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Analysis of medical claims data frequently requires identifying a disease cohort or controlling for chronic conditions. The Chronic Conditions Warehouse (ccwdata.org) applies validated algorithms for discerning multiple chronic conditions in Medicare claims data, and CMS provides the results of their application with Medicare claims data if requested. The algorithms use a combination of diagnosis and procedure codes and selection rules, which vary among conditions. For example, to eliminate rule-out diagnoses, the algorithm for diabetes requires one set of diagnosis codes observed on any inpatient or skilled nursing facility claim, or two claims at least a day apart on a physician claim. This presentation discusses a SAS® macro that applies CCW-like rules to any data set either from insurance claims, or electronic health records (EHR) containing a full picture of diagnoses and procedures from patient medical visits. The macro package includes the CCW-validated algorithms (the default option), but also has the flexibility for the user to apply the algorithm to a different set of diagnoses and procedures. The user can either implement variations of the CCW definitions or identify entirely new conditions, so long as they can be implemented using diagnosis or procedure codes, claim types and CCW-like rules. The macro package is described, including how it’s applied to medical claims from a private insurer. PRESENTER: Patricia Ferido, Leonard D. Schaeffer Center for Health Policy and Economics SESSION ID: 1063 TOPIC: Data Management INDUSTRY: Health Care AUDIENCE: Analyst, Programmer, Researcher SKILL LEVEL: Appropriate for all levels Learn more about SAS software ◉ Free SAS Online Training - https://www.sas.com/en_us/training/of... ◉ Contact SAS - https://www.sas.com/en_us/contact.geo... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com/contact SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► / sassoftware Twitter ► / sassoftware LinkedIn ► / sas Blogs ► https://blogs.sas.com RSS ►https://www.sas.com/rss