Hi Abu, Glad to know that you guys are taking a lead in this.
For the geocoding project, we are piloting it off of the NEXT-D diabetes project. Many social determinants are associated with the disproportionate development of Type 2 diabetes. For example, type 2 diabetes is more prevalent in minority races and ethnicities, as evidenced by Hispanics having 66% greater risk and non-Hispanic blacks having 77% greater risk than non-Hispanic whites. Some social variables available in the American Community Survey are also associated with type 2 diabetes include income, education, and housing. Therefore, the following should be some demonstration queries to consider: 1. How many diabetic patients (ICD9: 250) reside in rented property vs. own home. 2. How many diabetic patients (ICD9: 250) reside in household size of 4+ vs. 3, 2 or 1. 3. How many diabetic patients (ICD9: 250) reside in households of different median household income? 4. How many diabetic patients (ICD9: 250) reside in households with the highest level of education completed being college, high school, vs. lower than high school. Thank you, Mei From: Mosa, Abu S. [mailto:[email protected]] Sent: Tuesday, March 22, 2016 11:10 AM To: Mei Liu Cc: '<[email protected]>' Subject: GPC Geocoding project Hi Mei, We are working on integrating the geocoding data in i2b2. We plan to demonstrate query execution around mid-April. Do you have any particular query in mind to execute in i2b2 as part of your geocoding project? If so, we will plan on demonstrating the query. Thanks. Regards, Abu Saleh Mohammad Mosa, PhD Director, Research Informatics MU Institute for Clinical and Translational Science One Hospital Drive, NW505, DC018.00 Columbia, MO 65212 Phone: 573-882-8349 Email: [email protected]<mailto:[email protected]>
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