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Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models.

, , , , , , , , , and . BMC Med. Inf. & Decision Making, (2015)

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An Automated Model to Identify Adult Medicine Patients at Risk for 30-Day Readmission Using Electronic Medical Record Data., , , , , , , and . AMIA, AMIA, (2013)Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models., , , , , , , , , and . BMC Med. Inf. & Decision Making, (2015)Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States., , , , , and . BMC Med. Inf. & Decision Making, (2008)Identifying patients with diabetes and the earliest date of diagnosis in real time: an electronic health record case-finding algorithm., , , , and . BMC Med. Inf. & Decision Making, (2013)Research Paper: Measuring Clinical Information Technology in the ICU Setting: Application in a Quality Improvement Collaborative., , , , , , and . JAMIA, 14 (3): 288-294 (2007)Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data., , , , , , , and . BMC Med. Inf. & Decision Making, (2013)