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

Assessing critical care unit performance: a global measure using graphical analysis.

T Leary1, S Ridley, K Burchett

  • 1Anaesthesia and Critical Care, Norfolk and Norwich University Hospital, Norwich, UK. timleary@lineone.net

Anaesthesia
|July 23, 2002
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

Data-centric artificial intelligence and cancer research: construction of a real-world head and neck treatment data repository.

ESMO real world data and digital oncology·2026
Same author

RT-HaND_C: A Multi-Source, Validated Real-world Head and Neck Cancer Dataset for Research.

Clinical oncology (Royal College of Radiologists (Great Britain))·2025
Same author

A phase II study of monalizumab and durvalumab in patients with recurrent/metastatic squamous cell carcinoma of the head and neck: results of the I2 cohort of the EORTC-HNCG-1559 trial (UPSTREAM).

ESMO open·2025
Same author

Natural Language Processing to Extract Head and Neck Cancer Data From Unstructured Electronic Health Records.

Clinical oncology (Royal College of Radiologists (Great Britain))·2025
Same author

Dental clinicians' perceptions on the use of tele-dentistry consultations during COVID-19 within public dental clinics in Sydney, Australia.

Australian dental journal·2023
Same author

Cocaine use in trauma: the vices-paradox revisited.

Surgery·2023
Same journal

Variation in peri-operative management of GLP-1 receptor agonists among UK anaesthetists.

Anaesthesia·2026
Same journal

Management of major thoracic trauma: a narrative review.

Anaesthesia·2026
Same journal

Pulmonary artery catheters or central venous catheters for cardiac surgery: the PUMA Pilot randomised clinical trial.

Anaesthesia·2026
Same journal

Opioid-free vs. opioid-inclusive anaesthesia with or without regional anaesthesia for postoperative pain.

Anaesthesia·2026
Same journal

Optimal dose of intra-operative dexmedetomidine for postoperative delirium prevention: a reply.

Anaesthesia·2026
Same journal

Optimal dose of intra-operative dexmedetomidine for postoperative delirium prevention.

Anaesthesia·2026
See all related articles

Measuring critical care performance is complex. A radar chart analysis of five hospitals revealed similar overall performance but highlighted specific areas needing improvement, aiding in better critical care assessment.

Area of Science:

  • Critical care medicine
  • Healthcare management
  • Performance measurement

Background:

  • Outcome measurement in critical care is challenging due to patient diversity and varied treatments.
  • Existing individual performance measures are limited and may not reflect overall care quality.
  • A comprehensive, global measure is needed to assess critical care performance holistically.

Purpose of the Study:

  • To develop and evaluate a global performance measure for critical care units.
  • To assess the overall performance of five hospitals within the East Anglian Critical Care Network.
  • To identify deficiencies and areas for improvement in critical care delivery.

Main Methods:

  • Data on capacity, workload, and performance were collected from five hospitals for 1999-2000.

Related Experiment Videos

  • Data were transformed and visualized using radar charts.
  • The area of the polygon within the radar chart represented each unit's global performance.

    • Main Results:

    • Analysis indicated minimal overall differences in global performance among the five hospitals.
    • The graphical radar chart representation effectively highlighted individual unit deficiencies.
    • This method facilitates the assessment of complex processes like critical care delivery.

    Conclusions:

    • Radar chart graphical analysis offers a valuable tool for assessing critical care performance.
    • Standardization of chosen measures, weightings, and scales is crucial for accurate assessment.
    • This approach can help identify specific areas for quality improvement in critical care settings.