Description of pharmacist-led quality improvement huddles in the patient-centered medical home model.

Objectives: This case study describes the implementation of pharmacist-led quality improvement team huddles in the patient-centered medical home clinic model. The purpose of these huddles is to have an impact on clinic-based quality metrics.

Setting: Pharmacists embedded into primary care clinics at 2 separate health centers, within a large academic medical center, were funded by the clinics to lead their quality improvement (QI) team huddles.

Practice Description: Huddle team members vary depending on the practice sites and can include physicians, pharmacists, advanced practice providers, nurses, administrative managers, social workers, and medical assistants. These huddles are typically held every 1-2 weeks for 15-20 minutes. Small rapid plan-do-check-act cycles allow the process to be quickly assessed and altered if needed. The quality metric that the team focused on changed based on clinic goals. Two case studies showcase successful examples of quality improvement initiatives that had a significant impact on the individual clinic-based metrics.

Innovation: The 2 case studies focus on pharmacist-led quality team huddles for controlled substance and asthma action plan metrics. The clinical pharmacists involved were pivotal to organizing and helping incorporate new processes within their clinics sites.

Results: The work of the team huddles brought the clinics from a nonreimbursable status to reimbursable for these metrics.

Discussion: Because pharmacists in the ambulatory care setting focus on chronic care disease management and QI, they are in an excellent position to lead team huddles focused on QI and registry management. By establishing interdisciplinary QI team huddles led by clinical pharmacists, these clinics were able to increase revenue for the clinic in the way of increasing pay-for-performance measures.

Conclusion: Pharmacist-led quality improvement team huddles can have a positive impact on quality metrics, population health, and reimbursement.