Natural Language Processing and Quality Assessment in Primary Care

2014-08-27 03:17:37 | BioPortfolio


The investigators propose to use a Natural Language Processing System (NLP) to provide an initial baseline report for primary care patients at risk for diabetes and cardiovascular complications that will include: a) evidence of foot exam documentation in the previous year; b) use of aspirin for cardiovascular risk reduction; and c) tobacco use. As part of a randomized trial, we plan to use a previously validated mailed survey (NCQA Provider Recognition Program) that requests information on the last foot exam, use of aspirin and tobacco. Patients who have been identified by NLP as not having had a foot exam will be randomized into treatment and control arms. Both arms will receive an informational letter; with a second mailing to nonresponders after one month, describing the key strategies for effective patient-physician communication during the clinical encounter. The treatment arm will also receive an informational letter and patient education brochure containing key messages about the importance of regular foot examinations. NLP will be repeated after 6 months to compare the impact of the patient education materials.

Study Design

Allocation: Randomized, Control: Placebo Control, Intervention Model: Single Group Assignment, Masking: Single Blind (Caregiver), Primary Purpose: Health Services Research




Brochure: Care of the Feet for Those at Risk, Quality Survey: foot exam, tobacco and aspirin use


Mayo Clinic Rochester
United States


Active, not recruiting


Mayo Clinic

Results (where available)

View Results


Published on BioPortfolio: 2014-08-27T03:17:37-0400

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