The Building Blocks of Interoperability. A Multisite Analysis of Patient Demographic Attributes Available for Matching
| Autor: | Amy O'Hara, Andrew Martin, Reuben J. Applegate, Douglas S. Bell, Michael J. Becich, Elmer V. Bernstam, Nickie Cappella, Jeffrey G. Klann, Adam Culbertson, Ashok Krishnamurthy, Thomas Carton, Jian-Guo Bian, Margaret B. Madden, Abel N. Kho, Gloria Lipori, Kathryn L. Jackson, Niloufar Safaeinili, William R. Hogan, Shyam Visweswaran, Michael E. Matheny, Russ Waitman, Satyender Goel, Mei Liu, Russell L. Rothman, Lauren Hall, Shaun J. Grannis, Rebecca Sutphen |
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| Rok vydání: | 2017 |
| Předmět: |
Male
Matching (statistics) Patient Identification Systems Optimal matching Time Factors data collection Clinical Sciences 8.1 Organisation and delivery of services Health Informatics 030204 cardiovascular system & hematology World Wide Web 03 medical and health sciences Record linkage 0302 clinical medicine Health Information Management Phone Health care Humans 030212 general & internal medicine education Master patient index data completeness data validation and verification master patient index Demography education.field_of_study Data collection business.industry Social Security number 3. Good health Computer Science Applications Geography Female Medical Record Linkage Generic health relevance business data processing Research Article Health and social care services research Information Systems |
| Zdroj: | Applied clinical informatics, vol 8, iss 2 Applied Clinical Informatics |
| Popis: | SummaryBackground: 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% (pConclusions: 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 |
| Databáze: | OpenAIRE |
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