Forecasting the maturation of electronic health record functions among US hospitals: Retrospective analysis and predictive model

Keyphrases

• Retrospective Analysis 100%
• Electronic Health Records 100%
• US Hospitals 100%
• Record Functions 100%
• Predictive Model 100%
• Electronic Health Record Adoption 100%
• Health Information Systems 27%
• Health Management System 27%
• Meaningful Use 18%
• Diffusion Rate 18%
• Stage Model 18%
• Adoption Rate 18%
• Bass Model 18%
• First Year 9%
• Quality of Health Care 9%
• Care Delivery 9%
• Paper-based 9%
• Improving Health Care 9%
• Extended Period 9%
• Technological Improvement 9%
• Technology Adoption 9%
• Direct Care 9%
• Healthcare Efficiency 9%
• Hospital Type 9%
• Technological Capabilities 9%
• Electronic Information 9%
• Advanced Technologies 9%
• Inflection Point 9%
• Technological Diffusion 9%
• Used Electronics 9%
• Technology Diffusion 9%
• S-curve 9%
• Technology Diffusion Model 9%
• EMRAM 9%
• Policy Change 9%
• Model Data 9%
• Decision Support Application 9%
• Advanced Functionality 9%
• Adjusted R-squared 9%

Nursing and Health Professions

• Electronic Health Record 100%
• Predictive Model 100%
• Electronic Medical Record 58%
• Meaningful Use Criteria 16%
• Diffusivity 16%
• Health Care Quality 8%
• Policy Change 8%
• Diffusion Model 8%

Medicine and Dentistry

• Electronic Health Record 100%
• Maturation 100%
• Electronic Patient Record 58%
• Quality of Health Care 8%
• Labor Stage 8%
• Innovation Adoption 8%