Special Issue "Health Informatics: The Foundations of Public Health"

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 2022.

Special Issue Editors

Prof. Dr. Michael T. S. Lee
E-Mail Website
Guest Editor
Graduate Institute of Business Administration, Fu Jen Catholic University, New Taipei City 24205, Taiwan.
Interests: data mining; medical/health informatics; artificial intelligence and applications; applied statistics
Prof. Dr. Chi-Jie Lu
E-Mail Website
Guest Editor
Graduate Institute of Business Administration & Department of Information Management, Fu Jen Catholic University, New Taipei City 24205, Taiwan
Interests: machine learning; medical/healthcare informatics; time series forecasting; supply chain management; quality management
Special Issues and Collections in MDPI journals

Special Issue Information

Dear colleagues,

A Special Issue on Public Health in Health Informatics is being organized in Healthcare. For detailed information about the journal, please refer to https://www.mdpi.com/journal/healthcare. Public health provides an extremely wide variety of problems that can be tackled using computational and machine learning techniques. Health informatics is a spectrum of multidisciplinary fields that includes study of the design, development, and application of computational techniques to improve healthcare. Disciplines involved combine medical fields with computing fields such as software engineering, data science, information technology, and behavior informatics. Health informatics research focuses on applications of artificial intelligence in healthcare for academic institutions. As COVID-19 continues to put serious pressure on healthcare systems worldwide, with more than 188 million confirmed cases and more than 4 million death cases to date and huge datasets collected, it will provide lots of research topics for healthcare informatics. This Special Issue is open to relevant subject areas of healthcare informatics. The keywords listed below provide an outline of some of the possible areas of interest.

Prof. Dr. Michael T. S. Lee
Prof. Dr. Chi-Jie Lu
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 papers will be 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 monthly 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 1600 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

  • health informatics
  • public health
  • behavior informatics
  • medical informatics
  • healthcare management
  • artificial intelligence
  • machine learning
  • data analytics
  • cognitive informatics
  • neuroinformatics
  • data science
  • biostatistics
  • information technology
  • geographic information systems
  • database management
  • COVID-19

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Research on Urban Medical and Health Services Efficiency and Its Spatial Correlation in China: Based on Panel Data of 13 Cities in Jiangsu Province
Healthcare 2021, 9(9), 1167; https://doi.org/10.3390/healthcare9091167 - 06 Sep 2021
Viewed by 325
Abstract
The improvement of the efficiency of medical and health services is of great significance for improving the high-quality and efficient medical and health services system and meeting the increasingly diverse health needs of residents. Based on the panel data of 13 cities in [...] Read more.
The improvement of the efficiency of medical and health services is of great significance for improving the high-quality and efficient medical and health services system and meeting the increasingly diverse health needs of residents. Based on the panel data of 13 cities in Jiangsu Province, this research analyzed the relative effectiveness of medical and health services from 2015 to 2019 using the super efficiency slack-based measure-data envelopment analysis model, and the Malmquist index method was used to explore the changes in the efficiency of medical and health services from a dynamic perspective. Furthermore, the spatial autocorrelation analysis method was used to verify the spatial correlation of medical and health services efficiency. In general, there is room for improvement in the efficiency of medical and health services in 13 cities in Jiangsu Province. There are obvious differences in regional efficiency, and there is a certain spatial correlation. In the future, the medical and health services efficiency of China’s cities should be improved by increasing the investment in high-quality medical and health resources, optimizing their layout and making full use of the spatial spillover effects between neighboring cities to strengthen inter-regional cooperation and exchanges. Full article
(This article belongs to the Special Issue Health Informatics: The Foundations of Public Health)
Show Figures

Figure 1

Back to TopTop