1. Brainstorming

2. Goal
Identify a use case and create a collaborative group to build a POC that demonstrates the secondary use of EMR data for patient recruitment for clinical trials

3. Is the use case good? Chimezie: yes Rachel: yes June: yes? Aaron: yes
Vijay: yes
Jyotishman: yes
Ronen: yes
Tom: Qualified Yes
Transformation
George Allen/VA: Yes
Susie – share with Lilly development
Yes
Don: Product uses machine learning
Qualified yes
Dan: Good use case
Adrian: Good use case
Alan: Yes
Eric N: Yes
Joanne : Yes

4. Issues Characteristics of patients may not be available in the EMR
Broadness of Inclusion/Exclusion Criteria
Make sure you incorporate the hard cases
Variables of interest
Some other aspect of EMR shipping to the patient
Clinical Database and a funder of clinical trial
Interfaces
Mapping into EMR system…. Need for mapping tools
Data required for regulatory agencies..
Interactions with Machine Learnining Social Networks
Metrics of success
Inter-rater reliability?
Coverage, etc.
Feedback
Explanation, data collection

5. Data Issue Vipul: Will try to get some data
Alan: choose criteria to reduce the type of anonymyzation required
Need to develop specific criteria and data requirements spreadsheet
K anonymyzation
Data should come from at least two sources if not more

6. Resources George Allen – college student Tom – Get back to me
Ronen Fox: Hopefully at least 1
Jyotishman: Get back to me
Scott Marshall: 1 student possible
Joanne: Get back to me
Aaron: Get back
Michel: 2 students or more
Rachel: 1 day/week
Alan: Get back to me
Eric: U Cincinnati – Bruce Aronow’s students
Amit Sheth’s students
Chimezie:
Vipul: 1 day/week
Susie: ! Student
Dan: 1 day/week
Marcus: something more concrete
Adrian – Rule bases applications … need to define

7. Concrete Project Plan
Do it on the next Telcon

8. Regulatory Issues
June: Federally mandate barrier… Clinicians cannot refer patients for research studies
A researcher can find cohort and go to the clinician