Research and applications: Phenotyping for patient safety: algorithm development for electronic health record based automated adverse event and medical error detection in neonatal intensive care. - Qi Li 004; Kristin Melton; Todd Lingren; Eric S. Kirkendall; Eric S. Hall; Haijun Zhai; Yizhao Ni; Megan Kaiser; Laura Stoutenborough; Imre Solti (J. Am. Medical Informatics Assoc., 2014)

Automated detection of medication administration errors in neonatal intensive care. - Qi Li 004; Eric S. Kirkendall; Eric S. Hall; Yizhao Ni; Todd Lingren; Megan Kaiser; Nataline Lingren; Haijun Zhai; Imre Solti; Kristin Melton (J. Biomed. Informatics, 2015)

Integrating Smart Pump Infusion Data with Electronic Health Record Data to Analyze Medication Administration Alerts. - Todd Lingren; Yizhao Ni; Eric S. Hall; Matthew Leonard; Eric S. Kirkendall; Kristin Melton (AMIA, 2017)

Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit. - Yizhao Ni; Todd Lingren; Eric S. Hall; Matthew Leonard; Kristin Melton; Eric S. Kirkendall (J. Am. Medical Informatics Assoc., 2018)

Smart pumps improve medication safety but increase alert burden in neonatal care. - Kristin Melton; Kristen Timmons; Kathleen E. Walsh; Jareen Meinzen-Derr; Eric S. Kirkendall (BMC Medical Informatics Decis. Mak., 2019)