iii. Monday, April 22, 2019 at 10:00 a.m. Eastern
iv. Monday, June 24, 2019 at 10:00 a.m. Eastern
v. Monday, September 23, 2019 at 10:00 a.m. Eastern
vi. Monday, November 25, 2019 at 10:00 a.m. Eastern
4. St. Joseph Mercy Hospital Oakland QI Story – Dr. Daniel Applefield & Cheryl Quinn (ACQR)
a. Using Trello to integrate MPOG’s initiatives with SJMH Anesthesia resident quality
improvement requirements
i. Started with p4p measures
ii. Adding MPOG toolkits for resident education and quality projects
iii. ASA difficult airway algorithm
b. Design Resident Quality Improvement Projects to encompass the Aspire measures.
i. Lead resident presents toolkits to other residents and reviews failed cases.
Residents submit in writing why the case failed and discuss ways to improve
practice.
ii. Creating an instructional curriculum for the Anesthesia Residents where they
police and educate themselves on monitoring the success of Quality Measures
defined by MPOG
c. Working on Transfer of Care in 2019 as well as PUL-02
i. Tidal volume chart currently on each anesthesia machine for quick reference
d. Arranged Trello dashboard in order of importance and frequently used information
e. Discussion:
i. All residents have signed in. Started initiative in October and will take time to see
impact.
ii. Security clearance from hospital needed to use Trello? – No. There is no patient
information on the Trello board however, everyone needs to get an official invite
to gain access.
iii. Moderators can only edit information on the Trello dashboard. Not all members
have access to move/add/delete information.
iv. Are residents using Trello via monthly feedback email or are they getting info
from other sources?
1. ACQR and QI champ review cases that have failed, point out major
offenders and educate individually.
2. Lead resident responsible for driving this project. Residents responsible
for looking up their own dashboard to identify failures as well as through
monthly feedback emails.
5. 2019 Plans
a. Work with selected sites to improve data quality for research and quality projects (data
cleaning!)
i. Cleaning to ensure all sites are contributing minimum data set.
b. Measure Plans:
i. Incidence of PONV in PACU