Evolving availability and standardization of patient attributes for matching.

data collection data completeness data standardization demographic attributes electronic health records (EHRs) interoperability patient matching record linkage

Journal

Health affairs scholar
ISSN: 2976-5390
Titre abrégé: Health Aff Sch
Pays: England
ID NLM: 9918627882906676

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 18 05 2023
revised: 03 08 2023
accepted: 19 09 2023
medline: 17 5 2024
pubmed: 17 5 2024
entrez: 17 5 2024
Statut: epublish

Résumé

Variation in availability, format, and standardization of patient attributes across health care organizations impacts patient-matching performance. We report on the changing nature of patient-matching features available from 2010-2020 across diverse care settings. We asked 38 health care provider organizations about their current patient attribute data-collection practices. All sites collected name, date of birth (DOB), address, and phone number. Name, DOB, current address, social security number (SSN), sex, and phone number were most commonly used for cross-provider patient matching. Electronic health record queries for a subset of 20 participating sites revealed that DOB, first name, last name, city, and postal codes were highly available (>90%) across health care organizations and time. SSN declined slightly in the last years of the study period. Birth sex, gender identity, language, country full name, country abbreviation, health insurance number, ethnicity, cell phone number, email address, and weight increased over 50% from 2010 to 2020. Understanding the wide variation in available patient attributes across care settings in the United States can guide selection and standardization efforts for improved patient matching in the United States.

Identifiants

pubmed: 38756741
doi: 10.1093/haschl/qxad047
pii: qxad047
pmc: PMC10986191
doi:

Types de publication

Journal Article

Langues

eng

Pagination

qxad047

Informations de copyright

Published by Oxford University Press on behalf of Project HOPE - The People-To-People Health Foundation, Inc. 2023.

Déclaration de conflit d'intérêts

Conflicts of interest Please see ICMJE form(s) for author conflicts of interest. These have been provided as supplementary materials.

Auteurs

Yu Deng (Y)

Center for Health Information Partnerships, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.

Lacey P Gleason (LP)

Center for Health Information Partnerships, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.

Adam Culbertson (A)

Center for Health Information Partnerships, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.

Xiaotian Chen (X)

Statistical Innovation Group, Data and Statistical Sciences, AbbVie, Inc, North Chicago, IL 60064, United States.

Elmer V Bernstam (EV)

School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States.
Division of General Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States.

Theresa Cullen (T)

Pima County Health Department, Tucson, AZ 85714, United States.

Ramkiran Gouripeddi (R)

Clinical and Translational Science Institute and Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, United States.

Christopher Harle (C)

Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN 46202, United States.
Regenstrief Institute Center for Biomedical Informatics, Indianapolis, IN 46202, United States.

David F Hesse (DF)

Hesse Foot and Ankle Clinic, SC, Eau Claire, WI 54751, United States.

Jacob Kean (J)

VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System and University of Utah, Salt Lake City, UT 84148, United States.

John Lee (J)

Edward Hospital, Naperville, IL 60540, United States.

Tanja Magoc (T)

Integrated Data Repository Research Services, Clinical and Translational Science Institute, University of Florida, Gainesville, FL 32609, United States.

Daniella Meeker (D)

Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510, United States.

Toan Ong (T)

Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States.

Jyotishman Pathak (J)

Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States.

Marc Rosenman (M)

Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, United States.

Laura K Rusie (LK)

Howard Brown Health, Chicago, IL 60640, United States.

Akash J Shah (AJ)

Nuvance Health, Danbury, CT 06810, United States.

Lizheng Shi (L)

Department of Health Policy and Management, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, United States.

Aaron Thomas (A)

North Carolina Translational and Clinical Sciences Institute, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.

William E Trick (WE)

Center for Health Equity & Innovation, Cook County Health, Chicago, IL 60612, United States.

Shaun Grannis (S)

Regenstrief Institute Center for Biomedical Informatics, Indianapolis, IN 46202, United States.

Abel Kho (A)

Center for Health Information Partnerships, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.

Classifications MeSH