Mathematical Models for Measuring and Improving Healthcare Quality

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Assessments".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 214

Special Issue Editors

Department of Technology & Society, Stony Brook University, Stony Brook, NY 11794, USA
Interests: health care delivery systems; efficiency analysis; statistics; data envelopment analysis; transportation; health care management
College of Business, Stony Brook University, Stony Brook, NY 11794, USA
Interests: health care operations; performance measurement; quality management; blood bank recruitment and retention
College of Business, Stony Brook University, Stony Brook, NY 11794, USA
Interests: performance measurement in healthcare, sports, transportation, energy, banking using data envelopment analysis (DEA); extension of the DEA methodology; optimal and heuristic solutions to combinatorial problems encountered in the management of production and service operations

Special Issue Information

Dear Colleagues,

Quality measurement is a fundamental step in the quality improvement cycle (see CMS). In healthcare settings, quality measurement is particularly challenging due to its multidimensional nature and the inherent subjectivity of quality observations. Nonetheless, the improvement of healthcare quality is a necessary step and innovative mathematical models are needed to complete the quality improvement cycle.

This issue will explore the use of mathematical models to measure and improve the quality of care provided in healthcare settings. The models may employ any mathematical approach, such as optimization, statistics, simulation, and machine learning. The application may be to any healthcare setting, including hospitals, nursing homes, physician offices, clinics, blood collection centers, and others.

Prof. Dr. Thomas R. Sexton
Prof. Dr. Christine Pitocco
Dr. Herbert F. Lewis
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

  • quality measurement
  • quality performance
  • mathematical models
  • data analytics
  • data envelopment analysis
  • data systems
  • outcome measures
  • regulatory systems

Published Papers

There is no accepted submissions to this special issue at this moment.
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