2021
The Importance of Contextual Understanding in Solving the Last Mile Problem.
Kuziemsky C, Nøhr C, Marcilly R, Dusseljee-Peute L, Zhu X, Elkin PL. The Importance of Contextual Understanding in Solving the Last Mile Problem. Studies In Health Technology And Informatics 2021, 286: 3-8. PMID: 34755681, DOI: 10.3233/shti210625.Peer-Reviewed Original ResearchConceptsHealth information technologyLast mile problemDigital health landscapeMile problemHealth information managementInformation managementInformation technologyData dashboardInformatics solutionsHealth informaticsDesign focusHealthcare managementSociotechnical analysisTechnologyImplementationEvaluation methodDashboardHealthcareNecessary supportInformaticsHealth technologiesWorkloadRole contextCOVID-19 contextContextual understandingEstablishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders
Ash GI, Stults-Kolehmainen M, Busa MA, Gaffey AE, Angeloudis K, Muniz-Pardos B, Gregory R, Huggins RA, Redeker NS, Weinzimer SA, Grieco LA, Lyden K, Megally E, Vogiatzis I, Scher L, Zhu X, Baker JS, Brandt C, Businelle MS, Fucito LM, Griggs S, Jarrin R, Mortazavi BJ, Prioleau T, Roberts W, Spanakis EK, Nally LM, Debruyne A, Bachl N, Pigozzi F, Halabchi F, Ramagole DA, Janse van Rensburg DC, Wolfarth B, Fossati C, Rozenstoka S, Tanisawa K, Börjesson M, Casajus JA, Gonzalez-Aguero A, Zelenkova I, Swart J, Gursoy G, Meyerson W, Liu J, Greenbaum D, Pitsiladis YP, Gerstein MB. Establishing a Global Standard for Wearable Devices in Sport and Exercise Medicine: Perspectives from Academic and Industry Stakeholders. Sports Medicine 2021, 51: 2237-2250. PMID: 34468950, PMCID: PMC8666971, DOI: 10.1007/s40279-021-01543-5.Peer-Reviewed Original Research
2017
How Can Health Information Technologies Contribute to Improve Health Care Services for High-Need Patients?
Nøhr C, Botin L, Zhu X. How Can Health Information Technologies Contribute to Improve Health Care Services for High-Need Patients? 2017, 241: 28-35. PMID: 28809178.Peer-Reviewed Original Research
2014
Dynamic and accretive composition of patient engagement instruments for personalized plan generation.
Hsueh P, Zhu X, Deng V, Ramarishnan S, Ball M. Dynamic and accretive composition of patient engagement instruments for personalized plan generation. 2014, 201: 447-51. PMID: 24943580.Peer-Reviewed Original Research
2013
Clinicians′ evaluation of computer-assisted medication summarization of electronic medical records
Zhu X, Cimino J. Clinicians′ evaluation of computer-assisted medication summarization of electronic medical records. Computers In Biology And Medicine 2013, 59: 221-231. PMID: 24393492, PMCID: PMC4063892, DOI: 10.1016/j.compbiomed.2013.12.006.Peer-Reviewed Original ResearchConceptsAvoidable medication errorsMedication errorsMedication applicationMedication reconciliation processClinical practice workflowQuality of careElectronic medical recordsMedication reconciliationElectronic health record systemsMedication dataMedical recordsClinical usefulnessDrug interactionsMedication ordersHealth record systemsClinician feedbackPatient safetyClinician performanceCare efficiencyClinical facilitiesPatientsPractice workflowRecord systemCliniciansCare
2006
Towards a reference model for representing nursing information needs.
Shim E, Silfen E, Patel C, Chiu J, Zhu X, Kelly S, Park N, Allen M, Cimino J. Towards a reference model for representing nursing information needs. 2006, 122: 490-5. PMID: 17102306.Peer-Reviewed Original Research