about
Predicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis.Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis.The Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review.Redesigning an Information System that Reduces Health Care Accessibility Effort and Increases User Acceptance and Satisfaction: A Comparative Effectiveness StudyAn Evaluation of Overcoming Barriers to Engage Consumers in the Use of Health Care Information TechnologyPredicting Consumer Effort in Finding and Paying for Health Care: Expert Interviews and Claims Data Analysis (Preprint)Facilitating the Informed Consent Process Using Teleconsent: Protocol for a Feasibility and Efficacy StudyFacilitating The Informed Consent Process Using Teleconsent: A Study Protocol (Preprint)Assessment of Personal Health Care Management and Chronic Disease Prevalence: Comparative Analysis of Demographic, Socioeconomic, and Health-Related VariablesThe Impact of Visualization Dashboards on Quality of Care and Clinician Satisfaction: Integrative Literature Review (Preprint)Assessing the Status Quo of EHR Accessibility, Usability, and Knowledge DisseminationInterpreting COVID-19 and Virtual Care Trends: Cohort StudyThe Acceptability of Text Messaging to Help African American Women Manage Anxiety and Depression: Cross-Sectional Survey StudyFactors Determining Patients' Choice Between Mobile Health and Telemedicine: Predictive Analytics AssessmentA mixed-methods evaluation framework for electronic health records usability studiesAnalysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds
P50
Q47097595-E6081A66-07C9-4F67-9DF2-086E7244104CQ55035066-952B7C18-65B4-4B24-8AA4-8F02A330D12EQ55478351-FE2E6DF6-894E-44FC-B870-721CB2C9D413Q57484486-E84DE467-6650-4F77-A8A3-3471CF36E2F4Q57660590-5B727B6F-AEFC-4CA1-BFB0-D3B80A6AEB21Q57660591-9779708D-3660-4204-A786-326226AE7005Q57799997-0E79B8F5-91C0-40E1-8EA6-85AD3A8B3781Q57800009-A4368101-D2CF-4447-8F4C-4E3BA6905111Q57812558-8A3D4B81-5CFE-4643-B862-5E52D6DCDAF1Q63560777-04994F94-CADF-4198-909E-B0F81A9B7D95Q90862297-FC6CFEE7-DCAB-4395-BBD9-EFAD4FAE762FQ91600444-CED60DD2-99A3-40A4-9630-83914F74C178Q92468856-025DE55A-3E77-4418-AB5E-DD6382781DAAQ92747287-19237B9C-C3E5-4614-8793-8EBD511274EFQ93076444-67EC1616-5540-47F9-BE3A-E3F42478564AQ96021052-D9042CE7-8CAA-4BE9-9D28-B8A9D2C696E6
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Saif Khairat
@ast
Saif Khairat
@en
Saif Khairat
@es
Saif Khairat
@nl
type
label
Saif Khairat
@ast
Saif Khairat
@en
Saif Khairat
@es
Saif Khairat
@nl
prefLabel
Saif Khairat
@ast
Saif Khairat
@en
Saif Khairat
@es
Saif Khairat
@nl
P106
P31
P496
0000-0002-8992-2946