Abstract
Aim:
National cardiovascular disease (CVD) risk guidelines recommend population-level screening and pharmacotherapy for high-risk individuals. There is no validated system for surveillance of up-to-date risk factor measurement and treatment. This study evaluated an existing health analytics system as a potential CVD surveillance system.
Method:
In a single Primary Health Network, Primary Sense health analytics system was evaluated as a CVD surveillance system. Errors were identified and corrected. Numbers of patients within different risk groups were identified, and proportions on appropriate therapy were reported.
Results:
Data transfer from general practice electronic medical record systems to Primary Sense was correct, but
errors were found regarding implementation of Australian CVD guidelines. Following corrections, out
of a population of 254,357 individuals, 87,487 (34%) were eligible for CVD risk assessment. Of these, 4,199 (5%) had pre-existing CVD, 5,124 (6%) were clinically determined high-risk and 42,132 (54%) had no risk score available. Of those with a risk score available, 2,285 (6%) were high-risk. 11,608 patients had prior CVD, clinically determined high-risk or a high CVD risk score and 6,710 (58%) of these were inadequately treated.
Conclusions:
Health analytics systems in current use have the potential to act as surveillance systems to monitor CVD preventive care but require evaluation.
National cardiovascular disease (CVD) risk guidelines recommend population-level screening and pharmacotherapy for high-risk individuals. There is no validated system for surveillance of up-to-date risk factor measurement and treatment. This study evaluated an existing health analytics system as a potential CVD surveillance system.
Method:
In a single Primary Health Network, Primary Sense health analytics system was evaluated as a CVD surveillance system. Errors were identified and corrected. Numbers of patients within different risk groups were identified, and proportions on appropriate therapy were reported.
Results:
Data transfer from general practice electronic medical record systems to Primary Sense was correct, but
errors were found regarding implementation of Australian CVD guidelines. Following corrections, out
of a population of 254,357 individuals, 87,487 (34%) were eligible for CVD risk assessment. Of these, 4,199 (5%) had pre-existing CVD, 5,124 (6%) were clinically determined high-risk and 42,132 (54%) had no risk score available. Of those with a risk score available, 2,285 (6%) were high-risk. 11,608 patients had prior CVD, clinically determined high-risk or a high CVD risk score and 6,710 (58%) of these were inadequately treated.
Conclusions:
Health analytics systems in current use have the potential to act as surveillance systems to monitor CVD preventive care but require evaluation.
| Original language | English |
|---|---|
| Journal | Heart, Lung and Circulation |
| DOIs | |
| Publication status | Accepted/In press - 27 Nov 2025 |
