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This book explores the issues that define and
control data quality and the mechanisms and
frameworks that can be developed to achieve and
sustain good data quality. The research began a
journey towards improved maturity around data
quality management in New Zealand healthcare, where
total data quality management is business as usual,
institutionalised into the daily practices of
organisations. The increasingly information
intensive nature of health care demands a proactive
and strategic approach to data quality to ensure the
right information is available to the right person
at the right time in the right format, all in
consideration of the rights of the patient to have
his/her health data protected and used in an ethical
way. The work extends and tests principles to
establish good practice and overcome
barriers. The Data Quality
Evaluation Framework and national Data Quality
Improvement Strategy provides clear direction for a
whole of orgnaisation way of viewing
data quality. The principles developed have been
tested outside of the health care environment and
have been found to be applicable in many kinds of
organisations.
control data quality and the mechanisms and
frameworks that can be developed to achieve and
sustain good data quality. The research began a
journey towards improved maturity around data
quality management in New Zealand healthcare, where
total data quality management is business as usual,
institutionalised into the daily practices of
organisations. The increasingly information
intensive nature of health care demands a proactive
and strategic approach to data quality to ensure the
right information is available to the right person
at the right time in the right format, all in
consideration of the rights of the patient to have
his/her health data protected and used in an ethical
way. The work extends and tests principles to
establish good practice and overcome
barriers. The Data Quality
Evaluation Framework and national Data Quality
Improvement Strategy provides clear direction for a
whole of orgnaisation way of viewing
data quality. The principles developed have been
tested outside of the health care environment and
have been found to be applicable in many kinds of
organisations.