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

Four methodologies to improve healthcare demand forecasting.

M J Côté1, S L Tucker

  • 1Department of Health Services Administration, University of Florida, Gainesville, Florida, USA. mjcote@hp.ufl.edu

Healthcare Financial Management : Journal of the Healthcare Financial Management Association
|May 16, 2001
PubMed
Summary

Accurate health service demand forecasting aids healthcare managers. Four common methods—percent adjustment, 12-month moving average, trendline, and seasonalized forecast—use historical data to project future needs.

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

Patient-reported sexual toxicity after radiation therapy in long-term prostate cancer survivors.

British journal of cancer·2015
Same author

Perception of body odor-an overlooked consequence of long-term gastrointestinal and urinary symptoms after radiation therapy for prostate cancer.

Journal of cancer survivorship : research and practice·2013
Same author

Patient-reported genitourinary toxicity for long-term prostate cancer survivors treated with radiation therapy.

British journal of cancer·2013
Same author

Evolutionary history of plant multisubunit RNA polymerases IV and V: subunit origins via genome-wide and segmental gene duplications, retrotransposition, and lineage-specific subfunctionalization.

Cold Spring Harbor symposia on quantitative biology·2011
Same author

A novel interaction between HER2/neu and cyclin E in breast cancer.

Oncogene·2010
Same author

Expression of ERalpha and ERbeta in lobular carcinoma in situ.

Histopathology·2007

Area of Science:

  • Health Services Management
  • Healthcare Financial Management
  • Quantitative Forecasting Methods

Background:

  • Effective managerial decision-making in healthcare relies on accurate demand forecasting.
  • Financial managers often undertake the task of projecting future healthcare service utilization.
  • This process necessitates the thorough collection and analysis of historical service data.

Purpose of the Study:

  • To outline common quantitative forecasting methods used in healthcare organizations.
  • To detail the advantages and disadvantages of selected forecasting techniques.
  • To guide healthcare financial managers in selecting appropriate forecasting models.

Main Methods:

  • Review of four common quantitative forecasting methods: percent adjustment, 12-month moving average, trendline, and seasonalized forecast.

Related Experiment Videos

  • Emphasis on methods utilizing recent historical demand data.
  • Analysis of the strengths and weaknesses inherent in each forecasting approach.

    • Main Results:

    • Identified four widely used quantitative methods for health service demand forecasting.
    • Highlighted that these methods are fundamentally based on an organization's historical demand patterns.
    • Underscored the importance of understanding method-specific benefits and drawbacks.

    Conclusions:

    • Healthcare financial managers must comprehend various forecasting techniques to optimize resource allocation.
    • Selecting the most suitable forecasting method depends on the specific needs and context of the healthcare organization.
    • Informed selection of forecasting tools is crucial for effective healthcare management and planning.