View source for Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange

This is a review of Hao’s article "Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange.”<ref name="Hao">Hao, S., Wang, Y., Shin, A., Zhu, C., Huang, M., Luo, J., . . . Ling, X. (2015). Development, Validation and Deployment of a Real Time 30 Day Hospital Readmission Risk Assessment Tool in the Maine Healthcare Information Exchange. PLOS ONE, 10(10). Retrieved November 21, 2015.</ref> 

== Background ==
[[HIE|Health Information Exchanges (HIE)]] can be great sources for data. One way such a source could be utilized is retrieving that information to do quality assessments. Identifying a risk of 30-day readmissions can help providers prepare their care plans to be most effective. The purpose of this study is to develop a risk model to anticipate a 30-day inpatient hospital readmission for all patients in the Maine Healthcare Information Exchange. <ref name="Hao"> </ref>

== Methods ==
All patients included in the Maine Health Information Exchange were used for the model. This was done for encounters that occurred between January 1, 2012 to December 31, 2012. Twenty-four randomly chosen hospitals were used retrospectively and then HIE patients were used prospectively between January 1, 2013 to December 31, 2013. <ref name="Hao"> </ref>

== Results ==
A risk assessment tool partitioned the entire HIE population into subgroups that corresponded to probability of hospital readmissions as determined by a corresponding positive predictive value (PPV). A c-statistic of 0.72 was obtained from the model. The total 30 day readmission rates in low, intermediate, and high risk groups were 8.67%, 24.10%, and 74.10% respectively. The lower risk groups were readmitted to a hospital later than the higher risk groups. <ref name="Hao"> </ref>

== Conclusion ==
Based on the results, the risk model was validated as a proven tool for predicting 30-day readmissions for all patients in the Maine HIE. The model was successful enough that it was sent to the statewide HIE to identify patient risks for greater populations. The model gives physicians another tool to develop individualized plans depending on the patient’s risk profile. <ref name="Hao"> </ref>

== Comments == 
There are many [[EMR_Benefits:_HIE|benefits]] to HIE. This article provides one, such as using it as main data source. Data was able to be extracted to create a model for predicting hospital readmission within 30 days of discharge. If this can be replicated in the statewide HIE, it will only improve the quality of care for a greater population. 

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== References ==
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[[Category:Reviews]]
[[Category:HIE]]
[[Category:Interoperability]]
[[Category: Training and User Support]]
[[Category: EHR]]
[[Category: HI5313-2015-FALL]]
[[Category:Interface, Usability and Accessibility]]
[[Category:EMR]]
[[Category:Workflow]]
[[Category:EHR implementation project]]
[[Category:CDS]]
[[Category: Technologies]]