2016
Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes
Doan S, Maehara C, Chaparro J, Lu S, Liu R, Graham A, Berry E, Hsu C, Kanegaye J, Lloyd D, Ohno‐Machado L, Burns J, Tremoulet A, Group T. Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes. Academic Emergency Medicine 2016, 23: 628-636. PMID: 26826020, PMCID: PMC5031359, DOI: 10.1111/acem.12925.Peer-Reviewed Original ResearchMeSH KeywordsChildData MiningElectronic Health RecordsEmergency Service, HospitalHumansMucocutaneous Lymph Node SyndromeNatural Language ProcessingSensitivity and SpecificityConceptsDiagnosis of KDKawasaki diseaseED notesHigh suspicionPediatric ED patientsSerious cardiac complicationsHigh clinical suspicionEmergency department patientsManual chart reviewCardiac complicationsChart reviewClinical suspicionFebrile illnessDepartment patientsED patientsElectronic health record systemsEmergency departmentClinical signsDiagnostic criteriaHealth record systemsPatientsClinical termsSuspicionDiagnosisRecord system
2007
Is redundancy in vital signs monitoring useful?
Curtis D, Bailey J, Pino E, Shih E, Greenes R, Guttag J, Stair T, Ohno-Machado L. Is redundancy in vital signs monitoring useful? AMIA Annual Symposium Proceedings 2007, 923. PMID: 18694023.Peer-Reviewed Original Research
2005
Real-time ECG algorithms for ambulatory patient monitoring.
Pino E, Ohno-Machado L, Wiechmann E, Curtis D. Real-time ECG algorithms for ambulatory patient monitoring. AMIA Annual Symposium Proceedings 2005, 2005: 604-8. PMID: 16779111, PMCID: PMC1560458.Peer-Reviewed Original Research