CC BY-NC-ND 4.0 · Appl Clin Inform 2017; 08(02): 322-336
DOI: 10.4338/ACI-2016-11-RA-0196
Research Article
Schattauer GmbH

The Building Blocks of Inter-operability

A Multisite Analysis of Patient Demographic Attributes Available for Matching
Adam Culbertson
HIMSS, Chicago, IL
,
Satyender Goel
Northwestern University, Chicago, IL
,
Margaret B. Madden
Northwestern University, Chicago, IL
,
Niloufar Safaeinili
Northwestern University, Chicago, IL
,
Kathryn L. Jackson
Northwestern University, Chicago, IL
,
Thomas Carton
Lousiana Public Health Institute, New Orleans, LA
,
Russ Waitman
Kansas University Medical Center, Kansas City, KS
,
Mei Liu
Kansas University Medical Center, Kansas City, KS
,
Ashok Krishnamurthy
University of North Carolina, Chapel Hill, NC
,
Lauren Hall
BaylorScott & White Health, Dallas, TX
,
Nickie Cappella
University of Pittsburgh School of Medicine, Pittsburgh, PA
,
Shyam Visweswaran
University of Pittsburgh School of Medicine, Pittsburgh, PA
,
Michael J. Becich
University of Pittsburgh School of Medicine, Pittsburgh, PA
,
Reuben Applegate
University of Texas at Houston, Houston, TX
,
Elmer Bernstam
University of Texas at Houston, Houston, TX
,
Russell Rothman
Vanderbilt University, Nashville, TN
,
Michael Matheny
Vanderbilt University, Nashville, TN
,
Gloria Lipori
University of Florida, Gainesville, FL
,
Jiang Bian
University of Florida, Gainesville, FL
,
William Hogan
University of Florida, Gainesville, FL
,
Douglas Bell
University of California, Los Angeles, CA
,
Andrew Martin
Regenstrief Institute, Indianapolis, IN
,
Shaun Grannis
Regenstrief Institute, Indianapolis, IN
,
Jeff Klann
Harvard Medical School, Boston, MA
,
Rebecca Sutphen
USF Morsani College of Medicine, Tampa, FL
,
Amy B. O’Hara
Census Bureau, Suitland, MD
,
Abel Kho
Northwestern University, Chicago, IL
› Author Affiliations
Funding Mike Becich received grants by CTSI: UL1TR001857–01, and PCORI PaTH: CDRN-1306–04912.
Further Information

Publication History

received: 16 November 2016

accepted: 21 January 2017

Publication Date:
21 December 2017 (online)

Summary

Background: Patient matching is a key barrier to achieving interoperability. Patient demographic elements must be consistently collected over time and region to be valuable elements for patient matching.

Objectives: We sought to determine what patient demographic attributes are collected at multiple institutions in the United States and see how their availability changes over time and across clinical sites.

Methods: We compiled a list of 36 demographic elements that stakeholders previously identified as essential patient demographic attributes that should be collected for the purpose of linking patient records. We studied a convenience sample of 9 health care systems from geographically distinct sites around the country. We identified changes in the availability of individual patient demographic attributes over time and across clinical sites.

Results: Several attributes were consistently available over the study period (2005–2014) including last name (99.96%), first name (99.95%), date of birth (98.82%), gender/sex (99.73%), postal code (94.71%), and full street address (94.65%). Other attributes changed significantly from 2005–2014: Social security number (SSN) availability declined from 83.3% to 50.44% (p<0.0001). Email address availability increased from 8.94% up to 54% availability (p<0.0001). Work phone number increased from 20.61% to 52.33% (p<0.0001).

Conclusions: Overall, first name, last name, date of birth, gender/sex and address were widely collected across institutional sites and over time. Availability of emerging attributes such as email and phone numbers are increasing while SSN use is declining. Understanding the relative availability of patient attributes can inform strategies for optimal matching in healthcare.

Citation: Culbertson A, Goel S, Madden MB, Jackson KL, Carton T, Waitman R, Liu M, Krishnamurthy A, Hall L, Cappella N, Visweswaran S, Safaeinili N, Becich MJ, Applegate R, Bernstam E, Rothman R, Matheny M, Lipori G, Bian J, Hogan W, Bell D, Martin A, Grannis S, Klann J, Sutphen R, O’Hara AB, Kho A. The building blocks of interoperability: A multisite analysis of patient demographic attributes available for matching. Appl Clin Inform 2017; 8: 322–336 https://doi.org/10.4338/ACI-2016-11-RA-0196