AFHTO’s Algorithm Project was established in 2014 with a small group of QIDS Specialists interested in data mapping. The group quickly realized that there was a need to develop and test standard EMR queries to enhance the ability of all teams to extract and analyze EMR data, and to facilitate data clean-up initiatives.

Access to data in primary care is difficult, largely because the quality of data in Electronic Medical Records (EMRs) is poor. While it is important to improve the quality of data going into EMRs, it is also worthwhile to get better at using the data and systems as they are. Over 30 Quality Improvement Decision Support Specialists (QIDSS) are dispersed across the province to help members access and use data better to improve care, supported by our Quality Improvement in Primary Care Community of Practice.

Over 30 Quality Improvement Decision Support Specialists (QIDSS) are dispersed across the province to help members access and use data better to improve care, supported by our Quality Improvement Decision Support (QIDS) program.

Theme Description: Patients and caregivers are increasingly looking to be engaged and consulted in their own care. Primary care is finding innovative ways to support patient decision-making about their care and support for self-care. Presentations in this stream will include topics such as education programs for patients and their families; patient involvement in care planning; tools and coaching for patients to manage their own care; and using patient feedback to achieve a seamless patient experience.