support systems on healthcare delivery, quality, and outcomes.
Research areas may include (but are not limited to) the following:
- Machine learning and predictive analytics for healthcare;
- Clinical decision support systems for healthcare;
- Natural language processing and text analytics for healthcare;
- Social network analysis for healthcare;
- Data visualization and dashboard design for healthcare;
- Patient-centred and personalised care through healthcare analytics and intelligent decision support systems.
We look forward to receiving your contributions.
Dr. Farshid Hajati
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- healthcare analytics
- machine learning
- artificial intelligence
- business intelligent
- predictive analytics
- natural language processing
- data-driven decision making
- decision support systems
- social network analysis
- data visualization
- clinical decision support systems
- patient-centred care
- personalised medicine
- health outcomes
- population health management
- public health surveillance
