Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Guideline-based careflow systems.

S Quaglini1, M Stefanelli, A Cavallini

  • 1Dipartimento di Informatica e Sistemistica, Università di Pavia, Italy. silvana.quaglini@unipv.it

Artificial Intelligence in Medicine
|February 24, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unpacking Theory of Mind in developmental coordination disorder: the role of manual dexterity and perspective-taking.

Frontiers in psychology·2026
Same author

Acute amnestic syndrome in fornix lesions: a systematic review of reported cases with a focus on differential diagnosis.

Frontiers in neurology·2024
Same author

Water quality and human health: A simple monitoring model of toxic cyanobacteria growth in highly variable Mediterranean hot dry environments.

Environmental research·2020
Same author

Thrombolysis and bridging therapy in patients with acute ischaemic stroke and Covid-19.

European journal of neurology·2020
Same author

Association between cholesterol levels and infections after ischemic stroke.

European journal of neurology·2020
Same author

The cortisol burden in elderly subjects with metabolic syndrome and its association with low-grade inflammation.

Aging clinical and experimental research·2019
Same journal

Real-time EEG-based epileptic seizure prediction using artificial intelligence: A systematic review.

Artificial intelligence in medicine·2026
Same journal

R-peak detection and ECG data compression scheme based on empirical mode decomposition and wavelet transform.

Artificial intelligence in medicine·2026
Same journal

CastNet: A three-channel EEG-based deep learning model for cross-subject depression detection.

Artificial intelligence in medicine·2026
Same journal

State-of-the-art TinyML approaches for colorectal cancer detection: Current advances, challenges, and future directions.

Artificial intelligence in medicine·2026
Same journal

JRadiEvo: A Japanese radiology report generation model enhanced by evolutionary optimization of model merging.

Artificial intelligence in medicine·2026
Same journal

Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care.

Artificial intelligence in medicine·2026
See all related articles

This study presents a guideline-based careflow management system for efficient clinical practice guideline implementation. The system integrates medical and organizational knowledge for improved healthcare processes and resource allocation.

Area of Science:

  • Health Informatics
  • Clinical Informatics
  • Healthcare Management

Background:

  • Clinical practice guidelines (CPGs) are essential for evidence-based healthcare.
  • Efficient implementation of CPGs in healthcare organizations remains a challenge.
  • Existing systems often lack the flexibility to manage complex healthcare processes.

Purpose of the Study:

  • To describe a methodology for efficient clinical practice guideline implementation.
  • To develop a guideline-based careflow management system.
  • To demonstrate the system's capability in suggesting tasks and resource allocation.

Main Methods:

  • Knowledge representation using a graphical editor for unambiguous guideline depiction.
  • Translation of guidelines into high-level Petri nets for computational modeling.

Related Experiment Videos

  • Organizational modeling to represent human and technological resources.
  • Simulation of Petri nets to validate careflow and optimize resource allocation.
  • Implementation leveraging workflow management technology adapted for healthcare.

    • Main Results:

    • A novel guideline-based careflow management system was developed.
    • The system integrates medical and organizational knowledge for enhanced healthcare processes.
    • Simulation enables validation of careflow models and optimal resource allocation prior to implementation.
    • Workflow management technology can be adapted for healthcare settings with added flexibility and uncertainty management.

    Conclusions:

    • The proposed methodology facilitates efficient and organized implementation of clinical practice guidelines.
    • The guideline-based careflow management system improves healthcare process efficiency and resource utilization.
    • Adapting business process automation technologies enhances healthcare delivery for complex patient pathways, such as acute ischemic stroke management.