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Related Concept Videos

Variance01:15

Variance

The deviations show how spread out the data are about the mean. A positive deviation occurs when the data value exceeds the mean, whereas a negative deviation occurs when the data value is less than the mean. If the deviations are added, the sum is always zero. So one cannot simply add the deviations to get the data spread. By squaring the deviations, the numbers are made positive; thus, their sum will also be positive.The standard deviation measures the spread in the same units as the data.
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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.
For example, a patient with a chronic illness...
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
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:
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...

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Related Experiment Video

Updated: May 27, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

Using variance tracking to improve outcomes and reduce costs.

L M Benson1, J Bowes, K Cheesebro

  • 1Bronson Methodist Hospital, Kalamazoo, MI, USA.

Dimensions of Critical Care Nursing : DCCN
|November 15, 2011
PubMed
Summary
This summary is machine-generated.

Variance tracking in clinical pathways improves patient care. This study shows tracking variations in pulmonary, oncology, and nephrology care reduced hospital stays and saved over $160,000.

Related Experiment Videos

Last Updated: May 27, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

Area of Science:

  • Healthcare Management
  • Clinical Informatics
  • Patient Outcomes

Background:

  • Clinical pathways standardize patient care for specific populations.
  • Effective utilization of pathways depends on variance tracking—monitoring deviations from the standard care plan.
  • Understanding reasons for care variation is crucial for quality improvement.

Purpose of the Study:

  • To describe a healthcare facility's implementation of variance tracking for clinical pathways.
  • To analyze the impact of variance tracking on patient outcomes in pulmonary, medical oncology, and nephrology units.
  • To identify opportunities for performance improvement through pathway variance analysis.

Main Methods:

  • Implemented a variance tracking system for pulmonary, medical oncology, and nephrology patient pathways.
  • Documented instances and reasons for patient care deviations from established pathways.
  • Tracked avoidable hospital days as a key performance metric.
  • Initiated a performance improvement project targeting high-use medical unit pathways.

Main Results:

  • Successfully tracked care variances across selected patient populations.
  • Identified avoidable hospital days associated with specific pathway deviations.
  • Performance improvement initiative led to a significant decrease in average patient length of stay.
  • Achieved cost savings exceeding $160,000 through optimized care delivery.

Conclusions:

  • Clinical pathway variance tracking provides valuable data for quality improvement.
  • Systematic tracking and analysis of care deviations can enhance efficiency and reduce costs.
  • This approach offers a measurable strategy for optimizing patient care delivery and resource utilization.