Paper Number
2072
Paper Type
Complete
Description
While prior research has found evidence of the digital divide in health IT outcomes, we do not know the combination of conditions under which health IT is more or less effective at reducing readmissions. This study examines the average and heterogeneous treatment effect of Remote Patient Monitoring (RPM) adoption on chronic-disease related readmissions. We first apply a deductive, econometric-driven approach (difference-in-differences) and then an inductive, machine learning-driven approach (casual forest). We find that RPM reduces the excess readmission ratio of pneumonia, heart failure, and chronic obstructive pulmonary disease. Furthermore, we find heterogeneity in the impact of RPM on heart failure readmissions based on the levels of patient complexity and local competition. Our research contributes to the literature on health IT digital divide by highlighting the combination of conditions in which RPM effectively reduces chronic-disease related readmissions. This combined research approach also contributes methodological insights to IS literature.
Recommended Citation
Olivera, William; Baird, Aaron; Mathiassen, Lars; and Xia, Yusen, "The Impact of Remote Patient Monitoring on Chronic-Disease Readmissions: The Role of Disparities" (2022). ICIS 2022 Proceedings. 16.
https://aisel.aisnet.org/icis2022/is_health/is_health/16
The Impact of Remote Patient Monitoring on Chronic-Disease Readmissions: The Role of Disparities
While prior research has found evidence of the digital divide in health IT outcomes, we do not know the combination of conditions under which health IT is more or less effective at reducing readmissions. This study examines the average and heterogeneous treatment effect of Remote Patient Monitoring (RPM) adoption on chronic-disease related readmissions. We first apply a deductive, econometric-driven approach (difference-in-differences) and then an inductive, machine learning-driven approach (casual forest). We find that RPM reduces the excess readmission ratio of pneumonia, heart failure, and chronic obstructive pulmonary disease. Furthermore, we find heterogeneity in the impact of RPM on heart failure readmissions based on the levels of patient complexity and local competition. Our research contributes to the literature on health IT digital divide by highlighting the combination of conditions in which RPM effectively reduces chronic-disease related readmissions. This combined research approach also contributes methodological insights to IS literature.
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Comments
16-HealthCare