2020-10-26 Authoring Meeting Agenda and Notes

1. Connection, Agenda/Objectives (5 min);

2. Current, Outstanding, Backlog (20 min);

   1. Timing for bi-weekly meetings;

   2. Feedback on Clinical Shareable Pathways presentation;

   3. Splinter Group, Field Guide Updates;

   4. Lessons Learned as we proceed, consumers, challenges, etc.

   5. Prioritization: i. Most important; ii. Low hanging fruit; iii. Conditional (if time, what?);

3. Clinical Shareable Pathways

   1. Feedback, immediate feedback - survey, focus group, track number of views

   2. Process for future feedback

   3. Other, future topics?

4. Patterns and examples (covid ed, hypertension)

   1. Feedback system

   2. Rating system

   3. What do we need to set it up

5. Pattern Activity Update; Field Guide Update

6. Next OMG Meeting, what to prep? Upcoming milestones?

7. New/Upcoming Topics; (5 min);

   1. Identify;

8. Actions and Next Steps; (5 min);

   1. Review;

1.

2. Timing/day? PROPOSED: move 1-2:30 Eastern every other Monday (Cary to work with Tracie and Linda)

3. Clinical Shareable Pathways feedback; opportunity to capture feedback earlier post the session; gallery view/review as possible way to handle feedback (off-line or on-line feedback on Pathways, 3-4 examples; ); create on Confluence a place to store those 3-4 examples to provide feedback; functioning model, how to capture that? do both through Confluence and Virtual Authoring Tool. Set up in confluence, connect to example authoring tools to record and review and capture the comments and feedback; Tracie/Cary w Shawn on how to best proceed. Also, how to handle the feedback, deeper issues, comments, etc. Identify which create more action or discussion.

4. Understand the data side; present the data models; Steve White (SDMN); need to agree on patterns and approaches; need to develop the problem statement - invite Steve White to provide presentation on the data models; ***Please note: any presentations requested, proposed topics, please identify during, or between meetings;

5. Patterns and examples (covid ed, hypertension);

all reviewable;

6. Factual Characteristic; scope/nature/intent: data on the models, descriptive model of how org and people in org behave today….different than full computation vs partial computation; people have misunderstood examples in the past; risk is mis-matching model grades