Data Driven Insights in Healthcare
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Informatics and Big Data".
Deadline for manuscript submissions: 1 July 2024 | Viewed by 2319
Special Issue Editors
Interests: quantitative methods; data modeling; quality control; service quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Current research is typically composed of theory-driven studies. However, it is also critical that we learn from observational experiences; big data provide an opportunity to mine data sets for information in a novel manner. The insights gained from data exploration will provide insights that are worthy of future studies because the discoveries found in these data will improve healthcare practice and delivery. This Special Issue will showcase how data-driven discoveries provide insights and value for future research.
We are pleased to invite you to submit your data-driven investigations, including, but not limited to, the qualitative analysis of comments, the data mining of large data sets, exploratory data techniques including the use of AI, and any other appropriate method of gaining insights from large data sets. This Special Issue is also open to review articles that focus on what can be learned from healthcare data sets.
This Special Issue aims to show how data exploration can result in new possibilities and improve our understanding of current theories and practice Studies on the use of AI and machine learning are encouraged, but this Special Issue is not limited to such methods.
The themes and article types include using data analytic methods on data sets to gain insights about the relationships among variables and the insights the data provide to healthcare researchers and practitioners. In addition, review articles that address how such data-driven approaches can be used in the future are welcome.
We look forward to receiving your contributions.
Prof. Dr. Victor R. Prybutok
Dr. Gayle Linda Prybutok
Guest Editors
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
- data-driven health insights
- health data mining
- health care analytics
- health informatics
- data-driven patient insights
- health care modeling
