An Exemplar Dashboard for the Assessment of Home Health Comorbidities

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Comorbidities are multiple co-occurring disorders associated with a primary diagnosis and affect health outcomes and cost of care. Using home health medical claims data, a comorbidity database with frequent item-sets, and an exemplar dashboard were created. The dashboard extends the decision making capacity of clinicians by providing data-driven information about (i) the frequency of comorbidities for any primary diagnosis, and (ii) primary diagnoses sufficiently exclusive to a given comorbidity. Regression models estimate total charges, for any underlying patient comorbidity profile. Using the exemplar dashboard, a panel of healthcare researchers recommended appropriate system parameters to adjust system sensitivity and improve construct validity. The comorbidity database will be useful in future research efforts to study comorbidity, while the exemplar dashboard can provide the foundation for integrated home healthcare decision support systems.

Original languageEnglish
Title of host publicationData, Informatics and Technology
Subtitle of host publicationAn Inspiration for Improved Healthcare
EditorsArie Hasman, Parisis Gallos, Joseph Liaskos, Mowafa S. Househ, John Mantas
PublisherIOS Press BV
Pages101-104
Number of pages4
ISBN (Electronic)9781614998792
DOIs
StatePublished - 2018

Publication series

NameStudies in Health Technology and Informatics
Volume251
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • Comorbidity
  • data mining
  • decision support
  • diagnosis
  • home health

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