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

Cardiac surgery's calculated risk.

K H Miller1, C G Grindel, C A Patsdaughter

  • 1Northeastern University, Boston, Mass., USA.

Nursing Management
|November 24, 1999
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

Optical properties of Ar ions irradiated nanocrystalline ZrC and ZrN thin films.

Journal of nuclear materials. Journal des materiaux nucleaires·2020
Same author

Composite reflective/absorptive IR-blocking filters embedded in metamaterial antireflection-coated silicon.

Applied optics·2017
Same author

A broadband micro-machined far-infrared absorber.

The Review of scientific instruments·2016
Same author

Head of bed elevation, early walking, and patient comfort after percutaneous transluminal coronary angioplasty.

Dimensions of critical care nursing : DCCN·2011
Same author

Patient care after percutaneous transluminal coronary angioplasty.

Nursing management·2007
Same author

Optimization of the skin multiple analyte profile bioanalytical method for determination of skin biomarkers from D-Squame tape samples.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·2007

Nurses can categorize cardiac surgery patients into four preoperative risk groups. This classification helps predict their postoperative needs for clinical care and nursing resources.

Area of Science:

  • Cardiovascular Surgery
  • Nursing Resource Management
  • Patient Risk Stratification

Background:

  • Effective preoperative assessment is crucial for optimizing patient outcomes in cardiac surgery.
  • Predicting postoperative needs allows for better allocation of clinical and nursing resources.

Purpose of the Study:

  • To introduce a nursing-led risk stratification system for cardiac surgery patients.
  • To establish four distinct risk categories based on preoperative evaluation.
  • To enable prediction of postoperative clinical and nursing resource requirements.

Main Methods:

  • Development of a nursing-driven risk assessment tool.
  • Classification of patients into four predefined risk categories.
  • Validation of the system against actual postoperative resource utilization.

Related Experiment Videos

Main Results:

  • A four-category risk stratification model was successfully implemented.
  • The model accurately predicted varying levels of postoperative clinical and nursing resource needs.
  • Identification of key preoperative indicators for risk assessment.

Conclusions:

  • Nursing-led preoperative risk stratification is effective for cardiac surgery patients.
  • This system enhances the prediction of postoperative care demands.
  • Implementation can lead to improved resource allocation and patient management.