Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data
A semi-systematic review resulted in the identification of 32 articles and 297 predictors of hospital readmission. The mapping of these variables with common HL7 segments resulted in an 89.2% total coverage, with the DG1 (diagnosis) segment having the highest coverage of 39.4%. The PID (patient identification) and OBX (observation results) segments cover 13.9% and 9.1% of the variables. Evaluating the same coverage in three sample HIOs showed some challenges with data completeness, which may hinder the effectiveness of the readmission risk prediction model.
hospital readmissions health information exchange risk prediction model health information organization health information technology