Review of Prediction Analytics Studies on Readmission for the Chronic Conditions of CHF and COPD: Utilizing the PRISMA Method

ABSTRACT

Hospital readmission for chronic illness is a ubiquitous phenomenon that is a major contributor to the growing costs of the healthcare sector. Here, PRISMA was used to identify studies dealing with predicting readmissions for CHF and COPD patients that implemented machine learning techniques. The PRISMA output yielded 21 articles that met the inclusion criteria. It is recommended to include previous visit data, and track the same patients over multiple visits when predicting these readmissions.

KEYWORDS:

• Readmission
• prediction analytics
• preferred reporting items for systematic reviews and meta-analyses

Notes on contributor

Ofir Ben-Assuli, is an associate professor in the faculty of Business Administration at the Ono Academic College, Israel. He also serves as the Associate Dean for Research at his College. He completed his Ph.D. in Management Information Systems, Tel Aviv University in 2011; MBA, Hebrew University in 2005 and a B.A. in Economics and Computer Science, Ben-Gurion University in 2002. His publications have appeared in MIS Quarterly, European Journal of Information Systems, Decision Sciences, Decision Support Systems, among others. He has been awarded several grants for his research including U.S.-Israel Binational Science Foundation and the German-Israeli Foundation, among others.

Notes

1. The LACE index is used to predict the risk of unplanned readmission or death within 30 days. It includes the length of admission stay (“L”), acuity of the admission (“A”), comorbidities of patients (“C”), and emergency department use of patients (“E”). Studies of the LACE index have shown that higher LACE scores predict higher patient readmissions. A LACE index score of greater than ten is considered to define patients at high risk for unplanned readmissions (Wang et al. (2014)).

Additional information

Notes on contributors

Ofir Ben-Assuli

Ofir Ben-Assuli, is an associate professor in the faculty of Business Administration at the Ono Academic College, Israel. He also serves as the Associate Dean for Research at his College. He completed his Ph.D. in Management Information Systems, Tel Aviv University in 2011; MBA, Hebrew University in 2005 and a B.A. in Economics and Computer Science, Ben-Gurion University in 2002. His publications have appeared in MIS Quarterly, European Journal of Information Systems, Decision Sciences, Decision Support Systems, among others. He has been awarded several grants for his research including U.S.-Israel Binational Science Foundation and the German-Israeli Foundation, among others.