This paper reviews the application of the Technology Acceptance Model (TAM) to health care, focusing on studies that quantitatively tested relationships between variables specified by TAM. The review includes 16 data sets from over 20 studies, covering a wide range of health IT and clinician populations. Key findings indicate that TAM predicts a substantial portion of the use or acceptance of health IT, but certain relationships are inconsistent or infrequently assessed. The authors suggest that TAM may benefit from additions and modifications, particularly in standardizing the model and adapting it specifically to the health care context using beliefs elicitation methods. The paper also discusses the strengths and challenges of TAM in health care, emphasizing the need for more standardized and context-specific measures and the importance of exploring moderating factors such as voluntariness of IT use and the stage of IT implementation.This paper reviews the application of the Technology Acceptance Model (TAM) to health care, focusing on studies that quantitatively tested relationships between variables specified by TAM. The review includes 16 data sets from over 20 studies, covering a wide range of health IT and clinician populations. Key findings indicate that TAM predicts a substantial portion of the use or acceptance of health IT, but certain relationships are inconsistent or infrequently assessed. The authors suggest that TAM may benefit from additions and modifications, particularly in standardizing the model and adapting it specifically to the health care context using beliefs elicitation methods. The paper also discusses the strengths and challenges of TAM in health care, emphasizing the need for more standardized and context-specific measures and the importance of exploring moderating factors such as voluntariness of IT use and the stage of IT implementation.