Clinical data standards are used to store and communicate information related to healthcare so that its meaning is unambiguous. They are used in clinical practice, in activity analysis and finding, and in research and development.
There are many existing and proposed standards and many bodies working in this field.
In addition to standards specific to the clinical domain health informatics relies on other standards that are lower in the communications stack, [1][ circular reference] and on many standards from metrology.
Interoperability between disparate clinical information systems requires common data standards or mapping of every transaction.
However common data standards alone will not provide interoperability, and the other requirements are identified in "How Standards will Support Interoperability" from the Faculty of Clinical Informatics [2] and "Interoperability is more than technology: The role of culture and leadership in joined-up care" from the King's Fund [3]
Barriers to the widespread adoption of effective data standards include:
Clinical data standards are used to store and communicate information related to healthcare so that its meaning is unambiguous. They are used in clinical practice, in activity analysis and finding, and in research and development.
There are many existing and proposed standards and many bodies working in this field.
In addition to standards specific to the clinical domain health informatics relies on other standards that are lower in the communications stack, [1][ circular reference] and on many standards from metrology.
Interoperability between disparate clinical information systems requires common data standards or mapping of every transaction.
However common data standards alone will not provide interoperability, and the other requirements are identified in "How Standards will Support Interoperability" from the Faculty of Clinical Informatics [2] and "Interoperability is more than technology: The role of culture and leadership in joined-up care" from the King's Fund [3]
Barriers to the widespread adoption of effective data standards include: