2016
Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges
Amarasingham R, Audet A, Bates D, Glenn Cohen I, Entwistle M, Escobar G, Liu V, Etheredge L, Lo B, Ohno-Machado L, Ram S, Saria S, Schilling L, Shahi A, Stewart W, Steyerberg E, Xie B. Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges. Healthcare 2016, 4: 1163. PMID: 27141516, PMCID: PMC4837887, DOI: 10.13063/2327-9214.1163.Commentaries, Editorials and LettersPredictive analytics applicationsAnalytics applicationsPredictive analyticsData sharingData barriersPredictive model developmentElectronic health record dataCertification frameworkReal timeEfficient mannerModel developmentAvailable electronic health record dataHealth record dataList of recommendationsSystematic frameworkAlgorithmDiverse expertiseRecent explosionEarlier frameworkFramework
2011
Feasibility Evaluation of Smart Stretcher to Improve Patient Safety during Transfers
Ohashi K, Kurihara Y, Watanabe K, Ohno-Machado L, Tanaka H. Feasibility Evaluation of Smart Stretcher to Improve Patient Safety during Transfers. Methods Of Information In Medicine 2011, 50: 253-264. PMID: 21057715, DOI: 10.3414/me0616.Peer-Reviewed Original ResearchConceptsSmart StretcherWireless networksIntelligent alarm systemWireless sensor networksNetwork-based systemZigBee wireless networkVital sign sensorsSensor networksRFID technologyIndoor positioning systemPatient IDPatient identification systemPatient's vital signsIdentification systemSimulated hospital environmentReal timeAlarm systemType pressure sensorApnea detectionFeasibility experimentsNetworkPressure sensorPositioning systemTechnical feasibility studySubjective evaluation