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 ResearchConceptsDiagnosis 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
2011
Wireless Patient Monitoring in a Clinical Setting
Pino E, Curtis D, Stair T, Guttag J, Ohno-Machado L. Wireless Patient Monitoring in a Clinical Setting. 2011, 39-60. DOI: 10.1201/b11522-4.Peer-Reviewed Original Research
2009
Using ambient intelligence for physiological monitoring
Curtis D, Bailey J, Pino E, Stair T, Vinterbo S, Waterman J, Shih E, Guttag J, Greenes R, Ohno-Machado L. Using ambient intelligence for physiological monitoring. Journal Of Ambient Intelligence And Smart Environments 2009, 1: 129-142. DOI: 10.3233/ais-2009-0018.Peer-Reviewed Original ResearchEmergency department