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The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching

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...

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Autores principales: Culbertson, Adam, Goel, Satyender, Madden, Margaret B., Safaeinili, Niloufar, Jackson, Kathryn L., Carton, Thomas, Waitman, Russ, Liu, Mei, Krishnamurthy, Ashok, Hall, Lauren, Cappella, Nickie, Visweswaran, Shyam, Becich, Michael J., Applegate, Reuben, Bernstam, Elmer, Rothman, Russell, Matheny, Michael, Lipori, Gloria, Bian, Jiang, Hogan, William, Bell, Douglas, Martin, Andrew, Grannis, Shaun, Klann, Jeff, Sutphen, Rebecca, O’Hara, Amy B., Kho, Abel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Schattauer GmbH 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6241737/
https://www.ncbi.nlm.nih.gov/pubmed/28378025
http://dx.doi.org/10.4338/ACI-2016-11-RA-0196
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author Culbertson, Adam
Goel, Satyender
Madden, Margaret B.
Safaeinili, Niloufar
Jackson, Kathryn L.
Carton, Thomas
Waitman, Russ
Liu, Mei
Krishnamurthy, Ashok
Hall, Lauren
Cappella, Nickie
Visweswaran, Shyam
Becich, Michael J.
Applegate, Reuben
Bernstam, Elmer
Rothman, Russell
Matheny, Michael
Lipori, Gloria
Bian, Jiang
Hogan, William
Bell, Douglas
Martin, Andrew
Grannis, Shaun
Klann, Jeff
Sutphen, Rebecca
O’Hara, Amy B.
Kho, Abel
author_facet Culbertson, Adam
Goel, Satyender
Madden, Margaret B.
Safaeinili, Niloufar
Jackson, Kathryn L.
Carton, Thomas
Waitman, Russ
Liu, Mei
Krishnamurthy, Ashok
Hall, Lauren
Cappella, Nickie
Visweswaran, Shyam
Becich, Michael J.
Applegate, Reuben
Bernstam, Elmer
Rothman, Russell
Matheny, Michael
Lipori, Gloria
Bian, Jiang
Hogan, William
Bell, Douglas
Martin, Andrew
Grannis, Shaun
Klann, Jeff
Sutphen, Rebecca
O’Hara, Amy B.
Kho, Abel
author_sort Culbertson, Adam
collection PubMed
description 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
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spelling pubmed-62417372018-11-23 The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching Culbertson, Adam Goel, Satyender Madden, Margaret B. Safaeinili, Niloufar Jackson, Kathryn L. Carton, Thomas Waitman, Russ Liu, Mei Krishnamurthy, Ashok Hall, Lauren Cappella, Nickie Visweswaran, Shyam Becich, Michael J. Applegate, Reuben Bernstam, Elmer Rothman, Russell Matheny, Michael Lipori, Gloria Bian, Jiang Hogan, William Bell, Douglas Martin, Andrew Grannis, Shaun Klann, Jeff Sutphen, Rebecca O’Hara, Amy B. Kho, Abel Appl Clin Inform 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 Schattauer GmbH 2017-04 2017-12-21 /pmc/articles/PMC6241737/ /pubmed/28378025 http://dx.doi.org/10.4338/ACI-2016-11-RA-0196 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Culbertson, Adam
Goel, Satyender
Madden, Margaret B.
Safaeinili, Niloufar
Jackson, Kathryn L.
Carton, Thomas
Waitman, Russ
Liu, Mei
Krishnamurthy, Ashok
Hall, Lauren
Cappella, Nickie
Visweswaran, Shyam
Becich, Michael J.
Applegate, Reuben
Bernstam, Elmer
Rothman, Russell
Matheny, Michael
Lipori, Gloria
Bian, Jiang
Hogan, William
Bell, Douglas
Martin, Andrew
Grannis, Shaun
Klann, Jeff
Sutphen, Rebecca
O’Hara, Amy B.
Kho, Abel
The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching
title The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching
title_full The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching
title_fullStr The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching
title_full_unstemmed The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching
title_short The Building Blocks of Inter-operability: A Multisite Analysis of Patient Demographic Attributes Available for Matching
title_sort building blocks of inter-operability: a multisite analysis of patient demographic attributes available for matching
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6241737/
https://www.ncbi.nlm.nih.gov/pubmed/28378025
http://dx.doi.org/10.4338/ACI-2016-11-RA-0196
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