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Rinsing Out Bad Patient Data Increased Efficiency for Dental School | Global Intelligence Blog

Written by Melissa Team | Apr 2, 2019 7:00:00 AM

Rinsing Out Bad Patient Data Increased Efficiency for Dental School

Unverified and outdated address data plagued the database of the University of Iowa’s School of Dentistry, having a tremendous effect on the communication with its patients. Check out this case study to see how the dental school rinsed out bad data, continues to maintain sparkly clean patient records, and most importantly, increased operational efficiency.

Mailing has always been an integral form of communication for the school. With more than 150,000 patient visits each year, it was vital that the organization find a solution to verify addresses at the time of each appointment, and also update addresses of patients as they move. Explore how Melissa’s Data Quality Suite was utilized for real-time contact data verification, correction and standardization to help reduce undeliverable mail and increase patient outreach. Click here.

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All data goes bad (up to 25% per year), whether due to data entry errors or the simple fact that consumers change jobs, move, update email addresses, marry, etc. At Melissa, we help companies harness the value of their Big Data, legacy data, and people data (names, addresses, phone numbers, and emails) to drive insight, maintain data quality, and support global intelligence