Sentence examples for clinical statements from inspiring English sources

The CDA R2 model is richly expressive, enabling the formal representation of clinical statements (such as observations, medication administrations, and adverse events) such that they can be interpreted and acted upon by a computer.

Subcommittees were responsible for developing relevant clinical questions, using the Grading of Recommendations Assessment, Development and Evaluation method (www.gradeworkinggroup.org) to review, evaluate, and summarize the literature, and to develop clinical statements (descriptive) and recommendations (actionable).

Subcommittees were responsible for developing relevant clinical questions, using the Grading of Recommendations Assessment, Development and Evaluation method (http://www.gradeworkinggroup.org) to review, evaluate, and summarize the literature, and to develop clinical statements (descriptive) and recommendations (actionable).

The questions consisted of 12 lead ECGs with lead II and V1 rhythm strips, accompanied by brief clinical statements.

All clinical information can ultimately be expressed in "Entries", or logical clinical statements.

For example, the context of data entry is considered, in which the information generated by a "healthcare event", containing "clinical statements", is added.

Although the statement that age is the greatest risk factor for Age-related macular degeneration (AMD) is widely accepted, the cellular and molecular explanations for that clinical statement are not generally known.

Although the statement that age is a risk factor for many adult human diseases is widely accepted, the cellular and molecular explanations for that clinical statement are not generally known [1], [2].

Clinical statement alone is not enough to predict the progression of disease.

The clinical statement modeling (entry) in CDA utilizes the HL7 V3 RIM and Data Type R1 specifications to enable semantic interoperability.

This can be inferred by looking at the context, comparing the clinical statement with other similar statements, or checking with the clinician who made the remarks.