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

Predicting discharge diagnoses using a computerized preadmission screening tool.

J W Hales1, R M Gardner

  • 1Department of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City 84143.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|October 1, 1991
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

The impact of timing modified natural cycle frozen embryo transfer based on spontaneous luteinizing hormone surge.

Journal of assisted reproduction and genetics·2020
Same author

Achievements after Six Years of The International Partnership for Health Informatics Education.

Yearbook of medical informatics·2016
Same author

Education.

Yearbook of medical informatics·2016
Same author

University of Utah Medical Informatics Research and Training Program.

Yearbook of medical informatics·2016
Same author

Clinical Information Systems - From Yesterday to Tomorrow.

Yearbook of medical informatics·2016
Same author

Maternal polycystic ovary syndrome and the risk of autism spectrum disorders in the offspring: a population-based nationwide study in Sweden.

Molecular psychiatry·2015
Same journal

Flexible Survival Extrapolation with Blended Hazards: Accounting for Treatment Effect Waning in Health Technology Assessment.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

A Microsimulation Model for Chronic Kidney Disease Progression in Type 2 Diabetes Patients in the United States: Michigan Model for Diabetes-Chronic Kidney Disease Model.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Cardiovascular Risk Estimation and Statin Adherence: A Historical Cohort Study.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Taste or Scale? Methodological Approach to Health Preferences Comparison across Groups.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

Mind the Gap: Impact of New Labels on Public Perceptions and Calculated Risk of Adverse Outcomes after a Melanoma In Situ Diagnosis-A Secondary Analysis of an Online Randomized Experiment.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same journal

A Metamodel-Based General-Purpose Autocalibration Tool for Simulation Models.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
See all related articles

A new preadmission screening system was integrated into hospital information systems to prevent payment denials caused by incorrect patient billing status. Validation efforts confirmed the expert system

Area of Science:

  • Health Informatics
  • Hospital Administration
  • Medical Billing

Background:

  • Improper patient billing status classification leads to significant payment denials and reimbursement shortfalls.
  • Existing hospital information systems often lack robust mechanisms for accurate preadmission patient status determination.
  • Financial losses in healthcare are exacerbated by administrative inefficiencies in patient classification.

Purpose of the Study:

  • To integrate and validate an expert system-based preadmission screening tool within an existing hospital information system.
  • To reduce payment denials and reimbursement shortfalls by improving patient billing status accuracy.
  • To assess the reliability and effectiveness of the expert system in a real-world hospital setting.

Main Methods:

Related Experiment Videos

  • Integration of a preadmission screening system, powered by an expert system, into a hospital information system.
  • Development and implementation of validation protocols to assess the expert system's performance.
  • Analysis of patient data to evaluate the accuracy of billing status classification.

    • Main Results:

    • The integrated preadmission screening system demonstrated effectiveness in identifying and correcting potential billing status errors.
    • Validation results indicated a high degree of accuracy for the expert system in classifying patient billing status.
    • The system showed potential for reducing payment denials and improving financial reimbursement.

    Conclusions:

    • The expert system-based preadmission screening system is a valuable tool for enhancing accuracy in hospital billing status classification.
    • Integration into existing hospital information systems can mitigate financial losses associated with improper patient classification.
    • Further implementation and validation are recommended to maximize benefits in healthcare financial management.