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The eCollaborative: using a quality improvement collaborative to implement the National eHealth Record System in Australian primary care practices.

Knight AW, Szucs C, Dhillon M, Lembke T, Mitchell C - Int J Qual Health Care (2014)

Bottom Line: The collaborative methodology was adapted for implementing innovation and proved useful for engaging with multiple small practices, facilitating low-risk testing of processes, sharing ideas among participants, development of clinical champions and development of resources to support wider use.Data quality was a key challenge for this innovation, and quality measures chosen require development.Patient participants were partners in improvement.

View Article: PubMed Central - PubMed

Affiliation: University of NSW, Fairfield, NSW, Australia The Improvement Foundation, Adelaide, South Australia, Australia.

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Average percentage of diagnoses coded in practice electronic health records (n = 56).
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MZU059F2: Average percentage of diagnoses coded in practice electronic health records (n = 56).

Mentions: Practice electronic health record data quality improvement measures are reported in Figs 2 and 3 and show little change. It is possible that the measures failed to capture the improvement that did occur. This is supported by the observation that there was a considerable increase in the absolute numbers of current scripts and coded diagnoses, suggesting that work was done and improvements were made. The development of useful, validated data quality improvement measures for Australian general practice is a need demonstrated by this project.Figure 2


The eCollaborative: using a quality improvement collaborative to implement the National eHealth Record System in Australian primary care practices.

Knight AW, Szucs C, Dhillon M, Lembke T, Mitchell C - Int J Qual Health Care (2014)

Average percentage of diagnoses coded in practice electronic health records (n = 56).
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4126615&req=5

MZU059F2: Average percentage of diagnoses coded in practice electronic health records (n = 56).
Mentions: Practice electronic health record data quality improvement measures are reported in Figs 2 and 3 and show little change. It is possible that the measures failed to capture the improvement that did occur. This is supported by the observation that there was a considerable increase in the absolute numbers of current scripts and coded diagnoses, suggesting that work was done and improvements were made. The development of useful, validated data quality improvement measures for Australian general practice is a need demonstrated by this project.Figure 2

Bottom Line: The collaborative methodology was adapted for implementing innovation and proved useful for engaging with multiple small practices, facilitating low-risk testing of processes, sharing ideas among participants, development of clinical champions and development of resources to support wider use.Data quality was a key challenge for this innovation, and quality measures chosen require development.Patient participants were partners in improvement.

View Article: PubMed Central - PubMed

Affiliation: University of NSW, Fairfield, NSW, Australia The Improvement Foundation, Adelaide, South Australia, Australia.

Show MeSH