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Evidence to Improve Care

Chronic Disease Management Systems for the Treatment and Management of Diabetes in Primary Health Care Practices in Ontario


Ontario Health Technology Advisory Committee Recommendations

  • The Ontario Health Technology Advisory Committee recommends that information systems for the management of chronic disease be subject to the same rigorous standards of evidence applied to other forms of technology.

  • The Ontario Health Technology Advisory Committee recommends further controlled evaluations of these types of electronic tools, and consideration of how they will operate and integrate with existing e-health technologies.

Read the full OHTAC Recommendation report



In Ontario, many patients with diabetes do not receive care and checks as often as they should. An Ontario report showed less than half of patients with diabetes (49 percent) get care as often as guidelines recommend. A web-based system is available to help doctors and patients make decisions about managing chronic diseases, such as diabetes.


Health Quality Ontario Reviews Chronic Disease Management Systems

Web-based management systems are believed to make care for patients with diabetes better by helping doctors follow guidelines. An added benefit is records are more accurate when test results are shared between laboratories and doctors’ offices electronically.


Evaluation of a Chronic Disease Management System for the Treatment and Management of Diabetes in Primary Health Care Practices in Ontario: An Observational Study
April 2014 (PDF)


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The Ministry of Health and Long-Term Care endorses these recommendations.

The Ministry of Health and Long-Term Care has provided the following response: The Ministry agrees with these recommendations. The Ontario Laboratory Information System (OLIS) is operational and as of November 2016, OLIS collects 88% of all lab results generated by hospital, public health and community laboratories ensuring consistent electronic reporting to providers. Nearly 100,000 clinical users have access to OLIS data to support patient care.




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