|
KMID : 1100520170230040322
|
|
Healthcare Informatics Research
2017 Volume.23 No. 4 p.322 ~ p.327
|
|
|
Association between Health Information Technology and Case Mix Index
|
|
Park Young-Taek
Lee Jun-Sang
Lee Jin-Hyung
|
|
|
Abstract
|
|
|
Objectives: Health information technology (IT) can assist healthcare providers in ordering medication and adhering to guidelines while improving communication among providers and the quality of care. However, the relationship between health IT and Case Mix Index (CMI) has not been thoroughly investigated; therefore, this study aimed to clarify this relationship.
Methods: To examine the effect of health IT on CMI, a generalized estimation equation (GEE) was applied to two years of California hospital data.
Results: We found that IT was positively associated with CMI, indicating that increased IT adoption could lead to a higher CMI or billing though DRG upcoding. This implies that hospitals' revenue could increase around $40,000 by increasing IT investment by 10%.
Conclusions: The positive association between IT and CMI implies that IT adoption itself could lead to higher patient billings. Generally, a higher CMI in a hospital indicates that the hospital provides expensive services with higher coding and therefore receives more money from patients. Therefore, measures to prevent upcoding through IT systems should be implemented.
|
|
|
KEYWORD
|
|
|
Diagnosis Related Group, Health Infomration Technology
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|