Journal of Healthcare Engineering

Computational Decision-Making Tools for Healthcare


Publishing date
01 Aug 2021
Status
Closed
Submission deadline
19 Mar 2021

1University of Naples Federico II, Naples, Italy

2National Research Council of Italy, Naples, Italy

3Reykjavík University, Reykjavík, Iceland

4Polytechnic Institute of Leiria, Leiria, Portugal

This issue is now closed for submissions.
More articles will be published in the near future.

Computational Decision-Making Tools for Healthcare

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The increase in healthcare expenditure is a growing phenomenon. Its causes are related to both uncontrollable factors and process inefficiency. Examples of the former include an increase in demand for medical services and population aging. Examples of the latter are mainly related to medical or clinical processes and to administrative, logistical, and operational activities. In this context, computational decision-making tools can be developed as approaches, methodologies, and techniques capable of supporting decisions regarding: the proper allocation of economic, human, technical, and organizational resources; the improvement of performance and quality of healthcare processes; the increase in patient satisfaction; and the better effectiveness of procedures, drugs and medical devices.

Due to the complex nature of the healthcare sector, such decision-making tools need to be multi-criteria by taking into account many different aspects, from clinical and technical factors to socio-economic and organisational ones. These tools can also support the introduction or implementation of novel technologies or protocols, by assessing and comparing their use and final results/outcomes with clinical standards in terms of clinical efficiency, safety, technical performance, cost-effectiveness, and social impact.

This Special Issue aims to publish original and innovative research related to the implementation of decision-making tools for the whole healthcare sector. Review articles that summarize the state of the art and recent advances in these topics are also welcome.

Potential topics include but are not limited to the following:

  • Multicriteria decision-making methods to evaluate different aspects of healthcare technologies (clinical efficiency, effectiveness, return on sales, technology safety, etc.)
  • The use of Machine Learning and Artificial Intelligence to provide models capable of predicting the outcomes of different clinical processes, useful to doctors for making decisions
  • Combined methodologies useful to decision makers for improving the quality of services
  • Qualitative and quantitative assessment of patients’ satisfaction, clinical efficacy, and technical efficiency of technologies, devices, procedures, and protocols
  • Algorithms for the analysis and processing of biomedical data to support decision-making
  • Mathematical models that could provide information on the length of hospital stay, optimizing the hospital’s resources, and improving clinical outcomes
  • Simulation models of healthcare processes
  • Tools for Heath Technology Assessment and related topics

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8826048
  • - Research Article

Application of DMAIC Cycle and Modeling as Tools for Health Technology Assessment in a University Hospital

Alfonso Maria Ponsiglione | Carlo Ricciardi | ... | Giovanni Improta
  • Special Issue
  • - Volume 2021
  • - Article ID 6665573
  • - Research Article

A Machine Learning-Based Prediction Model for Preterm Birth in Rural India

Rakesh Raja | Indrajit Mukherjee | Bikash Kanti Sarkar
  • Special Issue
  • - Volume 2021
  • - Article ID 5555029
  • - Research Article

Big Data-Enabled Analysis of Factors Affecting Patient Waiting Time in the Nephrology Department of a Large Tertiary Hospital

Jialing Li | Guiju Zhu | ... | Wenwu Shen
  • Special Issue
  • - Volume 2021
  • - Article ID 5563651
  • - Research Article

A Hybrid Genetic Algorithm for Nurse Scheduling Problem considering the Fatigue Factor

Atefeh Amindoust | Milad Asadpour | Samineh Shirmohammadi
  • Special Issue
  • - Volume 2021
  • - Article ID 6679512
  • - Review Article

Involvement of Machine Learning Tools in Healthcare Decision Making

Senerath Mudalige Don Alexis Chinthaka Jayatilake | Gamage Upeksha Ganegoda
  • Special Issue
  • - Volume 2021
  • - Article ID 8864522
  • - Research Article

Comparative Evaluation of the Treatment of COVID-19 with Multicriteria Decision-Making Techniques

Figen Sarigul Yildirim | Murat Sayan | ... | Ilker Ozsahin
  • Special Issue
  • - Volume 2020
  • - Article ID 8889412
  • - Research Article

Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients

Zeming Fan | Mudasir Jamil | ... | Xiaojun Yu
  • Special Issue
  • - Volume 2020
  • - Article ID 8886599
  • - Research Article

Surgical Design Optimization of Proximal Junctional Kyphosis

Li Peng | Guangming Zhang | ... | Xiaobo Zhou
Journal of Healthcare Engineering
 Journal metrics
Acceptance rate37%
Submission to final decision99 days
Acceptance to publication48 days
CiteScore4.600
Journal Citation Indicator0.720
Impact Factor2.682
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Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.