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Related Concept Videos

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Methods of Documentation VI: Case Management Model01:15

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Related Experiment Video

Updated: Jul 19, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Decision support, knowledge representation and management in medicine.

M Peleg1, S Tu

  • 1Department of Management Information Systems, University of Haifa, Haifa, Israel. morpeleg@mis.hevra.haifa.ac.il

Yearbook of Medical Informatics
|October 20, 2006
PubMed
Summary

Clinical decision-support systems (CDSSs) are evolving tools to enhance healthcare quality. Research shows a trend towards integrated systems, with ongoing work needed for lasting, adaptable clinical decision-support systems.

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Area of Science:

  • Health Informatics
  • Medical Decision Making
  • Knowledge Management in Healthcare

Background:

  • Clinical decision-support systems (CDSSs) are increasingly vital for improving healthcare quality.
  • The development of CDSSs has matured over recent decades, driven by the need for better information delivery and integration into healthcare workflows.

Purpose of the Study:

  • To review literature and identify trends in the development of CDSSs over the past few decades.
  • To provide insights into future directions for creating successful and usable CDSSs.

Main Methods:

  • Literature search of PubMed for papers published in the last five years with "Decision Support Systems" in the title.
  • Inclusion of expert knowledge for earlier developments in the field.

Main Results:

  • Modern CDSSs aim for seamless integration with healthcare organizational dynamics and knowledge management.
  • Maturation of knowledge representation, electronic health record (EHR) systems, standard terminologies, and messaging standards facilitates integrated CDSS development.
  • Methodologies for constructing and evaluating CDSSs have emerged due to the demand for effective and evolving systems.

Conclusions:

  • Despite numerous approaches for clinical knowledge management, designing and implementing durable, evolving CDSSs remains an active research area.
  • Advancements in EHR and infrastructure standards are expected to enable significant contributions from CDSS implementers to healthcare delivery.