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 Concept Videos

Increasing Function01:18

Increasing Function

169
An increasing function exhibits a rise in output values as input values increase. This behavior is depicted graphically as a curve or line that slopes upward from left to right. Such a function satisfies the condition that if x1 < x2, then f(x1) < f(x2), indicating that the function values grow with increasing inputs. This concept is fundamental in understanding growth trends across various domains, such as population dynamics, financial investments, or resource consumption.The...
169
Dosage Regimen Designs: Nomograms and Tabulations01:23

Dosage Regimen Designs: Nomograms and Tabulations

117
Nomograms and tabulations are vital tools used by clinicians to design accurate and individualized dosage regimens. These instruments provide a straightforward method for adjusting dosages based on individual patient characteristics, including age, weight, and physiological condition. The foundation of a drug's nomogram is population pharmacokinetic data collected and analyzed using specific models. This data simplifies complex equations, presenting them diagrammatically or tabularly for easy...
117
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

810
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...
810
Interpreting Run Charts01:25

Interpreting Run Charts

3.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.0K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K
Relative Risk01:12

Relative Risk

1.6K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Marketing function increases in health care.

Hospitals·1988
Same author

1985 brings no respite from economic pressures.

Hospitals·1986
Same author

Hospitals' economic performance in 1985.

Trustee : the journal for hospital governing boards·1986
Same author

Rising margin trends shifting in third quarter.

Hospitals·1986
Same author

Outpatient visits rise, affect expenses.

Hospitals·1985
Same journal

The hospital and education.

Hospitals·2014
Same journal

Three guides to finding a good architect.

Hospitals·2010
Same journal

Who will pay hospital bills for postwar patients?

Hospitals·2010
Same journal

DEVELOPING a rural community hospital.

Hospitals·2010
Same journal

Personnel organization no substitute for good personnel relations.

Hospitals·2010
Same journal

Neonatal crying; a study of its incidence, causes and control.

Hospitals·2010
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Multidisciplinary Approach to Obesity Management: A Case Report
05:10

Multidisciplinary Approach to Obesity Management: A Case Report

Published on: May 30, 2025

826

Rise in LOS may signal case-mix changes.

D F Reczynski

    Hospitals
    |August 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

    Community hospitals saw stable trends in early 1985, with falling admissions leading to staff and bed reductions. Lengths of stay increased, possibly due to higher case-mix intensity limiting further reductions.

    More Related Videos

    Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
    07:31

    Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

    Published on: May 15, 2020

    7.5K
    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
    06:55

    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

    Published on: January 8, 2020

    15.0K

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    Multidisciplinary Approach to Obesity Management: A Case Report
    05:10

    Multidisciplinary Approach to Obesity Management: A Case Report

    Published on: May 30, 2025

    826
    Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
    07:31

    Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

    Published on: May 15, 2020

    7.5K
    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
    06:55

    Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

    Published on: January 8, 2020

    15.0K

    Area of Science:

    • Healthcare Management
    • Hospital Administration
    • Health Economics

    Background:

    • Community hospitals experienced consistent trends from 1984 into the first quarter of 1985.
    • Declining patient admissions were a persistent challenge for healthcare facilities.

    Purpose of the Study:

    • To analyze community hospital trends in the first quarter of 1985.
    • To identify shifts in hospital operations, including personnel, bed capacity, and lengths of stay.

    Main Methods:

    • Analysis of community hospital data from the first quarter of 1985.
    • Comparison of trends with patterns observed in 1984.

    Main Results:

    • Admissions continued to decline.
    • Hospitals reduced personnel and beds in response to falling admissions.
    • Expense growth remained moderate.
    • A notable increase in average lengths of stay was observed.

    Conclusions:

    • Hospitals may be reaching a limit in reducing lengths of stay.
    • Increased case-mix intensity, resulting from fewer admissions, could be a factor.
    • Operational adjustments continue in community hospitals amidst changing admission rates.