One of the poorly kept secrets of clinical informatics is that clinical data is messy. Despite all of our efforts to adhere to standards and increase data accessibility, even the best health information exchange (HIE) or clinical data warehouse contains medical records with gaping holes — such as missing diagnoses, uncollected documents and lost prescriptions. Learn how a clinical inference engine laid on top of HIE data can help fill in missing diagnoses to improve patient registries and population-health efforts.

John Wilkinson, Executive Vice President, Clinical Architecture
Ed Chung, MD, Physician Advisor, InterSystems