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Understanding the Differences Between 1:1 Verification, 1:Few Segmentation and 1:N Identification for Biometric Patient Identification Systems
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Understanding the Differences Between 1:1 Verification, 1:Few Segmentation and 1:N Identification for Biometric Patient Identification Systems

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Healthcare biometrics applications are increasingly becoming a part of the industry's architecture. As more and more facilities evaluate the benefits of using a biometric patient identification system …

Healthcare biometrics applications are increasingly becoming a part of the industry's architecture. As more and more facilities evaluate the benefits of using a biometric patient identification system to eliminate duplicate records, increase patient safety, lower hospital liability and stop medical identity fraud, it's important to understand the difference between 1:1 verification, 1:Few segmentation and 1:N identification searches. This presentation explains the differences between these search types in a biometric patient identification system, why 1:1 and 1:Few searches can't prevent duplicate medical records or medical identity fraud and why 1:N searches are the optimal searches for healthcare biometrics.

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  • 1. Biometric Patient Identification Understanding the Differences Between 1:1Verification, 1:Few Segmented Identification and 1:N Identification
  • 2. Duplicate patient records can havenegative impacts on patient safety. www.RightPatient.com
  • 3. Studies have shown that: • Avg. hospital duplicate rate is 5-10% • Hidden cost of duplicates = $50 • 5 dupes/day = $78,000/year (based on 6 day week)† McClellan, Molly. Duplicate Medical Records: A Survey of Twin Cities Healthcare Organizations. AMIA Annu Symp Proc. 2009; 2009:421–425. www.RightPatient.com
  • 4. Using consultants or software to de-dupe medical records isEXPENSIVE and TIME CONSUMING www.RightPatient.com
  • 5. One hospital spent $729,000 in consulting fees to merge their duplicate medical records. Out of 65,000 potential dupes, only 22,000 were merged.† McClellan, Molly. Duplicate Medical Records: A Survey of Twin Cities Healthcare Organizations. AMIA Annu Symp Proc. 2009; 2009:421–425. www.RightPatient.com
  • 6. Biometric technology can preventduplicate patient records ONLY IF the system performs a true One-To-Many (1:N) comparison www.RightPatient.com
  • 7. The Difference BetweenBiometric Search Types www.RightPatient.com
  • 8. One-to-One (1:1) Verification Here’s who I am There’s my Let’s confirm to biometric make sure! template“Are you who you claim to be?” www.RightPatient.com
  • 9. One-to-Few (1:Few) Segmented Identification DOB DOB 9/9/76 6/8/80 DOB 5/21/72 Let’s hope Scan your you can tell biometric System comparesme something only against smallabout yourself segment of database“Are you in this group?” www.RightPatient.com
  • 10. One-to-Many (1:N) Identification Scan your biometric Compare against entire biometric database“Who are you?” www.RightPatient.com
  • 11. Takeaways• 1:1 and 1:Few CANNOT prevent duplicates or fraud• 1:N CAN www.RightPatient.com
  • 12. RightPatient™Biometric Patient Identification System Contact us for more information: M2SYS Technology 1050 Crown Pointe Pkwy. Suite 850 Atlanta, GA 30338 Phone: (770) 393-0986 Email: sales@m2sys.com Twitter: @m2sys YouTube: youtube.com/m2sys Facebook: facebook.com/m2sys LinkedIn: linkedin.com/ www.RightPatient.com