Quantcast
Channel: Healthcare IT News - Electronic Health Records (EHR, EMR)
Viewing all articles
Browse latest Browse all 1989

Crawl, Walk, Run: Three Real World Patient Matching Case Studies

$
0
0
Author: 
Verato
Sponsor: 
Verato
Primary topic: 
Resource Central: 
External url: 
http://www.himsslearn.org/crawl-walk-run-three-real-world-patient-matching-case-studies?source=HITNwebsite
Thumbnail: 
Body: 

Patient matching is at the forefront of the national Health IT conversation. Senators are urging the GAO to consider a national patient matching strategy, and the ONC and CHIME have both run patient matching competitions in search of a better approach. 

It’s no secret that a new approach to patient matching is sorely needed. The average duplicate record rate within health systems is 20% and growing. And when exchanging health information between health systems, the patient matching error rate is upwards of 50%. These numbers are jarring, but more importantly they drastically impact patient safety, patient care, and business costs. Luckily, a next-generation patient matching approach exists that organizations can leverage in three simple steps to dramatically improve their patient matching.

Attend this webinar to learn about this next-generation matching approach, called "Referential Matching,” and to hear about the real-world successes that three large healthcare organizations have seen with Referential Matching.

Primary Topic: 
Specific Terms: 
Disable Auto Tagging: 
Short Headline: 
Crawl, Walk, Run: Three Real World Patient Matching Case Studies
Newsletter hed: 
Crawl, Walk, Run: Three Real World Patient Matching Case Studies
Newsletter teaser: 
Patient matching is at the forefront of the national Health IT conversation. Senators are urging the GAO to consider a national patient matching strategy, and the ONC and CHIME have both run patient matching competitions in search of a better approach. It’s no secret that a new approach to patient matching is sorely needed. The average duplicate record rate within health systems is 20% and growing. And when exchanging health information between health systems, the patient matching error rate is upwards of 50%. These numbers are jarring, but more importantly they drastically impact patient safety, patient care, and business costs. Luckily, a next-generation patient matching approach exists that organizations can leverage in three simple steps to dramatically improve their patient matching. Attend this webinar to learn about this next-generation matching approach, called "Referential Matching,” and to hear about the real-world successes that three large healthcare organizations have seen with Referential Matching.

Viewing all articles
Browse latest Browse all 1989

Trending Articles