Chronic disease management

A systems model relating outcomes, reporting, monitoring, interventions and satisfaction

A. M. Albisser, A. S. Hodel, J. B. Albisser, Adam Wanner

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In health care systems, chronic disease state outcomes are typically reported as one-time observations ('snap-shots'). A novel mathematical and systems model was developed to link such reported outcomes to desired normal values. The model describes a dependency of outcomes on the characteristics of the provider, the patient and on the relative frequency of such snap-shots, thus confirming conventional methods in the traditional, chronic disease, management paradigm. Additionally, an important prediction is afforded by the model whereby, under certain conditions, outcomes can approach normal while being largely independent of the particular characteristics of either patient or provider. Exploitation of this unexpected prediction in risk assessment and managed care should be considered by health authorities.

Original languageEnglish
Pages (from-to)101-110
Number of pages10
JournalControl Engineering Practice
Volume10
Issue number1
DOIs
StatePublished - Jan 1 2002

Fingerprint

Chronic Disease
Monitoring
Snapshot
Health care
Risk assessment
Prediction
Risk Assessment
Health
Model
Exploitation
Healthcare
Paradigm

Keywords

  • Asthma
  • Control systems
  • Costs
  • Diabetes
  • Health care
  • Hypertension
  • Mathematical models
  • Risk management

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Chronic disease management : A systems model relating outcomes, reporting, monitoring, interventions and satisfaction. / Albisser, A. M.; Hodel, A. S.; Albisser, J. B.; Wanner, Adam.

In: Control Engineering Practice, Vol. 10, No. 1, 01.01.2002, p. 101-110.

Research output: Contribution to journalArticle

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