About the Journal

Decision Science in Medicine

Aims
Decision Science in Medicine (DSIM) aims to serve as a leading academic platform for the dissemination of research and advancement of decision science in healthcare. It brings together researchers, clinicians, policymakers, and other stakeholders with a shared interest in the application of decision science methodologies to improve medical decision-making, enhance patient outcomes, and optimize healthcare delivery.

The goal of the journal is to foster the development and exchange of leading-edge knowledge, theories, and methodologies in decision science applied to the field of medicine. It seeks to bridge the gap between research and practice by providing a platform for rigorous, evidence-based research that can inform healthcare decision-making at individual, organizational, and policy levels. The journal's goal is to foster interdisciplinary collaboration among experts from different fields, such as medicine, statistics, operations research, economics, psychology, and computer science, among others.

Scope
Decision Science in Medicine (DSIM) is a multidisciplinary, open-access, peer-reviewed academic journal that addresses a wide spectrum of topics within the realm of decision science as it relates to the field of medicine. The scope of the journal encompasses, but is not limited to, the following areas:

  1. Decision-Making Models: The journal welcomes research into various decision-making models, including Bayesian networks, Markov models, utility theory, game theory, and multi-criteria decision analysis. Research exploring the development, validation, and calibration of these models in medical decision-making contexts is of particular interest.
  2. Clinical Decision Support Systems: Manuscripts exploring the design, implementation and evaluation of clinical decision support systems that integrate evidence-based medical and decision science principles are strongly encouraged.
  3. Behavioral Decision Science: The behavioral aspects of decision-making in healthcare will be studied in this section, which will explore the biases, heuristics, and cognitive processes that affect medical choices made by both patients and healthcare professionals.
  4. Machine Learning and Artificial Intelligence: The journal invites papers looking at the application of machine learning and artificial intelligence algorithms in medical decision-making, including diagnostic systems and predictive models.
  5. Shared Decision-Making: Conceptualizing shared decision-making between patients and healthcare providers, and strategies to enhance patient engagement in medical choices, will be considered.
  6. Health Technology Assessment: This section discusses how to evaluate medical technologies, treatments, and interventions using decision-analytic methods. The event will showcase research that examines cost-effectiveness, cost-utility, and cost-benefit analyses to inform healthcare resource allocation decisions.
  7. Risk Assessment and Management: The journal is searching for articles on risk assessment and risk management techniques in medical settings. The journal is seeking articles that examine these topics. This research is divided into multiple areas of research, such as medical error reduction, patient safety, and decision-making under uncertainty.
  8. Health Policy and Ethics: This section will feature research that explores the ethical implications of medical decision-making, as well as studies that analyze health policies using decision science approaches.

The journal welcomes original research papers, systematic reviews, meta-analyses, case studies, theoretical frameworks, and methodological advances that contribute to the field of policy science in medicine. This platform also provides a space for thought-provoking editorials, commentaries, and perspectives that stimulate scholarly discourse and critical thinking by fostering scholarly discourse and critical thinking.

Publishing high-quality research and promoting cooperation among researchers, practitioners, and policymakers is important for promoting academic excellence. Decision Science in Medicine (DSIM) strives to enhance the translation of decision science principles into real-world applications, ultimately leading to improved healthcare decision-making, patient outcomes, and the overall effectiveness and efficiency of healthcare systems.

Founding Editor-in-Chief
Prof. Chi-Chang Chang
School of Medical Informatics
Chung-Shan Medical University, Taiwan
Founding Chairman. ICMHI. ICHSM. MDSAT. ISMDS

IJES abides by COPE publication ethics and code of conduct.

Print ISSN: 3062-4827
Online ISSN: 3062-4835