Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

The severity of illness index: an interview with Susan D. Horn.

Authors: S D, Horn;

The severity of illness index: an interview with Susan D. Horn.

Abstract

HCSM's interview this month is with Susan D. Horn, PhD, Associate Director, Center for Hospital Finance and Management at Johns Hopkins University in Baltimore, Maryland. Dr. Horn, heading a research team at Johns Hopkins, has developed a patient classification system based on patient severity and medical diagnosis. In early testing, this index has proven more accurate than DRGs in capturing the homogeneity of resource use in individual diagnostic categories. Severity data also has implications for health care strategic planning. In this interview, Dr. Horn discusses the index and its benefits and then contrasts it to the DRG system.

Keywords

Maryland, Patients, Costs and Cost Analysis, Methods, Humans, Hospital Bed Capacity, 500 and over, Prognosis, Diagnosis-Related Groups, Information Systems, Management Information Systems

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!